Jonathan Krynitsky

415 total citations
13 papers, 196 citations indexed

About

Jonathan Krynitsky is a scholar working on Computer Vision and Pattern Recognition, Small Animals and Molecular Biology. According to data from OpenAlex, Jonathan Krynitsky has authored 13 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Small Animals and 3 papers in Molecular Biology. Recurrent topics in Jonathan Krynitsky's work include Advanced Vision and Imaging (3 papers), Animal Behavior and Welfare Studies (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Jonathan Krynitsky is often cited by papers focused on Advanced Vision and Imaging (3 papers), Animal Behavior and Welfare Studies (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Jonathan Krynitsky collaborates with scholars based in United States and Switzerland. Jonathan Krynitsky's co-authors include Thomas J. Pohida, Marcial Garmendia‐Cedillos, Peter Schuck, Huaying Zhao, Tom Pohida, Alexxai V. Kravitz, Grégoire Courtine, Anupama Sathyamurthy, Yi Ding and Randall Pursley and has published in prestigious journals such as Nature Communications, PLoS ONE and Analytical Chemistry.

In The Last Decade

Jonathan Krynitsky

13 papers receiving 194 citations

Peers

Jonathan Krynitsky
Comparison fields: 5 of 73
  • Molecular Biology 57
  • Cellular and Molecular Neuroscience 36
  • Biomedical Engineering 25
  • Small Animals 24
  • Pathology and Forensic Medicine 23
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Jinhui Zhang China
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Alexander Hsu United States
Raymond L. Warner United States
Thomas Farrell United States
Sherry Lin United States
S. Wadhwa India
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Vijay S. Adusumilli Germany
Christian Foja Germany
Jinhui Zhang China View profile →
Citations per field, relative to Jonathan Krynitsky
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Citations per year, relative to Jonathan Krynitsky
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Countries citing papers authored by Jonathan Krynitsky

Since Specialization
Citations

This map shows the geographic impact of Jonathan Krynitsky'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 Jonathan Krynitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Krynitsky more than expected).

Fields of papers citing papers by Jonathan Krynitsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Krynitsky. 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 Jonathan Krynitsky. The network helps show where Jonathan Krynitsky may publish in the future.

Co-authorship network of co-authors of Jonathan Krynitsky

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Krynitsky. A scholar is included among the top collaborators of Jonathan Krynitsky 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 Jonathan Krynitsky. Jonathan Krynitsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 2
2 4
3 52
4 22
5 6
6 21
7 12
8 17
9 1
10 26
11 2
12 3
13 28

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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