This study systematically examines the literature of electric vehicle (EV) purchase intention and consumer behavior using a bibliometric method to unveil three main research questions: 1) identifying influential publications, authors, and journals; 2) analyzing the thematic evolution of research over time; and 3) identifying emerging research directions. The main objective is to provide a comprehensive understanding of the current state of knowledge and to guide future research in this evolving field. A comprehensive bibliometric analysis was conducted, using Scopus statistics analysis, R-Studio Biblioshiny and VOSviewer, comprising 687 publications authored by 1743 researchers representing 34 different countries with the dataset sourced from the Scopus database from 2010 to 2023. To achieve a nuanced understanding of the research landscape, a multifaceted approach was adopted, including detailed citation analysis, author co-citation analysis, keyword analysis, and thematic mapping. Through meticulous analysis, this study identifies the most influential publications, authors, and journals in the domain of EV purchase intentions and consumer behaviors. It also traces the evolution of themes over time and identifies emerging research directions, providing valuable insights into the trajectory and future avenues of inquiry within this field. The findings contribute to a deeper understanding of the dynamics shaping research in the realm of EVs. The insights gained contribute significantly to advancing knowledge in this crucial domain, offering theoretical insights and practical implications for policymakers, businesses, manufacturers, and academics.

1. Afroz, R., Masud, M. M., Akhtar, R., et al. (2015). Consumer purchase intention towards environmentally friendly vehicles: an empirical investigation in Kuala Lumpur, Malaysia. Environmental Science and Pollution Research, 22(20), 16153–16163. https://doi.org/10.1007/s11356-015-4841-8
2. Ahmad, P., Dummer, P. M. H., Chaudhry, A., et al. (2019). A bibliometric study of the top 100 most‐cited randomized controlled trials, systematic reviews and meta‐analyses published in endodontic journals. International Endodontic Journal, 52(9), 1297–1316. Portico. https://doi.org/10.1111/iej.13131
3. Ajanovic, A. (2015). The future of electric vehicles: prospects and impediments. WIREs Energy and Environment, 4(6), 521–536. Portico. https://doi.org/10.1002/wene.160
4. Axsen, J., Langman, B., & Goldberg, S. (2017). Confusion of innovations: Mainstream consumer perceptions and misperceptions of electric-drive vehicles and charging programs in Canada. Energy Research & Social Science, 27, 163–173. https://doi.org/10.1016/j.erss.2017.03.008
5. Aysan, A. F., & Nanaeva, Z. (2022). Fintech as a Financial Disruptor: A Bibliometric Analysis. FinTech, 1(4), 412–433. https://doi.org/10.3390/fintech1040031
6. Biblioshiny. (2024). Available online: https://biblioshiny.org/ (accessed on 3 April 2024).
7. Bjerkan, K. Y., Nørbech, T. E., & Nordtømme, M. E. (2016). Incentives for promoting Battery Electric Vehicle (BEV) adoption in Norway. Transportation Research Part D: Transport and Environment, 43, 169–180. https://doi.org/10.1016/j.trd.2015.12.002
8. Bontis, N., & Serenko, A. (2009). A follow‐up ranking of academic journals. Journal of Knowledge Management, 13(1), 16–26. https://doi.org/10.1108/13673270910931134
9. Boudet, H. S. (2019). Public perceptions of and responses to new energy technologies. Nature Energy, 4(6), 446–455. https://doi.org/10.1038/s41560-019-0399-x
10. Carley, S., Krause, R. M., Lane, B. W., et al. (2013). Intent to purchase a plug-in electric vehicle: A survey of early impressions in large US cites. Transportation Research Part D: Transport and Environment, 18, 39–45. https://doi.org/10.1016/j.trd.2012.09.007
11. Chuan, B. T. (2011). Conference Report The 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS25) November 5-9, 2010, Shenzhen, China. IEEJ Transactions on Industry Applications, 131(4). https://doi.org/10.1541/ieejias.131.NL4_4
12. Clarivate Analytics. (2024). Web of Science. Available online: https://www.webofscience.com/ (accessed on 5 March 2024).
13. Climate.gov. (n.d.). Available online: https://www.climate.gov/ (accessed on 24 June 2023).
14. Coffman, M., Bernstein, P., & Wee, S. (2016). Electric vehicles revisited: a review of factors that affect adoption. Transport Reviews, 37(1), 79–93. https://doi.org/10.1080/01441647.2016.1217282
15. Degirmenci, K., & Breitner, M. H. (2017). Consumer purchase intentions for electric vehicles: Is green more important than price and range? Transportation Research Part D: Transport and Environment, 51, 250–260. https://doi.org/10.1016/j.trd.2017.01.001
16. Diao, Q., Sun, W., Yuan, X., et al. (2016). Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies. Applied Energy, 178, 567–578. https://doi.org/10.1016/j.apenergy.2016.05.116
17. Dillman, K. J., Árnadóttir, Á., Heinonen, J., et al. (2020). Review and Meta-Analysis of EVs: Embodied Emissions and Environmental Breakeven. Sustainability, 12(22), 9390. https://doi.org/10.3390/su12229390
18. Dixit, S. K., & Singh, A. K. (2022). Predicting Electric Vehicle (EV) Buyers in India: A Machine Learning Approach. The Review of Socionetwork Strategies, 16(2), 221–238. https://doi.org/10.1007/s12626-022-00109-9
19. Edwards, J. B., McKinnon, A. C., & Cullinane, S. L. (2010). Comparative analysis of the carbon footprints of conventional and online retailing. International Journal of Physical Distribution & Logistics Management, 40(1/2), 103–123. https://doi.org/10.1108/09600031011018055
20. Elsevier. (2024). ScienceDirect. Available online: https://www.sciencedirect.com/ (accessed on 15 March 2024).
21. Febransyah, A. (2021). Predicting Purchase Intention towards Battery Electric Vehicles: A Case of Indonesian Market. World Electric Vehicle Journal, 12(4), 240. https://doi.org/10.3390/wevj12040240
22. Fernandes-Jesus, M., Lima, M. L., & Sabucedo, J.-M. (2020). “Save the climate! Stop the oil”: Actual protest behavior and core framing tasks in the Portuguese climate movement. Journal of Social and Political Psychology, 8(1), 426–452. https://doi.org/10.5964/jspp.v8i1.1116
23. Furstenau, L. B., Rabaioli, B., Sott, M. K., et al. (2021). A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020. International Journal of Environmental Research and Public Health, 18(3), 952. https://doi.org/10.3390/ijerph18030952
24. Gamallo, C., Alvaro, R., Fraile-Ardanuy, J., et al. (2013). Evaluation of the utilization of electric vehicles for building energy management in hotels. 2013 International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances (SmartMILE). https://doi.org/10.1109/smartmile.2013.6708193
25. Gao, S., Meng, F., Gu, Z., et al. (2021). Mapping and Clustering Analysis on Environmental, Social and Governance Field a Bibliometric Analysis Using Scopus. Sustainability, 13(13), 7304. https://doi.org/10.3390/su13137304
26. Geissdoerfer, M., Savaget, P., Bocken, N. M. P., et al. (2017). The Circular Economy – A new sustainability paradigm? Journal of Cleaner Production, 143, 757–768. https://doi.org/10.1016/j.jclepro.2016.12.048
27. Glänzel, W. (2001). Coauthorship patterns and trends in the sciences (1980-1998): A bibliometric study with implications for database indexing and search strategies. Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. 50(3).
28. Google Scholar. (2024). Available online: https://scholar.google.com/ (accessed on 12 March 2024).
29. Graham-Rowe, E., Gardner, B., Abraham, C., et al. (2012). Mainstream consumers driving plug-in battery-electric and plug-in hybrid electric cars: A qualitative analysis of responses and evaluations. Transportation Research Part A: Policy and Practice, 46(1), 140–153. https://doi.org/10.1016/j.tra.2011.09.008
30. Hackbarth, A., & Madlener, R. (2013). Consumer preferences for alternative fuel vehicles: A discrete choice analysis. Transportation Research Part D: Transport and Environment, 25, 5–17. https://doi.org/10.1016/j.trd.2013.07.002
31. Hadboul, R. M., & Ali, A. M. (2022). Performance evaluation of three-phase induction motor driving an electric vehicle under different road conditions. Journal of Engineering and Sustainable Development, 25(6), 12–19. https://doi.org/10.31272/jeasd.25.6.2
32. Harzing, A., & van der Wal, R. (2008). A Google Scholar h‐index for journals: An alternative metric to measure journal impact in economics and business. Journal of the American Society for Information Science and Technology, 60(1), 41–46. Portico. https://doi.org/10.1002/asi.20953
33. Hawkins, T. R., Gausen, O. M., & Strømman, A. H. (2012). Environmental impacts of hybrid and electric vehicles—a review. The International Journal of Life Cycle Assessment, 17(8), 997–1014. https://doi.org/10.1007/s11367-012-0440-9
34. Hawkins, T. R., Singh, B., Majeau‐Bettez, G., et al. (2012). Comparative Environmental Life Cycle Assessment of Conventional and Electric Vehicles. Journal of Industrial Ecology, 17(1), 53–64. Portico. https://doi.org/10.1111/j.1530-9290.2012.00532.x
35. He, T. (2023). Analysis of China’s Electrical Vehicles Market Competition: Taking Tesla and NIO and Xpeng as Examples. BCP Business & Management, 37, 107–112. https://doi.org/10.54691/bcpbm.v37i.3554
36. He, X., Zhan, W., & Hu, Y. (2018). Consumer purchase intention of electric vehicles in China: The roles of perception and personality. Journal of Cleaner Production, 204, 1060–1069. https://doi.org/10.1016/j.jclepro.2018.08.260
37. Helveston, J. P., Liu, Y., Feit, E. M., et al. (2015). Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China. Transportation Research Part A: Policy and Practice, 73, 96–112. https://doi.org/10.1016/j.tra.2015.01.002
38. Hu, J., Gholami, A., Stone, N., et al. (2018). An Evaluation of h-Index as a Measure of Research Productivity Among Canadian Academic Plastic Surgeons. Plastic Surgery, 26(1), 5–10. https://doi.org/10.1177/2292550317749508
39. Huang, X., & Ge, J. (2019). Electric vehicle development in Beijing: An analysis of consumer purchase intention. Journal of Cleaner Production, 216, 361–372. https://doi.org/10.1016/j.jclepro.2019.01.231
40. Jansson, J., Nordlund, A., & Westin, K. (2017). Examining drivers of sustainable consumption: The influence of norms and opinion leadership on electric vehicle adoption in Sweden. Journal of Cleaner Production, 154, 176–187. https://doi.org/10.1016/j.jclepro.2017.03.186
41. Jayasingh, S., Girija, T., & Arunkumar, S. (2021). Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers. Sustainability, 13(22), 12851. https://doi.org/10.3390/su132212851
42. Jensen, A. F., Cherchi, E., & Mabit, S. L. (2013). On the stability of preferences and attitudes before and after experiencing an electric vehicle. Transportation Research Part D: Transport and Environment, 25, 24–32. https://doi.org/10.1016/j.trd.2013.07.006
43. Jin, K., Hu, Q., Xu, J., et al. (2019). The 100 most cited articles on thoracic surgery management of lung cancer. Journal of Thoracic Disease, 11(11), 4886–4903. https://doi.org/10.21037/jtd.2019.11.14
44. Kabil, M., Priatmoko, S., Magda, R., et al. (2021). Blue Economy and Coastal Tourism: A Comprehensive Visualization Bibliometric Analysis. Sustainability, 13(7), 3650. https://doi.org/10.3390/su13073650
45. Kara, S., Li, W., & Sadjiva, N. (2017). Life Cycle Cost Analysis of Electrical Vehicles in Australia. Procedia CIRP, 61, 767–772. https://doi.org/10.1016/j.procir.2016.11.179
46. Kelly, J. C., Ersal, T., Li, C.-T., et al. (2015). Sustainability, resiliency, and grid stability of the coupled electricity and transportation infrastructures: Case for an Integrated Analysis. Journal of Infrastructure Systems, 21(4). https://doi.org/10.1061/(asce)is.1943-555x.0000251
47. Kim, J. S., & Kim, S. (2021). Thirty years of the Journal of Derivatives and Quantitative Studies: a bibliometric analysis. Journal of Derivatives and Quantitative Studies: Seonmul yeon"™gu, 29(4), 258–279. https://doi.org/10.1108/jdqs-08-2021-0020
48. Lai, I., Liu, Y., Sun, X., et al. (2015). Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau. Sustainability, 7(9), 12564–12585. https://doi.org/10.3390/su70912564
49. Lennox, L., Linwood-Amor, A., Maher, L., et al. (2020). Making change last? Exploring the value of sustainability approaches in healthcare: a scoping review. Health Research Policy and Systems, 18(1). https://doi.org/10.1186/s12961-020-00601-0
50. Li, X., Jiang, J., Zhang, C., et al. (2015). Robustness of SOC Estimation Algorithms for EV Lithium-Ion Batteries against Modeling Errors and Measurement Noise. Mathematical Problems in Engineering, 2015, 1–14. https://doi.org/10.1155/2015/719490
51. Liao, F., Molin, E., & van Wee, B. (2016). Consumer preferences for electric vehicles: a literature review. Transport Reviews, 37(3), 252–275. https://doi.org/10.1080/01441647.2016.1230794
52. Luo, X., & Qiu, R. (2020). Electric Vehicle Charging Station Location towards Sustainable Cities. International Journal of Environmental Research and Public Health, 17(8), 2785. https://doi.org/10.3390/ijerph17082785
53. M. Sabri, M. F., Danapalasingam, K. A., & Rahmat, M. F. (2016). A review on hybrid electric vehicles architecture and energy management strategies. Renewable and Sustainable Energy Reviews, 53, 1433–1442. https://doi.org/10.1016/j.rser.2015.09.036
54. Maso, R. A. & Balqiah, T. E. (2022). Analyzing Factors Affecting Purchase Intention of Electric Vehicle in Indonesia; Moderation Role of Personal Innovativeness on Those Factors. Proceedings of International Conference on Economics Business and Government Challenges, 1(1), 350–361. https://doi.org/10.33005/ic-ebgc.v1i1.47
55. McCollum, D., & Yang, C. (2009). Achieving deep reductions in US transport greenhouse gas emissions: Scenario analysis and policy implications. Energy Policy, 37(12), 5580–5596. https://doi.org/10.1016/j.enpol.2009.08.038
56. Mian, M. K., Sreedharan, S., Limaye, N. S., et al. (2020). Research Trends in Anticoagulation Therapy over the Last 25 Years. Seminars in Thrombosis and Hemostasis, 46(08), 919–931. https://doi.org/10.1055/s-0040-1718892
57. Mishal, A., Dubey, R., Gupta, O. K., et al. (2017). Dynamics of environmental consciousness and green purchase behaviour: an empirical study. International Journal of Climate Change Strategies and Management, 9(5), 682–706. https://doi.org/10.1108/ijccsm-11-2016-0168
58. Mishra, S., & Malhotra, G. (2019). Is India Ready for e-Mobility? An Exploratory Study to Understand e-Vehicles Purchase Intention. Theoretical Economics Letters, 09(02), 376–391. https://doi.org/10.4236/tel.2019.92027
59. Moon, S.-J. (2021). Effect of consumer environmental propensity and innovative propensity on intention to purchase electric vehicles: Applying an extended theory of planned behavior. International Journal of Sustainable Transportation, 16(11), 1032–1046. https://doi.org/10.1080/15568318.2021.1961950
60. Morganti, E., & Browne, M. (2018). Technical and operational obstacles to the adoption of electric vans in France and the UK: An operator perspective. Transport Policy, 63, 90–97. https://doi.org/10.1016/j.tranpol.2017.12.010
61. Mustapa, S. I., Ayodele, B. V., Mohamad Ishak, W. W., et al. (2020). Evaluation of Cost Competitiveness of Electric Vehicles in Malaysia Using Life Cycle Cost Analysis Approach. Sustainability, 12(13), 5303. https://doi.org/10.3390/su12135303
62. NASA Climate Change. (n.d.). Home-Climate Change: Vital Signs of the Planet. Available online: https://climate.nasa.gov/ (accessed on 23 June 2023).
63. Nerur, S. P., Rasheed, A. A., & Natarajan, V. (2007). The intellectual structure of the strategic management field: an author co‐citation analysis. Strategic Management Journal, 29(3), 319–336. Portico. https://doi.org/10.1002/smj.659
64. Newman, M. E. J. (2004). Detecting community structure in networks. The European Physical Journal B - Condensed Matter, 38(2), 321–330. https://doi.org/10.1140/epjb/e2004-00124-y
65. Noppers, E. H., Keizer, K., Bolderdijk, J. W., et al. (2014). The adoption of sustainable innovations: Driven by symbolic and environmental motives. Global Environmental Change, 25, 52–62. https://doi.org/10.1016/j.gloenvcha.2014.01.012
66. Nowell, L. S., Norris, J. M., White, D. E., et al. (2017). Thematic Analysis. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847
67. Oliveira, L., Messagie, M., Rangaraju, S., et al. (2015). Key issues of lithium-ion batteries – from resource depletion to environmental performance indicators. Journal of Cleaner Production, 108, 354–362. https://doi.org/10.1016/j.jclepro.2015.06.021
68. Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, n71. https://doi.org/10.1136/bmj.n71
69. Pastva, J., Shank, J., Gutzman, K. E., et al. (2018). Capturing and Analyzing Publication, Citation, and Usage Data for Contextual Collection Development. The Serials Librarian, 74(1–4), 102–110. https://doi.org/10.1080/0361526x.2018.1427996
70. Plötz, P., Schneider, U., Globisch, J., et al. (2014). Who will buy electric vehicles? Identifying early adopters in Germany. Transportation Research Part A: Policy and Practice, 67, 96–109. https://doi.org/10.1016/j.tra.2014.06.006
71. Porter, C., Atkinson, P., & Gregory, I. N. (2018). Space and Time in 100 Million Words: Health and Disease in a Nineteenth-century Newspaper. International Journal of Humanities and Arts Computing, 12(2), 196–216. https://doi.org/10.3366/ijhac.2018.0222
72. Rajole, R., Kakulte, R., & Pathak, A. (2021). Electric Vehicle Charging System. International Journal of Advanced Research in Science, Communication and Technology, 92–96. Internet Archive. https://doi.org/10.48175/ijarsct-1099
73. Rallabandi, V., Lawhorn, D., Ionel, D. M., et al. (2018). Multi-Physics Modeling for Electric and Hybrid Vehicles with In-Wheel Electric Motors. In: Proceedings of the 2018 IEEE Transportation Electrification Conference and Expo (ITEC). https://doi.org/10.1109/itec.2018.8450091
74. ResearchGate. (2024). Available online: https://www.researchgate.net/ (accessed on 12 March 2024).
75. Rezvani, Z., Jansson, J., & Bodin, J. (2015). Advances in consumer electric vehicle adoption research: A review and research agenda. Transportation Research Part D: Transport and Environment, 34, 122–136. https://doi.org/10.1016/j.trd.2014.10.010
76. Senyapar, H. N. D., Akil, M., & Dokur, E. (2023). Adoption of Electric Vehicles: Purchase Intentions and Consumer Behaviors Research in Turkey. SAGE Open, 13(2). https://doi.org/10.1177/21582440231180586
77. Shim, D., Shin, J., & Kwak, S. (2018). Modelling the consumer decision‐making process to identify key drivers and bottlenecks in the adoption of environmentally friendly products. Business Strategy and the Environment, 27(8), 1409–1421. Portico. https://doi.org/10.1002/bse.2192
78. Singleton, A., & Arribas‐Bel, D. (2019). Geographic Data Science. Geographical Analysis, 53(1), 61–75. Portico. https://doi.org/10.1111/gean.12194
79. Sovacool, B. K., Abrahamse, W., Zhang, L., et al. (2019). Pleasure or profit? Surveying the purchasing intentions of potential electric vehicle adopters in China. Transportation Research Part A: Policy and Practice, 124, 69–81. https://doi.org/10.1016/j.tra.2019.03.002
80. Statsenko, L., Samaraweera, A., Bakhshi, J., et al. (2022). Construction 4.0 technologies and applications: a systematic literature review of trends and potential areas for development. Construction Innovation, 23(5), 961–993. https://doi.org/10.1108/ci-07-2021-0135
81. Sundler, A. J., Lindberg, E., Nilsson, C., et al. (2019). Qualitative thematic analysis based on descriptive phenomenology. Nursing Open, 6(3), 733–739. Portico. https://doi.org/10.1002/nop2.275
82. Suprobowati, G. D., Apriliana, G. M. C., & Hutami, W. P. (2021). Indonesian Electric Vehicle Policy, Realization and Development. Advances in Social Science, Education and Humanities Research. https://doi.org/10.2991/assehr.k.211221.018
83. Sustainability. (2024). Available online: https://www.mdpi.com/journal/sustainability (accessed on 10 March 2024).
84. Transportation Research Part A: Policy and Practice. (2024). Available online: https://www.journals.elsevier.com/transportation-research-part-a-policy-and-practice (accessed on 10 March 2024).
85. Transportation Research Part D: Transport and Environment. (2024). Available online: https://www.journals.elsevier.com/transportation-research-part-d-transport-and-environment (accessed on 10 March 2024).
86. Tu, J.-C., & Yang, C. (2019). Key Factors Influencing Consumers’ Purchase of Electric Vehicles. Sustainability, 11(14), 3863. https://doi.org/10.3390/su11143863
87. Vaismoradi, M., Turunen, H., & Bondas, T. (2013). Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nursing & Health Sciences, 15(3), 398–405. Portico. https://doi.org/10.1111/nhs.12048
88. Vazifehdoust, H., Taleghani, M., Esmaeilpour, F., et al. (2013). Purchasing green to become greener: Factors influence consumers’ green purchasing behavior. Management Science Letters, 2489–2500. https://doi.org/10.5267/j.msl.2013.08.013
89. VOSviewer. (2024). Available online: https://www.vosviewer.com/ (accessed on 15 March 2024).
90. Wang, N., & Yan, R. (2015). Research on Consumers’ Use Willingness and Opinions of Electric Vehicle Sharing: An Empirical Study in Shanghai. Sustainability, 8(1), 7. https://doi.org/10.3390/su8010007
91. Wang, S., Fan, J., Zhao, D., et al. (2014). Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model. Transportation, 43(1), 123–143. https://doi.org/10.1007/s11116-014-9567-9
92. Wu, X., Freese, D., Cabrera, A., et al. (2015). Electric vehicles’ energy consumption measurement and estimation. Transportation Research Part D: Transport and Environment, 34, 52–67. https://doi.org/10.1016/j.trd.2014.10.007
93. Zang, Y., Qian, J., & Jiang, Q. (2022). Research on the Influence Mechanism of Consumers’ Purchase Intention of Electric Vehicles Based on Perceived Endorsement: A Case Study of Chinese Electric Vehicle Start-Ups. World Electric Vehicle Journal, 13(1), 19. https://doi.org/10.3390/wevj13010019
94. Zhang, J., Xu, S., He, Z., et al. (2022). Factors Influencing Adoption Intention for Electric Vehicles under a Subsidy Deduction: From Different City-Level Perspectives. Sustainability, 14(10), 5777. https://doi.org/10.3390/su14105777
95. Ziemba, P. (2021). Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods. Energies, 14(22), 7786. https://doi.org/10.3390/en14227786
96. Zou, X., & Sun, Y. (2021). Bibliometrics Analysis of the Research Status and Trends of the Association Between Depression and Insulin From 2010 to 2020. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.683474
97. Zyoud, S. H., Shakhshir, M., Abushanab, A. S., et al. (2023). Bibliometric mapping of the landscape and structure of nutrition and depression research: visualization analysis. Journal of Health, Population and Nutrition, 42(1). https://doi.org/10.1186/s41043-023-00378-2