Visara Urovi
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Management Information Systems top 10%
- Co-authors
- Stefano BromuriAlexander P. HenkelDeniz İrenMichel DumontierFadila ZerkaRalph T. H. LeijenaarAkshayaa VaidyanathanPhilippe Lambin
- Topics
- Blockchain Technology Applications and Security (7 papers)Privacy-Preserving Technologies in Data (6 papers)Multi-Agent Systems and Negotiation (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- NetherlandsUnited KingdomSwitzerland
In The Last Decade
Visara Urovi
25 papers receiving 356 citations
Peers
Comparison fields: 5 of 82
- Information Systems 168
- Artificial Intelligence 163
- Computer Networks and Communications 76
- Sociology and Political Science 67
- Management Information Systems 36
Countries citing papers authored by Visara Urovi
This map shows the geographic impact of Visara Urovi'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 Visara Urovi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Visara Urovi more than expected).
Fields of papers citing papers by Visara Urovi
This network shows the impact of papers produced by Visara Urovi. 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 Visara Urovi. The network helps show where Visara Urovi may publish in the future.
Co-authorship network of co-authors of Visara Urovi
This figure shows the co-authorship network connecting the top 25 collaborators of Visara Urovi. A scholar is included among the top collaborators of Visara Urovi 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 Visara Urovi. Visara Urovi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 61 | |
| 13 | 92 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | Towards runtime support for norm-governed multi-agent systems | 2 |
| 19 | 4 | |
| 20 | 11 |
About Visara Urovi
Visara Urovi is a scholar working on Health Informatics, Information Systems and Management and Computer Networks and Communications, having authored 26 papers that have together received 380 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Multi-Agent Systems and Negotiation (5 papers). The work is most often cited by research in Health Informatics (35 citations), Information Systems (168 citations) and Artificial Intelligence (163 citations). Visara Urovi has collaborated with scholars based in Netherlands, United Kingdom and Switzerland. Frequent co-authors include Stefano Bromuri, Alexander P. Henkel, Deniz İren, Michel Dumontier, Fadila Zerka, Ralph T. H. Leijenaar, Akshayaa Vaidyanathan, Philippe Lambin, Henry C. Woodruff and Seán Walsh. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.