Ioannis Rallis
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Information Systems top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Nikolaos DoulamisAnastasios DoulamisIoannis GeorgoulasGeorge KopsiaftisAthanasios VoulodimosEftychios ProtopapadakisNikos TemenosDimitris Kalogeras
- Topics
- Human Motion and Animation (15 papers)Human Pose and Action Recognition (15 papers)Video Analysis and Summarization (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsSustainability
In The Last Decade
Ioannis Rallis
37 papers receiving 468 citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 155
- Artificial Intelligence 115
- Control and Systems Engineering 102
- Information Systems 64
- Experimental and Cognitive Psychology 38
Countries citing papers authored by Ioannis Rallis
This map shows the geographic impact of Ioannis Rallis'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 Rallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Rallis more than expected).
Fields of papers citing papers by Ioannis Rallis
This network shows the impact of papers produced by Ioannis Rallis. 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 Rallis. The network helps show where Ioannis Rallis may publish in the future.
Co-authorship network of co-authors of Ioannis Rallis
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Rallis. A scholar is included among the top collaborators of Ioannis Rallis 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 Rallis. Ioannis Rallis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 33 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 30 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 17 |
About Ioannis Rallis
Ioannis Rallis is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Geology, having authored 43 papers that have together received 486 indexed citations. Recurring topics across this work include Human Motion and Animation (15 papers), Human Pose and Action Recognition (15 papers) and Video Analysis and Summarization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Health Informatics (9 citations) and Human-Computer Interaction (33 citations). Ioannis Rallis has collaborated with scholars based in Greece, Malta and Canada. Frequent co-authors include Nikolaos Doulamis, Anastasios Doulamis, Ioannis Georgoulas, George Kopsiaftis, Athanasios Voulodimos, Eftychios Protopapadakis, Nikos Temenos, Dimitris Kalogeras, Anastasios Doulamis and Maria Kaselimi. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Sustainability.
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.