Konstantinos Papoutsakis
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Demography top 10%
- Co-authors
- Antonis ArgyrosPeter EinramhofDavid FischingerPeter MayerWalter WohlkingerMarkus VinczeAstrid WeissPaul Panek
- Topics
- Human Pose and Action Recognition (6 papers)Multimodal Machine Learning Applications (4 papers)Video Analysis and Summarization (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- GreeceMontenegroGermany
In The Last Decade
Konstantinos Papoutsakis
17 papers receiving 320 citations
Peers
Comparison fields: 5 of 72
- Social Psychology 138
- Computer Vision and Pattern Recognition 135
- Artificial Intelligence 110
- Control and Systems Engineering 61
- Demography 59
Countries citing papers authored by Konstantinos Papoutsakis
This map shows the geographic impact of Konstantinos Papoutsakis'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 Konstantinos Papoutsakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantinos Papoutsakis more than expected).
Fields of papers citing papers by Konstantinos Papoutsakis
This network shows the impact of papers produced by Konstantinos Papoutsakis. 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 Konstantinos Papoutsakis. The network helps show where Konstantinos Papoutsakis may publish in the future.
Co-authorship network of co-authors of Konstantinos Papoutsakis
This figure shows the co-authorship network connecting the top 25 collaborators of Konstantinos Papoutsakis. A scholar is included among the top collaborators of Konstantinos Papoutsakis 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 Konstantinos Papoutsakis. Konstantinos Papoutsakis 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 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | Unsupervised and Explainable Assessment of Video Similarity. | 2 |
| 12 | 18 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 242 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 3 |
About Konstantinos Papoutsakis
Konstantinos Papoutsakis is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Artificial Intelligence, having authored 19 papers that have together received 330 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (4 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Human-Computer Interaction (42 citations), Social Psychology (138 citations) and Computer Vision and Pattern Recognition (135 citations). Konstantinos Papoutsakis has collaborated with scholars based in Greece, Montenegro and Germany. Frequent co-authors include Antonis Argyros, Peter Einramhof, David Fischinger, Peter Mayer, Walter Wohlkinger, Markus Vincze, Astrid Weiss, Paul Panek, Stefan G. Hofmann and Costas Panagiotakis. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.
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.