Mateo Torres

693 citations
4 papers · 67 · h-index 3

Impact in

Papers in

    • Bioinformatics and Genomic Networks 3
    • Machine Learning in Bioinformatics 1
    • Genomics and Phylogenetic Studies 1
    • Ubiquitin and proteasome pathways 1
    • Computational Drug Discovery Methods 1
    • Advanced Multi-Objective Optimization Algorithms 1

Mateo Torres

4 papers receiving 65 citations

Peers

Mateo Torres
Comparison fields: 5 of 36
  • Health Informatics 4
  • Computational Theory and Mathematics 21
  • Molecular Biology 42
  • Health Information Management 2
  • Infectious Diseases 8
Replace Mareike Wendorff with:
Mareike Wendorff Germany
Hermann Zellner Germany
Joseph H. Lubin United States
Marina Gorostiola González Netherlands
Kalpana Panneerselvam Italy
Ravi Mathur United States
Dmitry Lepikhin United States
Jacob K. Asiedu United States
Brandon White United States
Sreenath Nair United Kingdom
Mateo Torres relative to Mareike Wendorff Germany Mareike Wendorff's profile →
Citations per field
00.5×2.7×
Mareike Wendorff · 1×
Citations per year

Countries citing papers authored by Mateo Torres

Since Specialization
Citations

This map shows the geographic impact of Mateo Torres'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 Mateo Torres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateo Torres more than expected).

Fields of papers citing papers by Mateo Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateo Torres. 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 Mateo Torres. The network helps show where Mateo Torres may publish in the future.

Co-authors

The 16 scholars most cited alongside Mateo Torres, 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 Mateo Torres Line = papers co-authored together Mateo Torres links everyone, so they are left out of the graph.

All Works

About Mateo Torres

Mateo Torres is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biological Psychiatry, Artificial Intelligence and Spectroscopy, having authored 4 papers that have together received 67 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (1 paper), Computational Drug Discovery Methods (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Evolutionary Algorithms and Applications (1 paper), Genomics and Phylogenetic Studies (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Health Informatics (4 citations), Computational Theory and Mathematics (21 citations), Molecular Biology (42 citations), Health Information Management (2 citations) and Infectious Diseases (8 citations). Mateo Torres has collaborated with scholars based in Paraguay, Brazil and United Kingdom. Frequent co-authors include Alberto Paccanaro, Haixuan Yang, Diego Galeano, Alfonso E. Romero, Luca Cernuzzi, Weiqiang Lü, Feixiong Cheng, Haiyuan Yu, Siqi Liang and Benjamı́n Barán. Their work appears in journals such as Nature Machine Intelligence, Nature Biotechnology and Patterns.

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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