Pooja Goel

1.3k total citations · 1 hit paper
42 papers, 812 citations indexed

About

Pooja Goel is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Pooja Goel has authored 42 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Marketing, 14 papers in Information Systems and Management and 11 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Pooja Goel's work include Technology Adoption and User Behaviour (14 papers), Customer Service Quality and Loyalty (8 papers) and Consumer Retail Behavior Studies (8 papers). Pooja Goel is often cited by papers focused on Technology Adoption and User Behaviour (14 papers), Customer Service Quality and Loyalty (8 papers) and Consumer Retail Behavior Studies (8 papers). Pooja Goel collaborates with scholars based in India, Qatar and United States. Pooja Goel's co-authors include Anuj Sharma, Nripendra P. Rana, Nitika Sharma, Yogesh K. Dwivedi, K. E. K. Vimal, K. Mathiyazhagan, Satyanarayana Parayitam, Vincent Dutot, Brijesh Sivathanu and Mihalis Giannakis and has published in prestigious journals such as Journal of Cleaner Production, Journal of Business Research and Molecular Endocrinology.

In The Last Decade

Pooja Goel

36 papers receiving 760 citations

Hit Papers

Evolution of artificial intelligence research in Technolo... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pooja Goel India 13 323 242 151 121 115 42 812
Ali Vafaei‐Zadeh Malaysia 19 285 0.9× 307 1.3× 325 2.2× 67 0.6× 110 1.0× 83 1.2k
Elena Higueras‐Castillo Spain 18 293 0.9× 246 1.0× 228 1.5× 154 1.3× 328 2.9× 36 987
Lanhui Cai South Korea 10 244 0.8× 126 0.5× 182 1.2× 154 1.3× 27 0.2× 21 660
Sven Henkel Germany 13 484 1.5× 342 1.4× 92 0.6× 261 2.2× 205 1.8× 38 979
Jay Y. Ohm South Korea 11 120 0.4× 354 1.5× 287 1.9× 39 0.3× 133 1.2× 19 821
Rishi Kant India 13 798 2.5× 222 0.9× 172 1.1× 71 0.6× 195 1.7× 18 1.2k
Ruchi Garg India 13 337 1.0× 201 0.8× 81 0.5× 41 0.3× 73 0.6× 35 664
Moon-Koo Kim South Korea 15 626 1.9× 320 1.3× 470 3.1× 101 0.8× 179 1.6× 29 1.3k
Roberta Guglielmetti Mugion Italy 16 342 1.1× 278 1.1× 147 1.0× 151 1.2× 20 0.2× 47 974
Rongting Zhou China 14 126 0.4× 218 0.9× 102 0.7× 21 0.2× 58 0.5× 45 727

Countries citing papers authored by Pooja Goel

Since Specialization
Citations

This map shows the geographic impact of Pooja Goel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pooja Goel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Goel more than expected).

Fields of papers citing papers by Pooja Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pooja Goel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pooja Goel. The network helps show where Pooja Goel may publish in the future.

Co-authorship network of co-authors of Pooja Goel

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Goel. A scholar is included among the top collaborators of Pooja Goel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pooja Goel. Pooja Goel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Goel, Pooja, et al.. (2025). AI’s impact on consumer purchase intent through influencer marketing – A determinant of purchase behaviour in e-commerce. Multidisciplinary Reviews. 8(11). 2025349–2025349. 1 indexed citations
2.
Vimal, K. E. K., Pooja Goel, Nitika Sharma, K. Mathiyazhagan, & Sunil Luthra. (2024). Where there is a will there is a way: A strategy analysis for electric vehicles sales in India. Transportation Research Part E Logistics and Transportation Review. 185. 103506–103506. 7 indexed citations
3.
Goel, Pooja, et al.. (2024). The unfinished order: examining shopping cart abandonment in food delivery apps. Journal of Foodservice Business Research. 29(2). 222–249.
4.
Goel, Pooja & Satyanarayana Parayitam. (2024). Antecedents of behavioral intention and use of shared accommodation: Gender as a moderator. Tourism and hospitality management. 30(1). 105–118. 1 indexed citations
5.
Singh, Rajesh Kumar, et al.. (2024). Exploring participation intentions in metaverse-based retail stores: Implications for commute reduction. Journal of Retailing and Consumer Services. 84. 104177–104177. 4 indexed citations
6.
Kapoor, Deepa, et al.. (2024). E- service quality and customer satisfaction: A bibliometric retrospective and future research agenda. Environment and Social Psychology. 9(8).
7.
Dwivedi, Yogesh K., Anuj Sharma, Nripendra P. Rana, et al.. (2023). Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions. Technological Forecasting and Social Change. 192. 122579–122579. 126 indexed citations breakdown →
8.
9.
Sharma, Nitika, Pooja Goel, Robin Nunkoo, Anuj Sharma, & Nripendra P. Rana. (2023). Food waste avoidance behavior: How different are generation Z travelers?. Journal of Sustainable Tourism. 33(6). 1181–1195. 26 indexed citations
10.
Goel, Pooja, Aalok Kumar, Satyanarayana Parayitam, & Sunil Luthra. (2023). Understanding transport users' preferences for adopting electric vehicle based mobility for sustainable city: A moderated moderated-mediation model. Journal of Transport Geography. 106. 103520–103520. 20 indexed citations
11.
Goel, Pooja, et al.. (2022). Peeping in the minds of MOOCs instructors: using fuzzy approach to understand the motivational factors. Online Information Review. 47(1). 20–40. 9 indexed citations
12.
Goel, Pooja, Nitika Sharma, & Raiswa Saha. (2022). Consumption Behaviour of Poor Consumers: A Bibliometric and Content Analysis. FIIB Business Review. 13(3). 304–317. 5 indexed citations
13.
Goel, Pooja, et al.. (2021). Contagious diseases and tourism: a systematic review based on bibliometric and content analysis methods. Quality & Quantity. 56(5). 3085–3110. 30 indexed citations
14.
Goel, Pooja, Satyanarayana Parayitam, Anuj Sharma, Nripendra P. Rana, & Yogesh K. Dwivedi. (2021). A moderated mediation model for e-impulse buying tendency, customer satisfaction and intention to continue e-shopping. Journal of Business Research. 142. 1–16. 98 indexed citations
15.
Goel, Pooja, et al.. (2020). KNOWLEDGE AND AWARENESS REGARDING INFANT ORAL HEALTH CARE AMONGST ANGANWADI WORKERS UNDER ICDS PROGRAMME IN DISTRICT BARAMULLA, JAMMU AND KASHMIR, INDIA. International Journal of Advanced Research. 8(4). 218–223. 2 indexed citations
17.
Goel, Pooja, et al.. (2019). Willingness to use carsharing apps: an integrated TPB and TAM. International Journal of Indian Culture and Business Management. 19(2). 129–129. 8 indexed citations
18.
Goel, Pooja. (2019). Multigroup Moderation on Customer Service Satisfaction: Case of Online Retailing. 36(4). 30–37. 2 indexed citations
19.
Goel, Pooja. (2018). From e-Quality to e-Loyalty in Online Retailing: SEM Approach. 7(2). 195–195. 1 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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