Veena Tewari
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Information Systems
- Demography
- Artificial Intelligence
- Co-authors
- Krishna KantT. V. RaoMd. Mamun HabibRavishankar K. IyerPaul BurnsTom AndersonSiddharth GargD. Barkai
- Topics
- Peer-to-Peer Network Technologies (3 papers)Distributed and Parallel Computing Systems (3 papers)Caching and Content Delivery (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputerJournal of Open Innovation Technology Market and Complexity
- Partner nations
- United StatesUnited Arab EmiratesMalaysia
In The Last Decade
Veena Tewari
13 papers receiving 204 citations
Peers
Comparison fields: 5 of 74
- Sociology and Political Science 74
- Computer Networks and Communications 63
- Information Systems 42
- Demography 33
- Artificial Intelligence 24
Countries citing papers authored by Veena Tewari
This map shows the geographic impact of Veena Tewari'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 Veena Tewari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veena Tewari more than expected).
Fields of papers citing papers by Veena Tewari
This network shows the impact of papers produced by Veena Tewari. 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 Veena Tewari. The network helps show where Veena Tewari may publish in the future.
Co-authorship network of co-authors of Veena Tewari
This figure shows the co-authorship network connecting the top 25 collaborators of Veena Tewari. A scholar is included among the top collaborators of Veena Tewari 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 Veena Tewari. Veena Tewari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 25 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | A hospital based study on reference range of serum prostate specific antigen levels. | 13 |
| 7 | 78 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 28 | |
| 14 | Peer to Peer Computing: the hype, the hard problems, and the quest for solutions | 1 |
About Veena Tewari
Veena Tewari is a scholar working on Information Systems and Management, Development and Computer Networks and Communications, having authored 14 papers that have together received 228 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Distributed and Parallel Computing Systems (3 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Business and International Management (6 citations), Transportation (19 citations) and Demography (33 citations). Veena Tewari has collaborated with scholars based in United States, United Arab Emirates and Malaysia. Frequent co-authors include Krishna Kant, T. V. Rao, Md. Mamun Habib, Ravishankar K. Iyer, Paul Burns, Tom Anderson, Siddharth Garg, D. Barkai, Mic Bowman and Rob Knauerhase. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer and Journal of Open Innovation Technology Market and Complexity.
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.