Carlos Viegas Damásio

1.3k citations
31 papers · 270 indexed · h-index 9

Carlos Viegas Damásio

31 papers receiving 252 citations

Peers

Carlos Viegas Damásio
Comparison fields: 5 of 52
  • Artificial Intelligence 165
  • Computational Theory and Mathematics 59
  • Medical Laboratory Technology 4
  • Environmental Engineering 23
  • Software 6
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Countries citing papers authored by Carlos Viegas Damásio

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Viegas Damásio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Viegas Damásio. 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 Carlos Viegas Damásio. The network helps show where Carlos Viegas Damásio may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20194
2 201737
3 201529
4 20134
5 20131
6
Tabling for P-log probabilistic query evaluation.
20091
7
Representing Uncertainty in RuleML
20088
8
A principled framework for modular web rule bases and its semantics
20085
9 200618
10 20068
11 20057
12
A tabulation proof procedure for residuated logic programming
200411
13 200414
14
A declarative characterisation of disjunctive paraconsistent answer sets
20048
15
From rough sets to rough knowledge bases
20032
16 20025
17
Model-based diagnosis preferences and strategies representation with logic meta-programming
19954
18 199520
19
SLX—a top-down derivation procedure for programs with explicit negation
199411
20
Top-down query evaluation for well-founded semantics with explicit negation
19946

About Carlos Viegas Damásio

Carlos Viegas Damásio is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics, having authored 31 papers that have together received 270 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (14 papers), Semantic Web and Ontologies (14 papers), Logic, programming, and type systems (7 papers), Multi-Agent Systems and Negotiation (6 papers), Advanced Database Systems and Queries (6 papers), Advanced Algebra and Logic (6 papers), Service-Oriented Architecture and Web Services (5 papers) and Remote Sensing in Agriculture (3 papers). The work is most often cited by research in Artificial Intelligence (165 citations), Computational Theory and Mathematics (59 citations) and Medical Laboratory Technology (4 citations). Carlos Viegas Damásio has collaborated with scholars based in Portugal, Greece and United Kingdom. Frequent co-authors include Luı́s Moniz Pereira, Manuel Ojeda‐Aciego, Jesús Medina, João Moura Pires, José Júlio Alferes, Fernando J. T. E. Ferreira, Umberto Straccia, Grigoris Antoniou, Anastasia Analyti and Paulo Quaresma. Their work appears in journals such as International Journal of Remote Sensing, SIAM Journal on Computing and International Journal of Applied Earth Observation and Geoinformation.

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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