Fernand S. Cohen

2.6k total citations
88 papers, 1.9k citations indexed

About

Fernand S. Cohen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Fernand S. Cohen has authored 88 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 17 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Computational Mechanics. Recurrent topics in Fernand S. Cohen's work include Medical Image Segmentation Techniques (18 papers), Ultrasound Imaging and Elastography (16 papers) and Advanced Vision and Imaging (14 papers). Fernand S. Cohen is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Ultrasound Imaging and Elastography (16 papers) and Advanced Vision and Imaging (14 papers). Fernand S. Cohen collaborates with scholars based in United States, Netherlands and Thailand. Fernand S. Cohen's co-authors include Z. Fan, Zhengwei Yang, David B. Cooper, Zhaohui Huang, Maqbool Patel, Γεωργία Γεωργίου, Zhigang Fan, Chongzhen Zhang, Raymond D. Rimey and Ethan J. Halpern and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Fernand S. Cohen

80 papers receiving 1.7k citations

Peers

Fernand S. Cohen
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 325
  • Industrial and Manufacturing Engineering 286
  • Computational Mechanics 281
  • Radiology, Nuclear Medicine and Imaging 199
Replace M.A. Abidi with:
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J.H. Husøy Norway
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M.A. Abidi United States View profile →
Citations per field, relative to Fernand S. Cohen
Fernand S. Cohen · 1×
Citations per year, relative to Fernand S. Cohen
Fernand S. Cohen · 1×

Countries citing papers authored by Fernand S. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Fernand S. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernand S. Cohen. 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 Fernand S. Cohen. The network helps show where Fernand S. Cohen may publish in the future.

Co-authorship network of co-authors of Fernand S. Cohen

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2
FINGERPRINT ALIGNMENT USING MINUTIAE-BASED METHOD COMBINED WITH AFFINE INVARIANT
3
3 2
4 2
5 2
6 1
7 2
8 4
9 39
10 30
11 0
12 5
13 32
14 34
15 44
16 42
17 91
18 111
19
Unsupervised Textured Image Segmentation
15
20 17

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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