S. Kumaran
Impact in
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- Business Process Modeling and Analysis
- Information Technology Governance and Strategy
- Information Systems top 2%
- Service-Oriented Architecture and Web Services
Papers in
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- Service-Oriented Architecture and Web Services 17
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- Business Process Modeling and Analysis 13
- Co-authors
- Fangyu Wu (3 shared papers)Jana Koehler (2 shared papers)Kamal Bhattacharya (2 shared papers)Anil Nigam (2 shared papers)J.E. Hanson (1 shared paper)N. Caswell (1 shared paper)Carolyn McGregor (2 shared papers)Ying Huang (3 shared papers)
- Journals
- IBM Systems Journal (6 papers)UTS ePRESS (University of Technology Sydney) (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
S. Kumaran
24 papers receiving 389 citations
Peers
Comparison fields: 5 of 40
- Management Information Systems 304
- Information Systems 329
- Software 29
- Artificial Intelligence 195
- Computer Networks and Communications 121
Countries citing papers authored by S. Kumaran
This map shows the geographic impact of S. Kumaran'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 S. Kumaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kumaran more than expected).
Fields of papers citing papers by S. Kumaran
This network shows the impact of papers produced by S. Kumaran. 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 S. Kumaran. The network helps show where S. Kumaran may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Kumaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 73 | |
| 2 | 2003 | 50 | |
| 3 | 2003 | 48 | |
| 4 | 2005 | 39 | |
| 5 | 2008 | 29 | |
| 6 | 2007 | 29 | |
| 7 | 2003 | 26 | |
| 8 | 2004 | 26 | |
| 9 | 2002 | 17 | |
| 10 | 2002 | 12 | |
| 11 | 2002 | 12 | |
| 12 | 2003 | 11 | |
| 13 | 2004 | 11 | |
| 14 | 2003 | 11 | |
| 15 | 2002 | 11 | |
| 16 | 2007 | 8 | |
| 17 | 2004 | 7 | |
| 18 | 2004 | 5 | |
| 19 | 1995 | 4 | |
| 20 | 2024 | 2 |
About S. Kumaran
S. Kumaran is a scholar working on Information Systems, Management Information Systems, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 24 papers that have together received 436 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (17 papers), Business Process Modeling and Analysis (13 papers), Advanced Software Engineering Methodologies (9 papers), Software System Performance and Reliability (5 papers), Mobile Agent-Based Network Management (3 papers), Advanced Database Systems and Queries (2 papers), Software Engineering and Design Patterns (2 papers) and Petri Nets in System Modeling (1 paper). The work is most often cited by research in Management Information Systems (304 citations), Information Systems (329 citations), Software (29 citations), Artificial Intelligence (195 citations) and Computer Networks and Communications (121 citations). S. Kumaran has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Fangyu Wu, Jana Koehler, Kamal Bhattacharya, Anil Nigam, J.E. Hanson, N. Caswell, Carolyn McGregor, Ying Huang, R. Das and J.K. Strosnider. Their work appears in journals such as IBM Systems Journal and UTS ePRESS (University of Technology Sydney).
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.