Peter J. Kostelec
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Cognitive Neuroscience
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Co-authors
- Daniel N. RockmoreD.M. HealyDennis M. HealyJohn B. WeaverMichael S. GazzanigaJohn D. Van HornJeffrey S. GretheJaved A. Aslam
- Topics
- Medical Image Segmentation Techniques (4 papers)Scientific Research and Discoveries (3 papers)Numerical Methods and Algorithms (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionStructural BiologyComputer Graphics and Computer-Aided Design
- Journals
- NeuroImageJournal of Computational PhysicsPhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Peter J. Kostelec
13 papers receiving 521 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 207
- Computational Mechanics 89
- Cognitive Neuroscience 87
- Radiology, Nuclear Medicine and Imaging 81
- Aerospace Engineering 80
Countries citing papers authored by Peter J. Kostelec
This map shows the geographic impact of Peter J. Kostelec'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 J. Kostelec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Kostelec more than expected).
Fields of papers citing papers by Peter J. Kostelec
This network shows the impact of papers produced by Peter J. Kostelec. 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 J. Kostelec. The network helps show where Peter J. Kostelec may publish in the future.
Co-authorship network of co-authors of Peter J. Kostelec
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Kostelec. A scholar is included among the top collaborators of Peter J. Kostelec 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 J. Kostelec. Peter J. Kostelec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 123 | |
| 2 | A Lite Version of SpharmonicKit | 3 |
| 3 | 18 | |
| 4 | 205 | |
| 5 | 24 | |
| 6 | 95 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 36 | |
| 12 | 4 | |
| 13 | 7 |
About Peter J. Kostelec
Peter J. Kostelec is a scholar working on Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 550 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Scientific Research and Discoveries (3 papers) and Numerical Methods and Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Structural Biology (10 citations) and Computer Graphics and Computer-Aided Design (24 citations). Peter J. Kostelec has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Daniel N. Rockmore, D.M. Healy, Dennis M. Healy, John B. Weaver, Michael S. Gazzaniga, John D. Van Horn, Jeffrey S. Grethe, Javed A. Aslam, Daniela Rus and Wim Hordijk. Their work appears in journals such as NeuroImage, Journal of Computational Physics and Philosophical Transactions of the Royal Society B Biological Sciences.
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.