José M. Vidal

101 total papers · 1.7k total citations
63 papers, 987 citations indexed

About

José M. Vidal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, José M. Vidal has authored 63 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 17 papers in Management Science and Operations Research. Recurrent topics in José M. Vidal's work include Multi-Agent Systems and Negotiation (14 papers), Auction Theory and Applications (13 papers) and Service-Oriented Architecture and Web Services (8 papers). José M. Vidal is often cited by papers focused on Multi-Agent Systems and Negotiation (14 papers), Auction Theory and Applications (13 papers) and Service-Oriented Architecture and Web Services (8 papers). José M. Vidal collaborates with scholars based in United States, Romania and Sweden. José M. Vidal's co-authors include Anand Nair, Paul A. Buhler, Edmund H. Durfee, Michael N. Huhns, Nathan Huynh, Christian Stahl, Hong Jiang, Harko Verhagen, William L. Romey and Yuanchang Xie and has published in prestigious journals such as The Journal of Physiology, Proceedings of the Royal Society B Biological Sciences and Computer.

In The Last Decade

José M. Vidal

58 papers receiving 882 citations

Author Peers

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

Author Last Decade Papers Cites
José M. Vidal 381 248 219 184 181 63 987
Maribel Yasmina Santos 183 0.5× 276 1.1× 354 1.6× 143 0.8× 161 0.9× 107 1.2k
Hossein Shirazi 285 0.7× 244 1.0× 93 0.4× 179 1.0× 232 1.3× 54 1.2k
Mark Greaves 224 0.6× 114 0.5× 221 1.0× 272 1.5× 82 0.5× 39 860
Dan Zhu 255 0.7× 366 1.5× 109 0.5× 80 0.4× 106 0.6× 77 926
Paul Harmon 226 0.6× 216 0.9× 432 2.0× 122 0.7× 62 0.3× 40 983
Mai Mohamed 191 0.5× 224 0.9× 81 0.4× 167 0.9× 169 0.9× 67 1.2k
Chintan Amrit 151 0.4× 346 1.4× 160 0.7× 97 0.5× 118 0.7× 54 848
Runliang Dou 102 0.3× 136 0.5× 178 0.8× 247 1.3× 122 0.7× 59 1.2k
Mihaela Ulieru 223 0.6× 118 0.5× 114 0.5× 79 0.4× 132 0.7× 84 861
Marios C. Angelides 199 0.5× 110 0.4× 207 0.9× 154 0.8× 99 0.5× 86 1.1k

Countries citing papers authored by José M. Vidal

Since Specialization
Citations

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

Fields of papers citing papers by José M. Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José M. Vidal

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