Matteo Comin
Impact in
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- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Fractal and DNA sequence analysis
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- Protein Structure and Dynamics
- Artificial Intelligence top 5%
- Algorithms and Data Compression
Papers in
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- Genomics and Phylogenetic Studies 35
- Machine Learning in Bioinformatics 20
- RNA and protein synthesis mechanisms 9
- Gene expression and cancer classification 7
- Fractal and DNA sequence analysis 6
- Protein Structure and Dynamics 5
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- Algorithms and Data Compression 26
- Co-authors
- Cinzia Pizzi (13 shared papers)Alberto Apostolico (6 shared papers)Laxmi Parida (6 shared papers)Concettina Guerra (5 shared papers)Giuseppe Zanotti (3 shared papers)Hani Z. Girgis (1 shared paper)Wojciech M. Karłowski (1 shared paper)Susana Vinga (1 shared paper)
- Journals
- Journal of Computational Biology (8 papers)BMC Bioinformatics (6 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)Algorithms for Molecular Biology (5 papers)Bioinformatics (2 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Matteo Comin
52 papers receiving 561 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 488
- Artificial Intelligence 217
- Ecology 66
- Hardware and Architecture 12
- Genetics 49
Countries citing papers authored by Matteo Comin
This map shows the geographic impact of Matteo Comin'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 Matteo Comin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Comin more than expected).
Fields of papers citing papers by Matteo Comin
This network shows the impact of papers produced by Matteo Comin. 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 Matteo Comin. The network helps show where Matteo Comin may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Comin, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2012 | 39 | |
| 3 | 2016 | 39 | |
| 4 | 2005 | 25 | |
| 5 | 2006 | 18 | |
| 6 | 2015 | 17 | |
| 7 | 2020 | 17 | |
| 8 | 2008 | 16 | |
| 9 | 2004 | 15 | |
| 10 | 2010 | 14 | |
| 11 | 2011 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2014 | 12 | |
| 14 | 2014 | 11 | |
| 15 | 2014 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2019 | 9 |
About Matteo Comin
Matteo Comin is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Ecology and Genetics, having authored 57 papers that have together received 567 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (35 papers), Algorithms and Data Compression (26 papers), Machine Learning in Bioinformatics (20 papers), RNA and protein synthesis mechanisms (9 papers), Gene expression and cancer classification (7 papers), Fractal and DNA sequence analysis (6 papers), Protein Structure and Dynamics (5 papers) and Microbial Community Ecology and Physiology (5 papers). The work is most often cited by research in Molecular Biology (488 citations), Artificial Intelligence (217 citations), Ecology (66 citations), Hardware and Architecture (12 citations) and Genetics (49 citations). Matteo Comin has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Cinzia Pizzi, Alberto Apostolico, Laxmi Parida, Concettina Guerra, Giuseppe Zanotti, Hani Z. Girgis, Wojciech M. Karłowski, Susana Vinga, Cheong Xin Chan and Burkhard Morgenstern. Their work appears in journals such as Journal of Computational Biology, BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Algorithms for Molecular Biology and Bioinformatics.
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.