Sumit Sircar

715 citations
23 papers · 533 · h-index 10

Impact in

Papers in

Sumit Sircar

23 papers receiving 446 citations

Peers

Sumit Sircar
Comparison fields: 5 of 82
  • Management Information Systems 207
  • Information Systems and Management 95
  • Strategy and Management 159
  • Management Science and Operations Research 59
  • Management of Technology and Innovation 30
Replace Michael S.H. Heng with:
Michael S.H. Heng Australia
Mihir A. Parikh United States
Nikolaos Mylonopoulos Greece
Matt E. Thatcher United States
Ellen M. Hufnagel United States
D.H. Drury Canada
Yen Cheung Australia
Simha R. Magal United States
King United States
Yvonne van Everdingen Netherlands
Sumit Sircar relative to Michael S.H. Heng Australia Michael S.H. Heng's profile →
Citations per field
00.5×1.5×1.8×
Michael S.H. Heng · 1×
Citations per year

Countries citing papers authored by Sumit Sircar

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Sircar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Sumit Sircar, 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 Sumit Sircar Line = papers co-authored together Sumit Sircar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000201
2 200194
3 198448
4 200636
5 200831
6 200929
7 200922
8 198611
9 200711
10 199210
11 19989
12
Chargeout of information systems services
19865
13 19865
14 19944
15 19834
16 19863
17
An Assessment of Electronic Portfolios across the Curriculum.
20092
18 19982
19 19782
20 19981

About Sumit Sircar

Sumit Sircar is a scholar working on Information Systems, Computer Networks and Communications, Management Information Systems, Information Systems and Management and Management Science and Operations Research, having authored 23 papers that have together received 533 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (5 papers), Software Engineering Research (3 papers), Technology Adoption and User Behaviour (3 papers), Software Engineering Techniques and Practices (2 papers), Software System Performance and Reliability (2 papers), Advanced Database Systems and Queries (2 papers), Management and Marketing Education (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Management Information Systems (207 citations), Information Systems and Management (95 citations), Strategy and Management (159 citations), Management Science and Operations Research (59 citations) and Management of Technology and Innovation (30 citations). Sumit Sircar has collaborated with scholars based in United States and Singapore. Frequent co-authors include Bijoy Bordoloi, Jung‐Hye Choi, Sridhar Nerur, RadhaKanta Mahapatra, Roger Dickinson, Charles Ferguson, Dinesh S. Davé, Lawrence L. Schkade, Frederick H. deB. Harris and Heidi A. McKee. Their work appears in journals such as Information & Management, International Journal of Operations & Production Management, Journal of Database Management, Computers & Education and MIS Quarterly.

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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