Arvind Sathi
Impact in
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- Business Process Modeling and Analysis
- Big Data and Business Intelligence
Papers in
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- Big Data and Business Intelligence 3
- Business Process Modeling and Analysis 2
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- Auction Theory and Applications 1
- Co-authors
- Mark S. Fox (3 shared papers)Robert J. Meyer (1 shared paper)Michael Greenberg (1 shared paper)Steven F. Roth (2 shared papers)Thomas E. Morton (2 shared papers)
- Journals
- Marketing Science (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Computer Supported Cooperative Work (CSCW) (1 paper)AI Magazine (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Arvind Sathi
16 papers receiving 407 citations
Peers
Comparison fields: 5 of 64
- Management Information Systems 133
- Management Science and Operations Research 108
- General Decision Sciences 14
- Marketing 59
- Artificial Intelligence 222
Countries citing papers authored by Arvind Sathi
This map shows the geographic impact of Arvind Sathi'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 Arvind Sathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Sathi more than expected).
Fields of papers citing papers by Arvind Sathi
This network shows the impact of papers produced by Arvind Sathi. 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 Arvind Sathi. The network helps show where Arvind Sathi may publish in the future.
Co-authors
The 5 scholars most cited alongside Arvind Sathi, 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 | 1989 | 99 | |
| 2 | 1985 | 98 | |
| 3 | 1986 | 93 | |
| 4 | Big Data Analytics: Disruptive Technologies for Changing the Game | 2012 | 78 |
| 5 | 1985 | 65 | |
| 6 | 2016 | 9 | |
| 7 | 2014 | 7 | |
| 8 | 2014 | 4 | |
| 9 | Issues in knowledge representation for project management | 1984 | 3 |
| 10 | 2016 | 3 | |
| 11 | Callisto: an intelligent project management system (Reprint) | 1988 | 2 |
| 12 | 2014 | 1 | |
| 13 | 2016 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2014 | 1 | |
| 16 | Callisto: an intelligence project management system | 1988 | 1 |
| 17 | 2016 | 0 | |
| 18 | 2021 | 0 |
About Arvind Sathi
Arvind Sathi is a scholar working on Management Information Systems, Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications and Marketing, having authored 18 papers that have together received 466 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (3 papers), Big Data and Business Intelligence (3 papers), Multi-Agent Systems and Negotiation (2 papers), Constraint Satisfaction and Optimization (2 papers), Business Process Modeling and Analysis (2 papers), Competitive and Knowledge Intelligence (1 paper), Consumer Market Behavior and Pricing (1 paper) and Auction Theory and Applications (1 paper). The work is most often cited by research in Management Information Systems (133 citations), Management Science and Operations Research (108 citations), General Decision Sciences (14 citations), Marketing (59 citations) and Artificial Intelligence (222 citations). Arvind Sathi has collaborated with scholars based in United States. Frequent co-authors include Mark S. Fox, Robert J. Meyer, Michael Greenberg, Steven F. Roth and Thomas E. Morton. Their work appears in journals such as Marketing Science, IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Supported Cooperative Work (CSCW), AI Magazine and Elsevier eBooks.
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.