Visara Urovi

721 total citations
26 papers, 380 citations indexed

About

Visara Urovi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Visara Urovi has authored 26 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in Visara Urovi's work include Blockchain Technology Applications and Security (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Multi-Agent Systems and Negotiation (5 papers). Visara Urovi is often cited by papers focused on Blockchain Technology Applications and Security (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Multi-Agent Systems and Negotiation (5 papers). Visara Urovi collaborates with scholars based in Netherlands, United Kingdom and Switzerland. Visara Urovi's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Visara Urovi

25 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Visara Urovi Netherlands 9 168 163 76 67 36 26 380
Sujit Gujar India 9 101 0.6× 157 1.0× 92 1.2× 29 0.4× 32 0.9× 48 440
Wolfgang Greller Austria 10 150 0.9× 164 1.0× 67 0.9× 43 0.6× 37 1.0× 25 875
Sardar Jaf United Kingdom 6 111 0.7× 248 1.5× 85 1.1× 37 0.6× 13 0.4× 17 433
Konstantinos I. Roumeliotis Greece 9 91 0.5× 244 1.5× 24 0.3× 52 0.8× 33 0.9× 22 552
Ehsan Toreini United Kingdom 11 154 0.9× 130 0.8× 42 0.6× 107 1.6× 15 0.4× 31 349
Valentin Kuleto Serbia 7 153 0.9× 120 0.7× 27 0.4× 22 0.3× 28 0.8× 19 497
Fakhroddin Noorbehbahani Iran 10 77 0.5× 136 0.8× 83 1.1× 38 0.6× 6 0.2× 21 355
Abejide Ade-Ibijola South Africa 9 152 0.9× 430 2.6× 22 0.3× 40 0.6× 29 0.8× 35 655
Hui Na Chua Malaysia 12 145 0.9× 168 1.0× 31 0.4× 159 2.4× 14 0.4× 58 452
Naurin Farooq Khan Pakistan 9 103 0.6× 148 0.9× 29 0.4× 82 1.2× 10 0.3× 16 375

Countries citing papers authored by Visara Urovi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lohachab, Ankur, et al.. (2025). Privacy preservation in blockchain-based healthcare data sharing: A systematic review. Peer-to-Peer Networking and Applications. 18(6). 302–302. 2 indexed citations
2.
Franssen, Frits M.E., et al.. (2025). Developing a multi-feature fusion model for exacerbation classification in asthma and COPD. Computer Methods and Programs in Biomedicine. 268. 108796–108796. 2 indexed citations
3.
Simons, Sami O., et al.. (2024). Optimizing MFCC parameters for the automatic detection of respiratory diseases. Applied Acoustics. 228. 110299–110299. 4 indexed citations
4.
Simons, Sami O., et al.. (2024). Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data. SHILAP Revista de lepidopterología. 202–217. 2 indexed citations
5.
Urovi, Visara, et al.. (2024). Do you need a blockchain in healthcare data sharing? A tertiary review. SHILAP Revista de lepidopterología. 101–123. 4 indexed citations
6.
Urovi, Visara, et al.. (2024). TAPS Responsibility matrix: a tool for responsible data science by design. Journal of Responsible Innovation. 11(1). 1–32. 1 indexed citations
7.
Urovi, Visara, et al.. (2023). User acceptability of blockchain technology for enabling electronic health record exchange. Journal of Systems and Information Technology. 25(3). 268–295. 5 indexed citations
8.
Goanță, Cătălina, et al.. (2022). Web monetisation. Internet Policy Review. 11(1). 1 indexed citations
9.
Urovi, Visara, et al.. (2022). User incentives for blockchain-based data sharing platforms. PLoS ONE. 17(4). e0266624–e0266624. 23 indexed citations
10.
Zerka, Fadila, Visara Urovi, Fabio Bottari, et al.. (2021). Privacy preserving distributed learning classifiers – Sequential learning with small sets of data. Computers in Biology and Medicine. 136. 104716–104716. 15 indexed citations
11.
Bromuri, Stefano, Alexander P. Henkel, Deniz İren, & Visara Urovi. (2020). Using AI to predict service agent stress from emotion patterns in service interactions. Journal of service management. 32(4). 581–611. 24 indexed citations
12.
Zerka, Fadila, Visara Urovi, Akshayaa Vaidyanathan, et al.. (2020). Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM). IEEE Access. 8. 183939–183951. 61 indexed citations
13.
Urovi, Visara, et al.. (2020). A Consent Model for Blockchain-Based Health Data Sharing Platforms. IEEE Access. 8. 143734–143745. 92 indexed citations
14.
Urovi, Visara, et al.. (2016). COMPOSE: Using temporal patterns for interpreting wearable sensor data with computer interpretable guidelines. Computers in Biology and Medicine. 81. 24–31. 4 indexed citations
15.
Dubovitskaya, Alevtina, et al.. (2016). A Multiagent System for Dynamic Data Aggregation in Medical Research. BioMed Research International. 2016. 1–12. 10 indexed citations
16.
Urovi, Visara, et al.. (2014). Secure P2P Cross-Community Health Record Exchange in IHE Compatible Systems. International Journal of Artificial Intelligence Tools. 23(1). 1440006–1440006. 5 indexed citations
17.
Urovi, Visara, et al.. (2013). A peer to peer agent coordination framework for IHE based cross-community health record exchange. Research Publications (Maastricht University). 1355–1362. 4 indexed citations
18.
Urovi, Visara, Stefano Bromuri, Kostas Stathis, & Alexander Artikis. (2010). Towards runtime support for norm-governed multi-agent systems. Principles of Knowledge Representation and Reasoning. 596–598. 2 indexed citations
19.
Bromuri, Stefano, Visara Urovi, & Kostas Stathis. (2010). iCampus. International Journal of Ambient Computing and Intelligence. 2(1). 59–65. 4 indexed citations
20.
Bromuri, Stefano, et al.. (2009). A multi-agent system for service discovery, selection and negotiation. Research Publications (Maastricht University). 1395–1396. 11 indexed citations

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.

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