Jacob Nachmias
- Cognitive Neuroscience top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Computer Vision and Pattern Recognition top 2%
- Social Psychology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Norma GrahamRichard V. SansburyColin BlakemoreJohn RobsonMurray B. SachsAndrew B. WatsonAnita L. WeberPeter Sutton
- Topics
- Visual perception and processing mechanisms (36 papers)Color Science and Applications (9 papers)Advanced Optical Imaging Technologies (7 papers)
- Partner nations
- United StatesUnited KingdomSouth Sudan
In The Last Decade
Jacob Nachmias
45 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 3.2k
- Atomic and Molecular Physics, and Optics 1.1k
- Computer Vision and Pattern Recognition 504
- Social Psychology 427
- Cellular and Molecular Neuroscience 374
Countries citing papers authored by Jacob Nachmias
This map shows the geographic impact of Jacob Nachmias'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 Jacob Nachmias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Nachmias more than expected).
Fields of papers citing papers by Jacob Nachmias
This network shows the impact of papers produced by Jacob Nachmias. 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 Jacob Nachmias. The network helps show where Jacob Nachmias may publish in the future.
Co-authorship network of co-authors of Jacob Nachmias
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Nachmias. A scholar is included among the top collaborators of Jacob Nachmias 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 Jacob Nachmias. Jacob Nachmias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 21 | |
| 3 | 71 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 27 | |
| 7 | 17 | |
| 8 | 53 | |
| 9 | 173 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 364 | |
| 13 | Spatial-Frequency Channels in Human Vision*breakdown → | 421 |
| 14 | 204 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | 65 | |
| 18 | 6 | |
| 19 | 21 | |
| 20 | 132 |
About Jacob Nachmias
Jacob Nachmias is a scholar working on Cognitive Neuroscience, Media Technology and General Psychology, having authored 45 papers that have together received 3.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (36 papers), Color Science and Applications (9 papers) and Advanced Optical Imaging Technologies (7 papers). The work is most often cited by research in Cognitive Neuroscience (3.2k citations), Atomic and Molecular Physics, and Optics (1.1k citations) and Ophthalmology (302 citations). Jacob Nachmias has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include Norma Graham, Richard V. Sansbury, Colin Blakemore, John Robson, Murray B. Sachs, Andrew B. Watson, Anita L. Weber, Peter Sutton, J. G. Robson and F. W. Campbell. Their work appears in journals such as Science, The Journal of Physiology and The Journal of the Acoustical Society of America.
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.