Winfried A. Fellenz
- Experimental and Cognitive Psychology top 0.5%
- Signal Processing top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Ellen Douglas‐CowieRoddy CowieJohn G. TaylorStefanos KolliasG. VotsisNicolas TsapatsoulisBruno ApolloniAngelo Romano
- Topics
- Neural dynamics and brain function (5 papers)Neural Networks and Applications (4 papers)Visual perception and processing mechanisms (4 papers)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Winfried A. Fellenz
15 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Experimental and Cognitive Psychology 1.3k
- Signal Processing 604
- Artificial Intelligence 549
- Computer Vision and Pattern Recognition 509
- Cognitive Neuroscience 451
Countries citing papers authored by Winfried A. Fellenz
This map shows the geographic impact of Winfried A. Fellenz'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 Winfried A. Fellenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Winfried A. Fellenz more than expected).
Fields of papers citing papers by Winfried A. Fellenz
This network shows the impact of papers produced by Winfried A. Fellenz. 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 Winfried A. Fellenz. The network helps show where Winfried A. Fellenz may publish in the future.
Co-authorship network of co-authors of Winfried A. Fellenz
This figure shows the co-authorship network connecting the top 25 collaborators of Winfried A. Fellenz. A scholar is included among the top collaborators of Winfried A. Fellenz 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 Winfried A. Fellenz. Winfried A. Fellenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | Emotion recognition in human-computer interactionbreakdown → | 1666 |
| 6 | Establishing retinotopy by lateral-inhibition type homogeneous neural fields. | 3 |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | Towards a neural based theory of emotional dispositions | 1 |
| 12 | What a neural net needs to know about emotion words | 49 |
| 13 | Neural dynamics for the perception of illusory contours: linking Gestalt-laws and synchronized oscillations | 1 |
| 14 | A Modular 10-DOF Vision System for High-Resolution Active Stereo | 1 |
| 15 | 3 |
About Winfried A. Fellenz
Winfried A. Fellenz is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Neural Networks and Applications (4 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.3k citations), Signal Processing (604 citations) and Human-Computer Interaction (146 citations). Winfried A. Fellenz has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Ellen Douglas‐Cowie, Roddy Cowie, John G. Taylor, Stefanos Kollias, G. Votsis, Nicolas Tsapatsoulis, Bruno Apolloni, Angelo Romano, N. Jon Shah and Barry Horwitz. Their work appears in journals such as IEEE Signal Processing Magazine, Neurocomputing and Neural Networks.
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.