Ravi Sen

28 papers receiving 984 citations

Peers

Ravi Sen
Comparison fields: 5 of 71
  • Computer Science Applications 361
  • Communication 165
  • Marketing 198
  • Information Systems and Management 142
  • Management Information Systems 164
Replace Andrea Bäck with:
Andrea Bäck Switzerland
Narayan Ramasubbu United States
Jesse Bockstedt United States
Stefan Koch Austria
Karlheinz Kautz Denmark
Kangning Wei China
Matt Germonprez United States
Hind Benbya United States
Matthew Nelson United States
Hannu Kärkkäinen Finland
Ravi Sen relative to Andrea Bäck Switzerland Andrea Bäck's profile →
Citations per field
00.5×2.6×
Andrea Bäck · 1×
Citations per year

Countries citing papers authored by Ravi Sen

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ravi Sen, 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 Ravi Sen Line = papers co-authored together Ravi Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008158
2 2015151
3 2005102
4 200772
5 200472
6 200871
7 200648
8 200648
9 201146
10 200332
11 200925
12 202022
13 202221
14 201818
15 200618
16 201217
17 202116
18 200816
19 201116
20 201915

About Ravi Sen

Ravi Sen is a scholar working on Information Systems, Strategy and Management, Computer Science Applications, Marketing and Management Science and Operations Research, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Platforms and Economics (10 papers), Open Source Software Innovations (10 papers), Information and Cyber Security (6 papers), Consumer Market Behavior and Pricing (6 papers), Auction Theory and Applications (5 papers), Business Process Modeling and Analysis (3 papers), Knowledge Management and Sharing (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Computer Science Applications (361 citations), Communication (165 citations), Marketing (198 citations), Information Systems and Management (142 citations) and Management Information Systems (164 citations). Ravi Sen has collaborated with scholars based in United States and India. Frequent co-authors include Matthew Nelson, Sharad Borle, Chandrasekar Subramaniam, Ruth C. King, Mu Xia, Gregory R. Heim, Michael J. Shaw, Siddhartha Singh, Sean Marston and Qi‐Long Zhu. Their work appears in journals such as Journal of Management Information Systems, Journal of the Association for Information Systems, Decision Support Systems, International Journal of Electronic Commerce and Production and Operations Management.

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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