Vasilis Verroios
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Héctor García-MolinaAlex DelisAditya ParameswaranManas JoglekarAdam MarcusMema RoussopoulosMichael S. BernsteinYannis Papakonstantinou
- Topics
- Privacy-Preserving Technologies in Data (4 papers)Mobile Crowdsensing and Crowdsourcing (4 papers)Vehicular Ad Hoc Networks (VANETs) (3 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Parallel and Distributed SystemsProceedings of the AAAI Conference on Human Computation and Crowdsourcing
- Partner nations
- United StatesGreeceSpain
In The Last Decade
Vasilis Verroios
13 papers receiving 329 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 122
- Computer Science Applications 117
- Information Systems 102
- Computer Networks and Communications 89
- Management Science and Operations Research 79
Countries citing papers authored by Vasilis Verroios
This map shows the geographic impact of Vasilis Verroios'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 Vasilis Verroios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasilis Verroios more than expected).
Fields of papers citing papers by Vasilis Verroios
This network shows the impact of papers produced by Vasilis Verroios. 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 Vasilis Verroios. The network helps show where Vasilis Verroios may publish in the future.
Co-authorship network of co-authors of Vasilis Verroios
This figure shows the co-authorship network connecting the top 25 collaborators of Vasilis Verroios. A scholar is included among the top collaborators of Vasilis Verroios 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 Vasilis Verroios. Vasilis Verroios is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 27 | |
| 3 | 49 | |
| 4 | 93 | |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 58 | |
| 13 | 13 |
About Vasilis Verroios
Vasilis Verroios is a scholar working on Computer Science Applications, Transportation and Management Science and Operations Research, having authored 13 papers that have together received 341 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Vehicular Ad Hoc Networks (VANETs) (3 papers). The work is most often cited by research in Computer Science Applications (117 citations), Management Science and Operations Research (79 citations) and Transportation (31 citations). Vasilis Verroios has collaborated with scholars based in United States, Greece and Spain. Frequent co-authors include Héctor García-Molina, Alex Delis, Aditya Parameswaran, Manas Joglekar, Adam Marcus, Mema Roussopoulos, Michael S. Bernstein, Yannis Papakonstantinou, Peter Lofgren and Konstantinos Kollias. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Parallel and Distributed Systems and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.
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.