Sumantra Sarkar
- Information Systems top 10%
- Management Information Systems top 5%
- Strategy and Management top 10%
- Computational Mechanics top 10%
- Materials Chemistry
- Co-authors
- Balasubramaniam RameshKannan MohanLan CaoBulbul ChakrabortyRobert BehringerJie ZhangDapeng BiDaniel Wu
- Topics
- Granular flow and fluidized beds (4 papers)Material Dynamics and Properties (4 papers)Big Data and Business Intelligence (3 papers)
- Cited by
- Management Information SystemsManagement of Technology and InnovationInformation Systems and Management
- Partner nations
- United StatesIndiaChina
In The Last Decade
Sumantra Sarkar
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 77
- Information Systems 96
- Management Information Systems 95
- Strategy and Management 65
- Computational Mechanics 65
- Materials Chemistry 58
Countries citing papers authored by Sumantra Sarkar
This map shows the geographic impact of Sumantra Sarkar'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 Sumantra Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumantra Sarkar more than expected).
Fields of papers citing papers by Sumantra Sarkar
This network shows the impact of papers produced by Sumantra Sarkar. 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 Sumantra Sarkar. The network helps show where Sumantra Sarkar may publish in the future.
Co-authorship network of co-authors of Sumantra Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Sumantra Sarkar. A scholar is included among the top collaborators of Sumantra Sarkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sumantra Sarkar. Sumantra Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 51 | |
| 9 | 13 | |
| 10 | 37 | |
| 11 | 23 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 36 | |
| 15 | 64 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 8 | |
| 19 | Examination of the Post-Implementation Role of Competency Centers in ERP and BI : An International/Cross Cultural Investigation | 2 |
| 20 | 20 |
About Sumantra Sarkar
Sumantra Sarkar is a scholar working on Management Information Systems, Health Informatics and Information Systems and Management, having authored 25 papers that have together received 378 indexed citations. Recurring topics across this work include Granular flow and fluidized beds (4 papers), Material Dynamics and Properties (4 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Management Information Systems (95 citations), Management of Technology and Innovation (32 citations) and Information Systems and Management (31 citations). Sumantra Sarkar has collaborated with scholars based in United States, India and China. Frequent co-authors include Balasubramaniam Ramesh, Kannan Mohan, Lan Cao, Bulbul Chakraborty, Robert Behringer, Jie Zhang, Dapeng Bi, Daniel Wu, Anthony Vance and D. V. Khakhar. Their work appears in journals such as Physical Review Letters, Journal of Business Research and Information Systems 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.