Eric Psota
About
In The Last Decade
Eric Psota
45 papers receiving 591 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 218
- Small Animals 169
- Plant Science 132
- Animal Science and Zoology 81
- Food Science 78
Countries citing papers authored by Eric Psota
This map shows the geographic impact of Eric Psota'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 Eric Psota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Psota more than expected).
Fields of papers citing papers by Eric Psota
This network shows the impact of papers produced by Eric Psota. 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 Eric Psota. The network helps show where Eric Psota may publish in the future.
Co-authorship network of co-authors of Eric Psota
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Psota. A scholar is included among the top collaborators of Eric Psota 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 Eric Psota. Eric Psota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | 146 | |
| 10 | 57 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | A local iterative refinement method for adaptive support-weight stereo matching | 6 |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | A universal theory of pseudocodewords | 5 |
| 20 | 4 |
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.