Eric Psota

858 citations
49 papers · 622 · h-index 11

Impact in

Papers in

Eric Psota

45 papers receiving 591 citations

Peers

Eric Psota
Comparison fields: 5 of 89
  • Small Animals 169
  • Computer Vision and Pattern Recognition 218
  • Animal Science and Zoology 81
  • Media Technology 45
  • Industrial and Manufacturing Engineering 43
Replace Henrik Karstoft with:
Henrik Karstoft Denmark
Peter Ahrendt Denmark
Yangyang Guo China
Daobilige Su Australia
Leifeng Guo China
Huasheng Huang China
Deqin Xiao China
Beibei Xu China
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Thi Thi Zin Japan
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Citations per field
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Citations per year

Countries citing papers authored by Eric Psota

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Eric Psota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Psota Line = papers co-authored together Eric Psota links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 201282
3 201979
4 202057
5 202323
6 201522
7 201219
8 202319
9 202317
10 201717
11 200912
12 201410
13 202010
14 20228
15 20237
16 20137
17
A local iterative refinement method for adaptive support-weight stereo matching
20116
18 20096
19 20146
20
A universal theory of pseudocodewords
20075

About Eric Psota

Eric Psota is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Small Animals, Computer Vision and Pattern Recognition and Animal Science and Zoology, having authored 49 papers that have together received 622 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (14 papers), Animal Behavior and Welfare Studies (13 papers), Cooperative Communication and Network Coding (10 papers), Advanced Wireless Communication Techniques (10 papers), Coding theory and cryptography (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Advanced Vision and Imaging (5 papers) and Food Supply Chain Traceability (4 papers). The work is most often cited by research in Small Animals (169 citations), Computer Vision and Pattern Recognition (218 citations), Animal Science and Zoology (81 citations), Media Technology (45 citations) and Industrial and Manufacturing Engineering (43 citations). Eric Psota has collaborated with scholars based in United States, Belgium and Egypt. Frequent co-authors include Lance C. Pérez, Benny E Mote, Ty B Schmidt, Amit J. Jhala, Stephen Scott, Jiating Li, Joe D. Luck, Arun N. Sivakumar, Yeyin Shi and Tomás Norton. Their work appears in journals such as Journal of Animal Science, Computers and Electronics in Agriculture, Animals, Sensors and IEEE Communications Letters.

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.

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