Fadime Şener
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 10%
- Control and Systems Engineering
- Biomedical Engineering
- Co-authors
- Angela YaoKun HeNazlı İkizler-CinbişDipika SinghaniaRobert WangCem KeskinTomáš HodaňLuan Tran
- Topics
- Human Pose and Action Recognition (10 papers)Multimodal Machine Learning Applications (6 papers)Video Analysis and Summarization (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceImage and Vision ComputingComputer Vision and Image Understanding
- Partner nations
- GermanySingaporeUnited States
In The Last Decade
Fadime Şener
13 papers receiving 269 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 233
- Artificial Intelligence 119
- Human-Computer Interaction 40
- Control and Systems Engineering 39
- Biomedical Engineering 24
Countries citing papers authored by Fadime Şener
This map shows the geographic impact of Fadime Şener'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 Fadime Şener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadime Şener more than expected).
Fields of papers citing papers by Fadime Şener
This network shows the impact of papers produced by Fadime Şener. 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 Fadime Şener. The network helps show where Fadime Şener may publish in the future.
Co-authorship network of co-authors of Fadime Şener
This figure shows the co-authorship network connecting the top 25 collaborators of Fadime Şener. A scholar is included among the top collaborators of Fadime Şener 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 Fadime Şener. Fadime Şener 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 | 1 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 34 | |
| 6 | 10 | |
| 7 | 80 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | 55 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 27 | |
| 14 | 1 |
About Fadime Şener
Fadime Şener is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 14 papers that have together received 287 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Multimodal Machine Learning Applications (6 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (233 citations), Human-Computer Interaction (40 citations) and Artificial Intelligence (119 citations). Fadime Şener has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Angela Yao, Kun He, Nazlı İkizler-Cinbiş, Dipika Singhania, Robert Wang, Cem Keskin, Tomáš Hodaň, Luan Tran, Pınar Duygulu and Shugao Ma. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and Computer Vision and Image Understanding.
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.