Peter Šajda
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Signal Processing
- Human-Computer Interaction top 10%
- Co-authors
- Leif H. FinkelBenjamin BlankertzK. MüllerAdam D. GersonL. ParraLucas C. ParraMarios G. PhiliastidesClay D. Spence
- Topics
- Neural dynamics and brain function (19 papers)Visual perception and processing mechanisms (17 papers)Visual Attention and Saliency Detection (5 papers)
- Partner nations
- United StatesSlovakiaGermany
In The Last Decade
Peter Šajda
19 papers receiving 409 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 378
- Cellular and Molecular Neuroscience 99
- Computer Vision and Pattern Recognition 85
- Signal Processing 41
- Human-Computer Interaction 34
Countries citing papers authored by Peter Šajda
This map shows the geographic impact of Peter Šajda'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 Peter Šajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Šajda more than expected).
Fields of papers citing papers by Peter Šajda
This network shows the impact of papers produced by Peter Šajda. 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 Peter Šajda. The network helps show where Peter Šajda may publish in the future.
Co-authorship network of co-authors of Peter Šajda
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Šajda. A scholar is included among the top collaborators of Peter Šajda 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 Peter Šajda. Peter Šajda 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 | Kierkegaard Studies Yearbook 2014 | 0 |
| 4 | 22 | |
| 5 | CHOICE OF ONESELF: REVISITING GUARDINI’S CRITIQUE OF KIERKEGAARD’S CONCEPT OF SELFHOOD | 0 |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 0 | |
| 9 | 19 | |
| 10 | 35 | |
| 11 | 11 | |
| 12 | 99 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals | 24 |
| 16 | 104 | |
| 17 | Constructing Visual Perception | 18 |
| 18 | Dual Mechanisms for Neural Binding and Segmentation | 2 |
| 19 | 47 | |
| 20 | 7 |
About Peter Šajda
Peter Šajda is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Neurology, having authored 29 papers that have together received 433 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Visual perception and processing mechanisms (17 papers) and Visual Attention and Saliency Detection (5 papers). The work is most often cited by research in Cognitive Neuroscience (378 citations), Human-Computer Interaction (34 citations) and Cellular and Molecular Neuroscience (99 citations). Peter Šajda has collaborated with scholars based in United States, Slovakia and Germany. Frequent co-authors include Leif H. Finkel, Benjamin Blankertz, K. Müller, Adam D. Gerson, L. Parra, Lucas C. Parra, Marios G. Philiastides, Clay D. Spence, Kyungim Baek and Jacek Dmochowski. Their work appears in journals such as Journal of Neurophysiology, Cerebral Cortex and Journal of Cognitive Neuroscience.
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.