Sree Nilakanta
- Strategy and Management top 1%
- Information Systems and Management top 0.5%
- Management Information Systems top 1%
- Sociology and Political Science top 5%
- Marketing top 5%
- Co-authors
- Ashok SubramanianK. RamamurthyG. PremkumarRichard W. ScamellWesley J. JohnstonKevin P. ScheibeL. L. MillerDan Zhu
- Topics
- Advanced Database Systems and Queries (8 papers)Semantic Web and Ontologies (8 papers)Business Process Modeling and Analysis (5 papers)
- Partner nations
- United StatesLatviaTaiwan
In The Last Decade
Sree Nilakanta
37 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Strategy and Management 813
- Information Systems and Management 544
- Management Information Systems 427
- Sociology and Political Science 317
- Marketing 238
Countries citing papers authored by Sree Nilakanta
This map shows the geographic impact of Sree Nilakanta'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 Sree Nilakanta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sree Nilakanta more than expected).
Fields of papers citing papers by Sree Nilakanta
This network shows the impact of papers produced by Sree Nilakanta. 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 Sree Nilakanta. The network helps show where Sree Nilakanta may publish in the future.
Co-authorship network of co-authors of Sree Nilakanta
This figure shows the co-authorship network connecting the top 25 collaborators of Sree Nilakanta. A scholar is included among the top collaborators of Sree Nilakanta 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 Sree Nilakanta. Sree Nilakanta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | The economic impact of public beta testing: the power of word-of-mouth | 4 |
| 3 | 34R. Impact of Technology on Diabetes Self-Care Management | 0 |
| 4 | 5 | |
| 5 | Supporting Knowledge Management Within Process and Group Settings Using Visual Topic Maps. | 2 |
| 6 | 3 | |
| 7 | 36 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | The impact of interorganizational relationships on the adoption and diffusion of interorganizational systems | 4 |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 1 |
About Sree Nilakanta
Sree Nilakanta is a scholar working on Management Information Systems, Information Systems and Management and Computer Science Applications, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Semantic Web and Ontologies (8 papers) and Business Process Modeling and Analysis (5 papers). The work is most often cited by research in Information Systems and Management (544 citations), Strategy and Management (813 citations) and Management Information Systems (427 citations). Sree Nilakanta has collaborated with scholars based in United States, Latvia and Taiwan. Frequent co-authors include Ashok Subramanian, K. Ramamurthy, G. Premkumar, Richard W. Scamell, Wesley J. Johnston, Kevin P. Scheibe, L. L. Miller, Dan Zhu, Anil Rai and Longwen Wu. Their work appears in journals such as Management Science, Information & Management and Journal of Management Information Systems.
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.