Nicholas J. Butko
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology top 10%
- Human-Computer Interaction top 10%
- Co-authors
- Javier R. MovellanTingfan WuMarian Stewart BartlettLingyun ZhangGarrison W. CottrellPaul RuvoloJacob WhitehillJochen Triesch
- Topics
- Visual Attention and Saliency Detection (5 papers)Neural dynamics and brain function (4 papers)Emotion and Mood Recognition (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionExperimental and Cognitive Psychology
- Journals
- NeurocomputingNeural NetworksIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- United StatesGermany
In The Last Decade
Nicholas J. Butko
18 papers receiving 328 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 217
- Cognitive Neuroscience 110
- Artificial Intelligence 90
- Experimental and Cognitive Psychology 80
- Human-Computer Interaction 49
Countries citing papers authored by Nicholas J. Butko
This map shows the geographic impact of Nicholas J. Butko'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 Nicholas J. Butko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas J. Butko more than expected).
Fields of papers citing papers by Nicholas J. Butko
This network shows the impact of papers produced by Nicholas J. Butko. 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 Nicholas J. Butko. The network helps show where Nicholas J. Butko may publish in the future.
Co-authorship network of co-authors of Nicholas J. Butko
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Butko. A scholar is included among the top collaborators of Nicholas J. Butko 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 Nicholas J. Butko. Nicholas J. Butko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 18 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 29 | |
| 7 | 8 | |
| 8 | Active perception | 2 |
| 9 | 61 | |
| 10 | 36 | |
| 11 | 11 | |
| 12 | 31 | |
| 13 | 55 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | Exploring the role of intrinsic plasticity for the learning of sensory representations. | 3 |
| 17 | A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition | 6 |
| 18 | 16 |
About Nicholas J. Butko
Nicholas J. Butko is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (5 papers), Neural dynamics and brain function (4 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (217 citations), Human-Computer Interaction (49 citations) and Experimental and Cognitive Psychology (80 citations). Nicholas J. Butko has collaborated with scholars based in United States and Germany. Frequent co-authors include Javier R. Movellan, Tingfan Wu, Marian Stewart Bartlett, Lingyun Zhang, Garrison W. Cottrell, Paul Ruvolo, Jacob Whitehill, Jochen Triesch, Joachim Denzler and Matthai Philipose. Their work appears in journals such as Neurocomputing, Neural Networks and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.