Marcel Brun
Impact in
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
- 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 17
- Bioinformatics and Genomic Networks 11
- Gene Regulatory Network Analysis 7
- Machine Learning in Bioinformatics 4
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- Medical Image Segmentation Techniques 8
- Co-authors
- Edward R. Dougherty (26 shared papers)Virginia L. Ballarin (18 shared papers)Ilya Shmulevich (1 shared paper)Jianping Hua (3 shared papers)James Lowey (2 shared papers)Júnior Barrera (10 shared papers)B.R. Carroll (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)Pattern Recognition Letters (2 papers)
- Partner nations
- United StatesArgentinaBrazil
In The Last Decade
Marcel Brun
56 papers receiving 848 citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 223
- Molecular Biology 430
- Signal Processing 56
- Computer Vision and Pattern Recognition 100
- Computational Theory and Mathematics 74
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 155 | |
| 2 | 2002 | 113 | |
| 3 | 2005 | 89 | |
| 4 | 2009 | 48 | |
| 5 | 2004 | 38 | |
| 6 | 2007 | 36 | |
| 7 | 2003 | 36 | |
| 8 | 2006 | 29 | |
| 9 | 2009 | 24 | |
| 10 | 2017 | 22 | |
| 11 | 2003 | 21 | |
| 12 | 2007 | 19 | |
| 13 | 2004 | 19 | |
| 14 | 2006 | 18 | |
| 15 | On the number of close-to-optimal feature sets. | 2007 | 17 |
| 16 | 2018 | 16 | |
| 17 | 2011 | 16 | |
| 18 | 2011 | 16 | |
| 19 | 2001 | 16 | |
| 20 | 2006 | 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 59 papers that have together received 882 indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Bioinformatics and Genomic Networks (11 papers), Medical Image Segmentation Techniques (8 papers), Gene Regulatory Network Analysis (7 papers), Retinal Imaging and Analysis (5 papers), Advanced Clustering Algorithms Research (4 papers), Machine Learning in Bioinformatics (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (223 citations), Molecular Biology (430 citations), Signal Processing (56 citations), Computer Vision and Pattern Recognition (100 citations) and Computational Theory and Mathematics (74 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, James Lowey, Júnior Barrera, B.R. Carroll, Edward Suh, Chao Sima and Seungchan Kim. Their work appears in journals such as Signal Processing, Bioinformatics, Journal of Mathematical Imaging and Vision, Pattern Recognition and Pattern Recognition Letters.
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.