Marcel Brun
Impact in
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Neural Networks and Applications
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Gene expression and cancer classification 16
- Bioinformatics and Genomic Networks 10
- Gene Regulatory Network Analysis 6
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- Medical Image Segmentation Techniques 12
- Image Retrieval and Classification Techniques 5
- Digital Imaging for Blood Diseases 4
- Co-authors
- Edward R. Dougherty (27 shared papers)Virginia L. Ballarin (23 shared papers)Ilya Shmulevich (1 shared paper)Jianping Hua (3 shared papers)Júnior Barrera (11 shared papers)James Lowey (2 shared papers)Chao Sima (1 shared paper)Edward Suh (1 shared paper)
- Journals
- Signal Processing (5 papers)Bioinformatics (3 papers)Journal of Mathematical Imaging and Vision (3 papers)Pattern Recognition (3 papers)Genomics (2 papers)
- Partner nations
- United StatesArgentinaBrazil
In The Last Decade
Marcel Brun
61 papers receiving 960 citations
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 257
- Molecular Biology 421
- Signal Processing 66
- Computer Vision and Pattern Recognition 118
- Computational Theory and Mathematics 80
Countries citing papers authored by Marcel Brun
This map shows the geographic impact of Marcel Brun'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 Marcel Brun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Brun more than expected).
Fields of papers citing papers by Marcel Brun
This network shows the impact of papers produced by Marcel Brun. 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 Marcel Brun. The network helps show where Marcel Brun may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcel Brun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 175 | |
| 2 | 2002 | 125 | |
| 3 | 2005 | 92 | |
| 4 | 2009 | 55 | |
| 5 | 2003 | 42 | |
| 6 | 2004 | 39 | |
| 7 | 2007 | 39 | |
| 8 | 2006 | 31 | |
| 9 | 2009 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2011 | 22 | |
| 12 | 2007 | 22 | |
| 13 | 2003 | 21 | |
| 14 | 2004 | 20 | |
| 15 | 2001 | 20 | |
| 16 | 2006 | 19 | |
| 17 | On the number of close-to-optimal feature sets. | 2007 | 18 |
| 18 | 2018 | 17 | |
| 19 | 2011 | 17 | |
| 20 | 2002 | 11 |
About Marcel Brun
Marcel Brun is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Genetics and Plant Science, having authored 65 papers that have together received 992 indexed citations. Recurring topics across this work include Gene expression and cancer classification (16 papers), Medical Image Segmentation Techniques (12 papers), Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (6 papers), Retinal Imaging and Analysis (5 papers), Neural Networks and Applications (5 papers), Image Retrieval and Classification Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Artificial Intelligence (257 citations), Molecular Biology (421 citations), Signal Processing (66 citations), Computer Vision and Pattern Recognition (118 citations) and Computational Theory and Mathematics (80 citations). Marcel Brun has collaborated with scholars based in United States, Argentina and Brazil. Frequent co-authors include Edward R. Dougherty, Virginia L. Ballarin, Ilya Shmulevich, Jianping Hua, Júnior Barrera, James Lowey, Chao Sima, Edward Suh, B.R. Carroll and Seungchan Kim. Their work appears in journals such as Signal Processing, Bioinformatics, Journal of Mathematical Imaging and Vision, Pattern Recognition and Genomics.
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.