Pooja Sengupta

405 citations
21 papers · 254 · h-index 8

Impact in

  • Marketing top 10%
    • Sharing Economy and Platforms
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies
    • Technology Adoption and User Behaviour

Papers in

Pooja Sengupta

15 papers receiving 246 citations

Peers

Pooja Sengupta
Comparison fields: 5 of 66
  • Marketing 84
  • Information Systems and Management 33
  • Sociology and Political Science 124
  • Organizational Behavior and Human Resource Management 23
  • Business and International Management 4
Replace Grzegorz Leszczyński with:
Grzegorz Leszczyński Poland
Xicheng Yin China
Miriam Scaglione Switzerland
Wencui Han United States
Andreas Strebinger Austria
Ihsan Ullah Jan South Korea
Dewan Mehrab Ashrafi Bangladesh
Siqi Wang China
Natalie Haynes United Kingdom
Nahida Sultana Bangladesh
Pooja Sengupta relative to Grzegorz Leszczyński Poland Grzegorz Leszczyński's profile →
Citations per field
00.5×2.7×
Grzegorz Leszczyński · 1×
Citations per year

Countries citing papers authored by Pooja Sengupta

Since Specialization
Citations

This map shows the geographic impact of Pooja Sengupta'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 Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Sengupta more than expected).

Fields of papers citing papers by Pooja Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pooja Sengupta. 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 Sengupta. The network helps show where Pooja Sengupta may publish in the future.

Co-authors

The 18 scholars most cited alongside Pooja Sengupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pooja Sengupta Line = papers co-authored together Pooja Sengupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 201837
3 202235
4 202130
5 202128
6 202415
7 202111
8 20219
9 20247
10 20246
11 20246
12 20156
13 20255
14 20235
15 20172
16 20250
17 20240
18 20260
19 20250
20 20250

About Pooja Sengupta

Pooja Sengupta is a scholar working on Sociology and Political Science, Information Systems and Management, Artificial Intelligence, Marketing and Automotive Engineering, having authored 21 papers that have together received 254 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Technology Adoption and User Behaviour (5 papers), Transportation and Mobility Innovations (3 papers), Statistical Methods and Bayesian Inference (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Sharing Economy and Platforms (2 papers), Consumer Behavior in Brand Consumption and Identification (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Marketing (84 citations), Information Systems and Management (33 citations), Sociology and Political Science (124 citations), Organizational Behavior and Human Resource Management (23 citations) and Business and International Management (4 citations). Pooja Sengupta has collaborated with scholars based in India, Ireland and New Zealand. Frequent co-authors include Baidyanath Biswas, Boudhayan Ganguly, Ajay Kumar, Shivam Gupta, Dursun Delen, Ravi Shankar, Bhaswati Ganguli, Roy T. Sabo, Divya Aggarwal and Asil Oztekin. Their work appears in journals such as Journal of Retailing and Consumer Services, Journal of Business Research, Decision Support Systems, Journal of Statistical Computation and Simulation and Annals of Operations Research.

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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