Ignacio Ponzoni

1.2k total citations
54 papers, 687 citations indexed

About

Ignacio Ponzoni is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Ignacio Ponzoni has authored 54 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 22 papers in Molecular Biology and 13 papers in Materials Chemistry. Recurrent topics in Ignacio Ponzoni's work include Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (13 papers) and Bioinformatics and Genomic Networks (11 papers). Ignacio Ponzoni is often cited by papers focused on Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (13 papers) and Bioinformatics and Genomic Networks (11 papers). Ignacio Ponzoni collaborates with scholars based in Argentina, Spain and Uruguay. Ignacio Ponzoni's co-authors include Jessica Andrea Carballido, María Jimena Martínez, Mónica F. Díaz, Gustavo E. Vázquez, Axel J. Soto, Fiorella Cravero, Nuria E. Campillo, Nélida B. Brignole, C.A. Gallo and Víctor Sebastián-Pérez and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Ignacio Ponzoni

49 papers receiving 661 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ignacio Ponzoni Argentina 16 301 260 131 103 65 54 687
Joerg Wichard Germany 17 481 1.6× 390 1.5× 186 1.4× 112 1.1× 33 0.5× 38 1.1k
Kohulan Rajan Germany 11 314 1.0× 347 1.3× 144 1.1× 36 0.3× 25 0.4× 29 681
Alisson Marques da Silva Brazil 13 336 1.1× 300 1.2× 60 0.5× 131 1.3× 32 0.5× 39 745
Martin Gütlein Germany 9 212 0.7× 193 0.7× 36 0.3× 124 1.2× 24 0.4× 10 644
Sergey Sosnin Russia 12 289 1.0× 225 0.9× 175 1.3× 39 0.4× 20 0.3× 22 491
Tania Pencheva Bulgaria 15 180 0.6× 256 1.0× 34 0.3× 112 1.1× 18 0.3× 67 661
Alexios Koutsoukas United Kingdom 13 564 1.9× 487 1.9× 225 1.7× 65 0.6× 17 0.3× 26 906
Mélaine A. Kuenemann France 14 518 1.7× 544 2.1× 270 2.1× 78 0.8× 14 0.2× 23 994
Tonghua Li China 17 100 0.3× 343 1.3× 44 0.3× 77 0.7× 130 2.0× 44 792
Hao Tian China 18 195 0.6× 354 1.4× 107 0.8× 20 0.2× 84 1.3× 89 862

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-authorship network of co-authors of Ignacio Ponzoni

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Ponzoni. A scholar is included among the top collaborators of Ignacio Ponzoni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ignacio Ponzoni. Ignacio Ponzoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cravero, Fiorella, Ignacio Ponzoni, Mónica F. Díaz, & Gustavo E. Vázquez. (2026). From prediction to understanding: A review of XAI applications and innovations in materials science. Computational Materials Science. 267. 114493–114493.
2.
Martínez, María Jimena, Silvia Schiaffino, Daniela Godoy, Ignacio Ponzoni, & Axel J. Soto. (2024). Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter. 1–4.
3.
Ponzoni, Ignacio, et al.. (2023). Explainable artificial intelligence: A taxonomy and guidelines for its application to drug discovery. Wiley Interdisciplinary Reviews Computational Molecular Science. 13(6). 22 indexed citations
4.
Martínez, María Jimena, Axel J. Soto, Ramón Goméz Arrayás, et al.. (2023). Design of New Dispersants Using Machine Learning and Visual Analytics. Polymers. 15(5). 1324–1324. 4 indexed citations
5.
Ponzoni, Ignacio, et al.. (2023). Papillary Thyroid Carcinoma: A thorough Bioinformatic Analysis of Gene Expression and Clinical Data. Genes. 14(6). 1250–1250. 5 indexed citations
6.
Martínez, María Jimena, Axel J. Soto, Carlos Roca, et al.. (2022). Multitask Deep Neural Networks for Ames Mutagenicity Prediction. Journal of Chemical Information and Modeling. 62(24). 6342–6351. 11 indexed citations
7.
Cravero, Fiorella, et al.. (2021). PolyMaS: A new software to generate high molecular weight polymer macromolecules from repeating structural units. Polimery. 66(5). 293–297. 2 indexed citations
8.
Cravero, Fiorella, et al.. (2021). Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index. Computational Materials Science. 194. 110460–110460. 20 indexed citations
9.
Ponzoni, Ignacio, et al.. (2019). Development and use of a Cytoscape app for GRNCOP2. Computer Methods and Programs in Biomedicine. 177. 211–218. 3 indexed citations
10.
Cravero, Fiorella, et al.. (2019). Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets. Journal of Chemical Information and Modeling. 60(2). 592–603. 8 indexed citations
11.
Ponzoni, Ignacio, Víctor Sebastián-Pérez, María Jimena Martínez, et al.. (2019). QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease. Scientific Reports. 9(1). 9102–9102. 54 indexed citations
12.
Gallo, C.A., et al.. (2017). GeRNet: a gene regulatory network tool. Biosystems. 162. 1–11. 11 indexed citations
13.
Ponzoni, Ignacio, Víctor Sebastián-Pérez, Carlos Roca, et al.. (2017). Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery. Scientific Reports. 7(1). 2403–2403. 51 indexed citations
14.
Cravero, Fiorella, María Jimena Martínez, Gustavo E. Vázquez, Mónica F. Díaz, & Ignacio Ponzoni. (2016). Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design. PubMed. 13(2). 286–286. 8 indexed citations
15.
Martínez, María Jimena, Ignacio Ponzoni, Mónica F. Díaz, Gustavo E. Vázquez, & Axel J. Soto. (2015). Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods. Journal of Cheminformatics. 7(1). 39–39. 23 indexed citations
16.
Ponzoni, Ignacio, María José Nueda, Sonia Tarazona, et al.. (2014). Pathway network inference from gene expression data. BMC Systems Biology. 8(S2). S7–S7. 30 indexed citations
17.
Gallo, C.A., Jessica Andrea Carballido, & Ignacio Ponzoni. (2011). Discovering time-lagged rules from microarray data using gene profile classifiers. BMC Bioinformatics. 12(1). 123–123. 19 indexed citations
18.
Ponzoni, Ignacio, Francisco Azuaje, Juan Carlos Augusto, & David H. Glass. (2007). Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(4). 624–634. 21 indexed citations
19.
Ponzoni, Ignacio, et al.. (2002). A Symbolic Derivation Approach for Redundancy Analysis. Industrial & Engineering Chemistry Research. 41(23). 5692–5701. 4 indexed citations
20.
Ponzoni, Ignacio, Gustavo E. Vázquez, Mabel Sánchez, & Nélida B. Brignole. (2001). Parallel observability analysis on networks of workstations. Computers & Chemical Engineering. 25(7-8). 997–1002. 2 indexed citations

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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