Vishesh Karwa
- Artificial Intelligence top 10%
- Sociology and Political Science
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality top 10%
- Computer Science Applications top 10%
- Co-authors
- Sofya RaskhodnikovaGrigory YaroslavtsevAdam SmithEric T. DonnellAleksandra SlavkovićRamaswamy C. AnantheswaranJohn D. FlorosLekshmi Sasidharan
- Topics
- Cryptography and Data Security (4 papers)Privacy-Preserving Technologies in Data (4 papers)Infrastructure Maintenance and Monitoring (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Royal Statistical Society Series B (Statistical Methodology)Journal of Applied Microbiology
- Partner nations
- United StatesSweden
In The Last Decade
Vishesh Karwa
15 papers receiving 296 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 179
- Sociology and Political Science 79
- Civil and Structural Engineering 55
- Safety, Risk, Reliability and Quality 41
- Computer Science Applications 38
Countries citing papers authored by Vishesh Karwa
This map shows the geographic impact of Vishesh Karwa'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 Vishesh Karwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishesh Karwa more than expected).
Fields of papers citing papers by Vishesh Karwa
This network shows the impact of papers produced by Vishesh Karwa. 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 Vishesh Karwa. The network helps show where Vishesh Karwa may publish in the future.
Co-authorship network of co-authors of Vishesh Karwa
This figure shows the co-authorship network connecting the top 25 collaborators of Vishesh Karwa. A scholar is included among the top collaborators of Vishesh Karwa 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 Vishesh Karwa. Vishesh Karwa 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 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 49 | |
| 7 | 5 | |
| 8 | Differentially Private Synthetic graphs | 1 |
| 9 | 27 | |
| 10 | 33 | |
| 11 | 117 | |
| 12 | 27 | |
| 13 | 18 | |
| 14 | SAFETY EFFECTS OF PAVEMENT MARKING RETROREFLECTIVITY:AN APPLICATION OF CAUSAL BAYESIAN NETWORKS | 1 |
| 15 | 11 |
About Vishesh Karwa
Vishesh Karwa is a scholar working on Computational Mathematics, Statistics and Probability and Computational Theory and Mathematics, having authored 15 papers that have together received 307 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Infrastructure Maintenance and Monitoring (3 papers). The work is most often cited by research in Computer Science Applications (38 citations), Artificial Intelligence (179 citations) and Safety, Risk, Reliability and Quality (41 citations). Vishesh Karwa has collaborated with scholars based in United States and Sweden. Frequent co-authors include Sofya Raskhodnikova, Grigory Yaroslavtsev, Adam Smith, Eric T. Donnell, Aleksandra Slavković, Ramaswamy C. Anantheswaran, John D. Floros, Lekshmi Sasidharan, Sonja Petrović and Rebecca C. Steorts. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Applied Microbiology.
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.