Jason M. Samonds
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics
- Co-authors
- A. B. BondsTai Sing LeeNicholas J. PriebeBrian PotetzRyan C. KellyMatthew A. SmithJ. Anthony MovshonAdam Kohn
- Topics
- Neural dynamics and brain function (23 papers)Visual perception and processing mechanisms (20 papers)Neurobiology and Insect Physiology Research (10 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jason M. Samonds
26 papers receiving 573 citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 523
- Cellular and Molecular Neuroscience 340
- Molecular Biology 72
- Electrical and Electronic Engineering 46
- Statistical and Nonlinear Physics 31
Countries citing papers authored by Jason M. Samonds
This map shows the geographic impact of Jason M. Samonds'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 Jason M. Samonds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason M. Samonds more than expected).
Fields of papers citing papers by Jason M. Samonds
This network shows the impact of papers produced by Jason M. Samonds. 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 Jason M. Samonds. The network helps show where Jason M. Samonds may publish in the future.
Co-authorship network of co-authors of Jason M. Samonds
This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Samonds. A scholar is included among the top collaborators of Jason M. Samonds 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 Jason M. Samonds. Jason M. Samonds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 26 | |
| 3 | 28 | |
| 4 | 32 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 157 | |
| 15 | 53 | |
| 16 | 6 | |
| 17 | 26 | |
| 18 | 1 | |
| 19 | 54 | |
| 20 | 14 |
About Jason M. Samonds
Jason M. Samonds is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 28 papers that have together received 579 indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Visual perception and processing mechanisms (20 papers) and Neurobiology and Insect Physiology Research (10 papers). The work is most often cited by research in Cognitive Neuroscience (523 citations), Cellular and Molecular Neuroscience (340 citations) and Sensory Systems (16 citations). Jason M. Samonds has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include A. B. Bonds, Tai Sing Lee, Nicholas J. Priebe, Brian Potetz, Ryan C. Kelly, Matthew A. Smith, J. Anthony Movshon, Adam Kohn, John D. Allison and Heather A. Brown. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.
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.