Genaro J. Martínez

156 total papers · 990 total citations
56 papers, 438 citations indexed

About

Genaro J. Martínez is a scholar working on Computational Theory and Mathematics, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Genaro J. Martínez has authored 56 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Theory and Mathematics, 17 papers in Molecular Biology and 16 papers in Condensed Matter Physics. Recurrent topics in Genaro J. Martínez's work include Cellular Automata and Applications (44 papers), Theoretical and Computational Physics (16 papers) and DNA and Biological Computing (15 papers). Genaro J. Martínez is often cited by papers focused on Cellular Automata and Applications (44 papers), Theoretical and Computational Physics (16 papers) and DNA and Biological Computing (15 papers). Genaro J. Martínez collaborates with scholars based in Mexico, United Kingdom and Spain. Genaro J. Martínez's co-authors include Andrew Adamatzky, Juan Carlos Seck-Tuoh-Mora, Harold V. McIntosh, Ramón Alonso‐Sanz, S. M. Heald, Ki‐Hyun Kim, Héctor Zenil, J.J Diaz, Georgios Ch. Sirakoulis and Eric Goles and has published in prestigious journals such as Scientific Reports, IEEE Access and Information Sciences.

In The Last Decade

Genaro J. Martínez

46 papers receiving 382 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Genaro J. Martínez 271 113 94 77 74 56 438
Petr Kůrka 342 1.3× 85 0.8× 43 0.5× 31 0.4× 25 0.3× 53 494
Milan Rajković 133 0.5× 64 0.6× 30 0.3× 27 0.4× 26 0.4× 23 396
Isabel Beichl 35 0.1× 37 0.3× 56 0.6× 25 0.3× 77 1.0× 37 388
Nazim Fatès 139 0.5× 53 0.5× 31 0.3× 60 0.8× 66 0.9× 37 380
Lu Li 102 0.4× 39 0.3× 22 0.2× 74 1.0× 5 0.1× 61 484
Servet Martı́nez 91 0.3× 50 0.4× 32 0.3× 12 0.2× 46 0.6× 42 496
Péter Koltai 34 0.1× 101 0.9× 50 0.5× 22 0.3× 18 0.2× 29 378
Zhou Yu 32 0.1× 24 0.2× 62 0.7× 21 0.3× 55 0.7× 50 399
Jean Barbier 32 0.1× 16 0.1× 134 1.4× 111 1.4× 33 0.4× 32 459
Marek Berezowski 31 0.1× 25 0.2× 25 0.3× 149 1.9× 19 0.3× 57 387

Countries citing papers authored by Genaro J. Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Genaro J. Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genaro J. Martínez. 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 Genaro J. Martínez. The network helps show where Genaro J. Martínez may publish in the future.

Co-authorship network of co-authors of Genaro J. Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Genaro J. Martínez. A scholar is included among the top collaborators of Genaro J. Martínez 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 Genaro J. Martínez. Genaro J. Martínez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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