K. Rohr

807 citations
42 papers · 522 · h-index 13

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Image Processing Techniques and Applications

Papers in

    • Cell Image Analysis Techniques 23
    • Spectroscopy Techniques in Biomedical and Chemical Research 4
    • Advanced Vision and Imaging 7
    • Medical Image Segmentation Techniques 6
    • Video Surveillance and Tracking Methods 5

K. Rohr

41 papers receiving 502 citations

Peers

K. Rohr
Comparison fields: 5 of 83
  • Biophysics 234
  • Media Technology 75
  • Computer Vision and Pattern Recognition 169
  • Structural Biology 9
  • Radiology, Nuclear Medicine and Imaging 66
Replace Stefan Wörz with:
Stefan Wörz Germany
Virginie Uhlmann Switzerland
Alberto Santamaría-Pang United States
Ilker Ersoy United States
Grégory Paul Switzerland
Petr Matula Czechia
Martin Maška Czechia
Pavel Matula Czechia
Joe Chalfoun United States
Guangming Ni China
K. Rohr relative to Stefan Wörz Germany Stefan Wörz's profile →
Citations per field
00.5×1.5×2×
Stefan Wörz · 1×
Citations per year

Countries citing papers authored by K. Rohr

Since Specialization
Citations

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

Fields of papers citing papers by K. Rohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Rohr, 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 K. Rohr Line = papers co-authored together K. Rohr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200990
2 201956
3 200443
4 200735
5 201025
6 201822
7 202021
8 200818
9 200818
10 200717
11 201916
12 200616
13 201215
14 202112
15 201912
16 201812
17 201712
18 201110
19 200710
20 20206

About K. Rohr

K. Rohr is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Media Technology, Molecular Biology and Immunology, having authored 42 papers that have together received 522 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (23 papers), Image Processing Techniques and Applications (12 papers), Immunotherapy and Immune Responses (7 papers), Advanced Vision and Imaging (7 papers), Medical Image Segmentation Techniques (6 papers), AI in cancer detection (6 papers), Video Surveillance and Tracking Methods (5 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). The work is most often cited by research in Biophysics (234 citations), Media Technology (75 citations), Computer Vision and Pattern Recognition (169 citations), Structural Biology (9 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). K. Rohr has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Roland Eils, Stefan Wörz, Thomas Wollmann, William J. Godinez, Bárbara Müller, Marko Lampe, Pascal Cathier, Holger Erfle, I‐Fang Chung and Karsten Rippe. Their work appears in journals such as Medical Image Analysis, Developmental Biology, IEEE Transactions on Medical Imaging, Journal of Microscopy and Image and Vision Computing.

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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