Eugene Santos

211 total papers · 1.6k total citations
136 papers, 1.0k citations indexed

About

Eugene Santos is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Eugene Santos has authored 136 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 23 papers in Information Systems. Recurrent topics in Eugene Santos's work include AI-based Problem Solving and Planning (41 papers), Bayesian Modeling and Causal Inference (40 papers) and Logic, Reasoning, and Knowledge (24 papers). Eugene Santos is often cited by papers focused on AI-based Problem Solving and Planning (41 papers), Bayesian Modeling and Causal Inference (40 papers) and Logic, Reasoning, and Knowledge (24 papers). Eugene Santos collaborates with scholars based in United States, United Kingdom and Israel. Eugene Santos's co-authors include Eugene S. Santos, Solomon Eyal Shimony, John Wilkinson, Eunice E. Santos, Hien Nguyen, Scott M. Brown, Sheila B. Banks, Deqing Li, Eunice E. Santos and Peter B. Luh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Eugene Santos

129 papers receiving 925 citations

Author Peers

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

Author Last Decade Papers Cites
Eugene Santos 620 209 169 164 146 136 1.0k
Marie desJardins 654 1.1× 78 0.4× 183 1.1× 89 0.5× 208 1.4× 97 1.2k
Andrea G. B. Tettamanzi 519 0.8× 179 0.9× 64 0.4× 157 1.0× 68 0.5× 87 891
Sabrina Senatore 610 1.0× 167 0.8× 129 0.8× 121 0.7× 332 2.3× 92 1.1k
Pietro Torasso 871 1.4× 163 0.8× 216 1.3× 59 0.4× 277 1.9× 65 1.2k
İsmail Hakkı Toroslu 313 0.5× 86 0.4× 156 0.9× 206 1.3× 307 2.1× 85 1.0k
Zbigniew W. Raś 564 0.9× 331 1.6× 113 0.7× 120 0.7× 384 2.6× 120 1.0k
Jesús Cerquides 403 0.7× 77 0.4× 246 1.5× 223 1.4× 122 0.8× 86 933
Yun Sing Koh 631 1.0× 144 0.7× 148 0.9× 90 0.5× 397 2.7× 83 982
Juan M. Fernández‐Luna 557 0.9× 79 0.4× 127 0.8× 139 0.8× 552 3.8× 84 1.1k
Lukáš Chrpa 742 1.2× 65 0.3× 118 0.7× 53 0.3× 123 0.8× 78 1.1k

Countries citing papers authored by Eugene Santos

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Santos

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Santos. A scholar is included among the top collaborators of Eugene Santos 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 Eugene Santos. Eugene Santos 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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