Marcel Brun
- Artificial Intelligence top 5%
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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
- Signal Processing top 10%
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- Medical Image Segmentation Techniques 8
- Image Retrieval and Classification Techniques 4
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- Rough Sets and Fuzzy Logic 4
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- Retinal Imaging and Analysis 5
- Co-authors
- Edward R. DoughertyVirginia L. BallarinIlya ShmulevichJianping HuaJúnior BarreraJames LoweyMichael BittnerB.R. Carroll
- Journals
- Signal Processing (5 papers)Bioinformatics (3 papers)Journal of Mathematical Imaging and Vision (3 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 1 | |
| 5 | 2018 | 16 | |
| 6 | 2017 | 22 | |
| 7 | 2011 | 16 | |
| 8 | 2009 | 48 | |
| 9 | 2009 | 24 | |
| 10 | 2008 | 8 | |
| 11 | 2008 | 4 | |
| 12 | 2007 | 7 | |
| 13 | 2007 | 36 | |
| 14 | 2007 | 19 | |
| 15 | 2006 | 11 | |
| 16 | 2006 | 29 | |
| 17 | 2004 | 19 | |
| 18 | 2004 | 38 | |
| 19 | 2003 | 4 | |
| 20 | 2003 | 21 |
About Marcel Brun
Marcel Brun is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability, Artificial Intelligence, Geometry and Topology and Molecular Biology, 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), Machine Learning in Bioinformatics (4 papers), Image Retrieval and Classification Techniques (4 papers) and Rough Sets and Fuzzy Logic (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, Júnior Barrera, James Lowey, Michael Bittner, B.R. Carroll, Edward Suh and Chao Sima. 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.