Omer Bobrowski
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 10%
- Radiology, Nuclear Medicine and Imaging
- Statistical and Nonlinear Physics
- Cognitive Neuroscience
- Co-authors
- Robert J. AdlerPrimož ŠkrabaShmuel WeinbergerRon MeirYonina C. EldarSayan MukherjeeMatthias SchulteD. Yogeshwaran
- Topics
- Topological and Geometric Data Analysis (18 papers)Advanced Neuroimaging Techniques and Applications (6 papers)Homotopy and Cohomology in Algebraic Topology (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsNeural Computation
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Omer Bobrowski
17 papers receiving 198 citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 152
- Mathematical Physics 47
- Radiology, Nuclear Medicine and Imaging 36
- Statistical and Nonlinear Physics 28
- Cognitive Neuroscience 28
Countries citing papers authored by Omer Bobrowski
This map shows the geographic impact of Omer Bobrowski'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 Omer Bobrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omer Bobrowski more than expected).
Fields of papers citing papers by Omer Bobrowski
This network shows the impact of papers produced by Omer Bobrowski. 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 Omer Bobrowski. The network helps show where Omer Bobrowski may publish in the future.
Co-authorship network of co-authors of Omer Bobrowski
This figure shows the co-authorship network connecting the top 25 collaborators of Omer Bobrowski. A scholar is included among the top collaborators of Omer Bobrowski 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 Omer Bobrowski. Omer Bobrowski 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 | 7 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 23 | |
| 15 | 16 | |
| 16 | 26 | |
| 17 | 23 | |
| 18 | 10 | |
| 19 | 25 | |
| 20 | A neural network implementing optimal state estimation based on dynamic spike train decoding | 5 |
About Omer Bobrowski
Omer Bobrowski is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Geometry and Topology, having authored 21 papers that have together received 211 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (18 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Homotopy and Cohomology in Algebraic Topology (4 papers). The work is most often cited by research in Computational Theory and Mathematics (152 citations), Mathematical Physics (47 citations) and Biophysics (19 citations). Omer Bobrowski has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Robert J. Adler, Primož Škraba, Shmuel Weinberger, Ron Meir, Yonina C. Eldar, Sayan Mukherjee, Matthias Schulte, D. Yogeshwaran, Elizabeth Munch and Bei Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Neural Computation.
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.