Pooja Goel
- Marketing top 2%
- Consumer Retail Behavior Studies 8
- Sharing Economy and Platforms 7
- Consumer Behavior in Brand Consumption and Identification 5
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- Technology Adoption and User Behaviour 14
- Health Informatics top 10%
- Automotive Engineering top 10%
- Transportation and Mobility Innovations 6
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- Customer Service Quality and Loyalty 8
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- Digital Marketing and Social Media 7
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- Electric Vehicles and Infrastructure 4
- Co-authors
- Anuj SharmaNripendra P. RanaNitika SharmaYogesh K. DwivediK. E. K. VimalK. MathiyazhaganSatyanarayana ParayitamVincent Dutot
- Journals
- Journal of Cleaner Production (1 paper)Journal of Business Research (1 paper)Molecular Endocrinology (1 paper)
- Partner nations
- IndiaQatarUnited States
In The Last Decade
Pooja Goel
36 papers receiving 760 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Marketing 323
- Information Systems and Management 151
- Health Informatics 20
- Business and International Management 24
- Automotive Engineering 121
Countries citing papers authored by Pooja Goel
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
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
The 25 scholars most cited alongside Pooja Goel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directionsbreakdown → | 2023 | 126 |
| 8 | 2023 | 0 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 20 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 30 | |
| 14 | 2021 | 98 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 12 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2017 | 0 |
About Pooja Goel
Pooja Goel is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 42 papers that have together received 812 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (14 papers), Customer Service Quality and Loyalty (8 papers), Consumer Retail Behavior Studies (8 papers), Digital Marketing and Social Media (7 papers), Sharing Economy and Platforms (7 papers), Transportation and Mobility Innovations (6 papers), Consumer Behavior in Brand Consumption and Identification (5 papers) and Electric Vehicles and Infrastructure (4 papers). The work is most often cited by research in Marketing (323 citations), Information Systems and Management (151 citations) and Health Informatics (20 citations). Pooja Goel has collaborated with scholars based in India, Qatar and United States. Frequent 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. Their work appears in journals such as Journal of Cleaner Production, Journal of Business Research and Molecular Endocrinology.
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.