Γεώργιος Σκούμας
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence
- Sociology and Political Science
- Experimental and Cognitive Psychology
- Co-authors
- Yannis AvrithisPetros MaragosKonstantinos RapantzikosGeorgios EvangelopoulosAthanasia ZlatintsiAlexandros PotamianosDieter PfoserAnastasios Kyrillidis
- Topics
- Data Management and Algorithms (6 papers)Geographic Information Systems Studies (5 papers)Human Mobility and Location-Based Analysis (3 papers)
- Journals
- IEEE Transactions on MultimediaGeoInformaticaACM Transactions on Spatial Algorithms and Systems
- Partner nations
- GreeceUnited StatesCanada
In The Last Decade
Γεώργιος Σκούμας
8 papers receiving 272 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 184
- Signal Processing 105
- Artificial Intelligence 76
- Sociology and Political Science 30
- Experimental and Cognitive Psychology 24
Countries citing papers authored by Γεώργιος Σκούμας
This map shows the geographic impact of Γεώργιος Σκούμας'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 Γεώργιος Σκούμας with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Γεώργιος Σκούμας more than expected).
Fields of papers citing papers by Γεώργιος Σκούμας
This network shows the impact of papers produced by Γεώργιος Σκούμας. 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 Γεώργιος Σκούμας. The network helps show where Γεώργιος Σκούμας may publish in the future.
Co-authorship network of co-authors of Γεώργιος Σκούμας
This figure shows the co-authorship network connecting the top 25 collaborators of Γεώργιος Σκούμας. A scholar is included among the top collaborators of Γεώργιος Σκούμας 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 Γεώργιος Σκούμας. Γεώργιος Σκούμας is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 191 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 47 |
About Γεώργιος Σκούμας
Γεώργιος Σκούμας is a scholar working on Geography, Planning and Development, Signal Processing and Transportation, having authored 8 papers that have together received 280 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Geographic Information Systems Studies (5 papers) and Human Mobility and Location-Based Analysis (3 papers). The work is most often cited by research in Signal Processing (105 citations), Computer Vision and Pattern Recognition (184 citations) and Sensory Systems (23 citations). Γεώργιος Σκούμας has collaborated with scholars based in Greece, United States and Canada. Frequent co-authors include Yannis Avrithis, Petros Maragos, Konstantinos Rapantzikos, Georgios Evangelopoulos, Athanasia Zlatintsi, Alexandros Potamianos, Dieter Pfoser, Anastasios Kyrillidis, Timos Sellis and Matthias Renz. Their work appears in journals such as IEEE Transactions on Multimedia, GeoInformatica and ACM Transactions on Spatial Algorithms and Systems.
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.