Ignacio Ponzoni

1.2k citations
55 papers · 710 · h-index 16

Impact in

Papers in

Ignacio Ponzoni

50 papers receiving 688 citations

Peers

Ignacio Ponzoni
Comparison fields: 5 of 122
  • Computational Theory and Mathematics 294
  • Molecular Biology 245
  • Analytical Chemistry 32
  • Artificial Intelligence 104
  • Materials Chemistry 125
Replace Joerg Wichard with:
Joerg Wichard Germany
Martin Gütlein Germany
Kohulan Rajan Germany
Tania Pencheva Bulgaria
Sergey Sosnin Russia
Mélaine A. Kuenemann France
Alisson Marques da Silva Brazil
Evgeny Byvatov Germany
Fahimeh Ghasemi Iran
Jingjing Song China
Ignacio Ponzoni relative to Joerg Wichard Germany Joerg Wichard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ignacio Ponzoni

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ignacio Ponzoni Line = papers co-authored together Ignacio Ponzoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201363
2 201958
3 201754
4 201543
5 200939
6 201430
7 202325
8 201524
9 200723
10 202121
11 200721
12 201119
13 201119
14 201918
15 201917
16 202216
17 202214
18 199914
19 201913
20 201813

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 55 papers that have together received 710 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Machine Learning in Materials Science (13 papers), Bioinformatics and Genomic Networks (9 papers), Advanced Control Systems Optimization (8 papers), Gene Regulatory Network Analysis (7 papers), Gene expression and cancer classification (6 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 (294 citations), Molecular Biology (245 citations), Analytical Chemistry (32 citations), Artificial Intelligence (104 citations) and Materials Chemistry (125 citations). Ignacio Ponzoni has collaborated with scholars based in Argentina, Spain and Uruguay. Frequent co-authors include María Jimena Martínez, Jessica Andrea Carballido, 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, Biosystems, Computational Materials Science, Journal of Chemical Information and Modeling and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative 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.

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