Ignacio Ponzoni
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
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- Computational Drug Discovery Methods 23
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- Bioinformatics and Genomic Networks 11
- Gene Regulatory Network Analysis 9
- Gene expression and cancer classification 8
- Co-authors
- Jessica Andrea Carballido (13 shared papers)María Jimena Martínez (17 shared papers)Mónica F. Díaz (15 shared papers)Gustavo E. Vázquez (12 shared papers)Fiorella Cravero (13 shared papers)Axel J. Soto (9 shared papers)Nuria E. Campillo (6 shared papers)Nélida B. Brignole (8 shared papers)
In The Last Decade
Ignacio Ponzoni
49 papers receiving 661 citations
Peers
Comparison fields: 5 of 121
- Computational Theory and Mathematics 301
- Molecular Biology 260
- Analytical Chemistry 32
- Artificial Intelligence 103
- Materials Chemistry 131
Countries citing papers authored by Ignacio Ponzoni
This map shows the geographic impact of Ignacio Ponzoni'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 Ignacio Ponzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Ponzoni more than expected).
Fields of papers citing papers by Ignacio Ponzoni
This network shows the impact of papers produced by Ignacio Ponzoni. 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 Ignacio Ponzoni. The network helps show where Ignacio Ponzoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Ponzoni, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 63 | |
| 2 | 2019 | 54 | |
| 3 | 2017 | 51 | |
| 4 | 2015 | 42 | |
| 5 | 2009 | 39 | |
| 6 | 2014 | 30 | |
| 7 | 2015 | 23 | |
| 8 | 2007 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2007 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2011 | 19 | |
| 13 | 2011 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2022 | 15 | |
| 17 | 1999 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2019 | 12 |
About Ignacio Ponzoni
Ignacio Ponzoni is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Control and Systems Engineering and Artificial Intelligence, having authored 54 papers that have together received 687 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (13 papers), Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (9 papers), Gene expression and cancer classification (8 papers), Advanced Control Systems Optimization (7 papers), Fault Detection and Control Systems (6 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in Computational Theory and Mathematics (301 citations), Molecular Biology (260 citations), Analytical Chemistry (32 citations), Artificial Intelligence (103 citations) and Materials Chemistry (131 citations). Ignacio Ponzoni has collaborated with scholars based in Argentina, Spain and Uruguay. Frequent co-authors include Jessica Andrea Carballido, María Jimena Martínez, Mónica F. Díaz, Gustavo E. Vázquez, Fiorella Cravero, Axel J. Soto, Nuria E. Campillo, Nélida B. Brignole, C.A. Gallo and Víctor Sebastián-Pérez. Their work appears in journals such as Industrial & Engineering Chemistry Research, Scientific Reports, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Applied Soft Computing and Computational Materials Science.
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.