Jeremi K. Ochab
- Cognitive Neuroscience
- Statistical and Nonlinear Physics
- Experimental and Cognitive Psychology
- Artificial Intelligence
- Psychiatry and Mental health
- Co-authors
- Dante R. ChialvoZ. BurdaTadeusz MarekMagdalena FąfrowiczMaciej A. NowakEwa Gudowska–NowakIgnacio CifréAnna Bereś
- Topics
- Neural dynamics and brain function (7 papers)Complex Network Analysis Techniques (5 papers)Complex Systems and Time Series Analysis (5 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsExperimental and Cognitive Psychology
- Journals
- PLoS ONENeuroImageScientific Reports
In The Last Decade
Jeremi K. Ochab
22 papers receiving 224 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 98
- Statistical and Nonlinear Physics 37
- Experimental and Cognitive Psychology 37
- Artificial Intelligence 34
- Psychiatry and Mental health 27
Countries citing papers authored by Jeremi K. Ochab
This map shows the geographic impact of Jeremi K. Ochab'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 Jeremi K. Ochab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremi K. Ochab more than expected).
Fields of papers citing papers by Jeremi K. Ochab
This network shows the impact of papers produced by Jeremi K. Ochab. 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 Jeremi K. Ochab. The network helps show where Jeremi K. Ochab may publish in the future.
Co-authorship network of co-authors of Jeremi K. Ochab
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremi K. Ochab. A scholar is included among the top collaborators of Jeremi K. Ochab 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 Jeremi K. Ochab. Jeremi K. Ochab 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 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 21 | |
| 11 | 15 | |
| 12 | 38 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 13 | |
| 18 | 16 | |
| 19 | 10 | |
| 20 | 10 |
About Jeremi K. Ochab
Jeremi K. Ochab is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Signal Processing, having authored 24 papers that have together received 225 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Complex Network Analysis Techniques (5 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Cognitive Neuroscience (98 citations), Statistical and Nonlinear Physics (37 citations) and Experimental and Cognitive Psychology (37 citations). Jeremi K. Ochab has collaborated with scholars based in Poland, Argentina and Germany. Frequent co-authors include Dante R. Chialvo, Z. Burda, Tadeusz Marek, Magdalena Fąfrowicz, Maciej A. Nowak, Ewa Gudowska–Nowak, Ignacio Cifré, Anna Bereś, Paweł Oświȩcimka and Aleksandra Domagalik. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
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.