Jérôme Fehrenbach

68 total papers · 1.3k total citations
34 papers, 837 citations indexed

About

Jérôme Fehrenbach is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jérôme Fehrenbach has authored 34 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jérôme Fehrenbach's work include Medical Image Segmentation Techniques (6 papers), Cellular Mechanics and Interactions (5 papers) and Ultrasound Imaging and Elastography (5 papers). Jérôme Fehrenbach is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Cellular Mechanics and Interactions (5 papers) and Ultrasound Imaging and Elastography (5 papers). Jérôme Fehrenbach collaborates with scholars based in France, United Kingdom and Germany. Jérôme Fehrenbach's co-authors include Pierre Weiss, Valérie Lobjois, Carlos Lorenzo, Pierre Degond, Bernard Ducommun, Cécile Appert-Rolland, Samuel Lemercier, Julien Pettré, Frédéric de Gournay and Mohamed Masmoudi and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Jérôme Fehrenbach

34 papers receiving 818 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jérôme Fehrenbach 247 195 186 110 97 34 837
Jianwei Zhang 110 0.4× 35 0.2× 302 1.6× 101 0.9× 28 0.3× 75 794
Syed Rameez Naqvi 79 0.3× 15 0.1× 297 1.6× 46 0.4× 84 0.9× 57 966
Quan Wen 54 0.2× 18 0.1× 288 1.5× 88 0.8× 22 0.2× 80 941
Xiaobo Li 39 0.2× 34 0.2× 346 1.9× 37 0.3× 73 0.8× 60 940
Chaofeng Wang 136 0.6× 122 0.6× 212 1.1× 14 0.1× 134 1.4× 51 782
Zhe Yang 61 0.2× 55 0.3× 183 1.0× 21 0.2× 38 0.4× 121 794
Joanna Jaworek-Korjakowska 105 0.4× 11 0.1× 187 1.0× 23 0.2× 115 1.2× 45 793
Dennis M. Goodman 220 0.9× 24 0.1× 64 0.3× 41 0.4× 213 2.2× 31 752
Jingtian Tang 68 0.3× 142 0.7× 238 1.3× 68 0.6× 40 0.4× 83 970
Jun Zhang 85 0.3× 16 0.1× 479 2.6× 22 0.2× 50 0.5× 40 949

Countries citing papers authored by Jérôme Fehrenbach

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Fehrenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Fehrenbach

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

All Works

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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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