Víctor M. Rivas

67 total papers · 2.2k total citations
23 papers, 1.6k citations indexed

About

Víctor M. Rivas is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Víctor M. Rivas has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Signal Processing and 5 papers in Management Science and Operations Research. Recurrent topics in Víctor M. Rivas's work include Neural Networks and Applications (12 papers), Evolutionary Algorithms and Applications (9 papers) and Stock Market Forecasting Methods (5 papers). Víctor M. Rivas is often cited by papers focused on Neural Networks and Applications (12 papers), Evolutionary Algorithms and Applications (9 papers) and Stock Market Forecasting Methods (5 papers). Víctor M. Rivas collaborates with scholars based in Spain, United States and Mexico. Víctor M. Rivas's co-authors include María José del Jesús, José Otero, Luciano Sánchez, Juan Carlos Fernández Fernández, Jesús Alcalá‐Fdez, Josep M. Garrell, Jaume Bacardit, Salvador García, Cristóbal Romero and Francisco Herrera and has published in prestigious journals such as Journal of the American College of Cardiology, Information Sciences and Fuzzy Sets and Systems.

In The Last Decade

Víctor M. Rivas

23 papers receiving 1.5k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Víctor M. Rivas 1.2k 386 192 182 149 23 1.6k
José Otero 1.3k 1.0× 397 1.0× 216 1.1× 184 1.0× 137 0.9× 35 1.6k
Essam Said Hanandeh 865 0.7× 278 0.7× 230 1.2× 254 1.4× 128 0.9× 24 1.6k
Robert E. Keller 1.2k 1.0× 237 0.6× 121 0.6× 97 0.5× 88 0.6× 20 1.8k
Josep M. Garrell 1.1k 0.9× 388 1.0× 174 0.9× 159 0.9× 84 0.6× 10 1.4k
Mohd Najib Mohd Salleh 874 0.7× 360 0.9× 126 0.7× 194 1.1× 97 0.7× 45 1.6k
Cezary Z. Janikow 1.2k 1.0× 538 1.4× 291 1.5× 114 0.6× 138 0.9× 44 1.9k
Tansel Dökeroğlu 825 0.7× 306 0.8× 166 0.9× 236 1.3× 113 0.8× 44 1.5k
Harun Uğuz 818 0.7× 226 0.6× 136 0.7× 260 1.4× 56 0.4× 37 1.5k
Shih-Hsi Liu 1.3k 1.1× 715 1.9× 150 0.8× 180 1.0× 102 0.7× 40 2.0k
Krzysztof Socha 910 0.7× 379 1.0× 88 0.5× 152 0.8× 214 1.4× 15 1.7k

Countries citing papers authored by Víctor M. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Víctor M. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor M. Rivas. 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 Víctor M. Rivas. The network helps show where Víctor M. Rivas may publish in the future.

Co-authorship network of co-authors of Víctor M. Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of Víctor M. Rivas. A scholar is included among the top collaborators of Víctor M. Rivas 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 Víctor M. Rivas. Víctor M. Rivas 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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