Roman Sandler
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Media Technology top 10%
- Co-authors
- Michael LindenbaumVasilis Z. MarmarelisRobert E. HampsonSam A. DeadwylerTheodore W. BergerDong SongYehuda KorenEdo Liberty
- Topics
- Neural dynamics and brain function (7 papers)Neuroscience and Neuropharmacology Research (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionPLoS Computational Biology
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Roman Sandler
18 papers receiving 288 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 114
- Cognitive Neuroscience 72
- Artificial Intelligence 49
- Cellular and Molecular Neuroscience 45
- Media Technology 30
Countries citing papers authored by Roman Sandler
This map shows the geographic impact of Roman Sandler'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 Roman Sandler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Sandler more than expected).
Fields of papers citing papers by Roman Sandler
This network shows the impact of papers produced by Roman Sandler. 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 Roman Sandler. The network helps show where Roman Sandler may publish in the future.
Co-authorship network of co-authors of Roman Sandler
This figure shows the co-authorship network connecting the top 25 collaborators of Roman Sandler. A scholar is included among the top collaborators of Roman Sandler 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 Roman Sandler. Roman Sandler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 14 | |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 103 | |
| 14 | 12 | |
| 15 | 20 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 22 |
About Roman Sandler
Roman Sandler is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 297 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Computational Mathematics (3 citations) and Cognitive Neuroscience (72 citations). Roman Sandler has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Michael Lindenbaum, Vasilis Z. Marmarelis, Robert E. Hampson, Sam A. Deadwyler, Theodore W. Berger, Dong Song, Yehuda Koren, Edo Liberty, Yoelle Maarek and Mordechai Kornbluth. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and PLoS Computational Biology.
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.