Ioannis Boutsis
- Computer Science Applications top 1%
- Transportation top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Vana KalogerakiDimitrios GunopulosMatthias WeidlichKatharina MorikChristian BockermannAvigdor GalShie MannorJakub Mareček
- Topics
- Human Mobility and Location-Based Analysis (20 papers)Mobile Crowdsensing and Crowdsourcing (16 papers)Data Stream Mining Techniques (5 papers)
- Journals
- Information SystemsInternational Conference on Machine LearningProceedings of the AAAI Conference on Human Computation and Crowdsourcing
- Partner nations
- GreeceUnited StatesIsrael
In The Last Decade
Ioannis Boutsis
31 papers receiving 386 citations
Peers
Comparison fields: 5 of 41
- Computer Science Applications 217
- Transportation 145
- Artificial Intelligence 139
- Computer Networks and Communications 101
- Information Systems 80
Countries citing papers authored by Ioannis Boutsis
This map shows the geographic impact of Ioannis Boutsis'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 Ioannis Boutsis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Boutsis more than expected).
Fields of papers citing papers by Ioannis Boutsis
This network shows the impact of papers produced by Ioannis Boutsis. 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 Ioannis Boutsis. The network helps show where Ioannis Boutsis may publish in the future.
Co-authorship network of co-authors of Ioannis Boutsis
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Boutsis. A scholar is included among the top collaborators of Ioannis Boutsis 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 Ioannis Boutsis. Ioannis Boutsis 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 | 3 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | Towards detection of faulty traffic sensors in real-time | 12 |
| 8 | 8 | |
| 9 | 3 | |
| 10 | Efficient Dissemination of Emergency Information using a Social Network | 4 |
| 11 | 7 | |
| 12 | 56 | |
| 13 | 63 | |
| 14 | 5 | |
| 15 | 68 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | Combined Content based and Semantic Image Retrieval. | 1 |
About Ioannis Boutsis
Ioannis Boutsis is a scholar working on Transportation, Computer Science Applications and Computational Mathematics, having authored 32 papers that have together received 393 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (20 papers), Mobile Crowdsensing and Crowdsourcing (16 papers) and Data Stream Mining Techniques (5 papers). The work is most often cited by research in Computer Science Applications (217 citations), Transportation (145 citations) and Computational Mathematics (5 citations). Ioannis Boutsis has collaborated with scholars based in Greece, United States and Israel. Frequent co-authors include Vana Kalogeraki, Dimitrios Gunopulos, Matthias Weidlich, Katharina Morik, Christian Bockermann, Avigdor Gal, Shie Mannor, Jakub Mareček, Alexander Artikis and Thomas Liebig. Their work appears in journals such as Information Systems, International Conference on Machine Learning 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.