Eugene Santos

1.6k citations
136 papers · 1.0k · h-index 17

Impact in

Papers in

Eugene Santos

129 papers receiving 928 citations

Peers

Eugene Santos
Comparison fields: 5 of 91
  • Artificial Intelligence 620
  • Management Science and Operations Research 164
  • Computational Theory and Mathematics 209
  • Signal Processing 88
  • Computer Networks and Communications 170
Replace Marc Denecker with:
Marc Denecker Belgium
Zbigniew W. Raś United States
Bert Huang United States
Venkatesh Srinivasan Canada
Pietro Torasso Italy
Omid Madani United States
Kristen Brent Venable Italy
Belén Díaz‐Agudo Spain
Luís G. Pérez Spain
Gideon Mann United States
Eugene Santos relative to Marc Denecker Belgium Marc Denecker's profile →
Citations per field
00.5×2.7×
Marc Denecker · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Eugene Santos, 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 Eugene Santos Line = papers co-authored together Eugene Santos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197695
2 199952
3 199448
4 201935
5 199934
6 197624
7 199623
8 199823
9 200322
10 201122
11 201119
12 201319
13
Bayesian Knowledge Fusion
200918
14 199618
15 201818
16 199717
17 201117
18 196916
19 202416
20 200415

About Eugene Santos

Eugene Santos is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Signal Processing, having authored 136 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (41 papers), Bayesian Modeling and Causal Inference (40 papers), Logic, Reasoning, and Knowledge (24 papers), Semantic Web and Ontologies (12 papers), Data Management and Algorithms (11 papers), Complex Network Analysis Techniques (9 papers), Constraint Satisfaction and Optimization (9 papers) and Rough Sets and Fuzzy Logic (9 papers). The work is most often cited by research in Artificial Intelligence (620 citations), Management Science and Operations Research (164 citations), Computational Theory and Mathematics (209 citations), Signal Processing (88 citations) and Computer Networks and Communications (170 citations). Eugene Santos has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Eugene S. Santos, Solomon Eyal Shimony, John Wilkinson, Hien Nguyen, Eunice E. Santos, Scott M. Brown, Deqing Li, Eunice E. Santos, Sheila B. Banks and Peter B. Luh. Their work appears in journals such as International Journal of Approximate Reasoning, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Information Sciences, Artificial Intelligence and IEEE Intelligent Systems.

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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