Carlos Viegas Damásio

1.3k total citations
31 papers, 270 citations indexed

About

Carlos Viegas Damásio is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Carlos Viegas Damásio has authored 31 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Carlos Viegas Damásio's work include Logic, Reasoning, and Knowledge (14 papers), Semantic Web and Ontologies (14 papers) and Logic, programming, and type systems (7 papers). Carlos Viegas Damásio is often cited by papers focused on Logic, Reasoning, and Knowledge (14 papers), Semantic Web and Ontologies (14 papers) and Logic, programming, and type systems (7 papers). Carlos Viegas Damásio collaborates with scholars based in Portugal, Greece and United Kingdom. Carlos Viegas Damásio's co-authors include Luı́s Moniz Pereira, Manuel Ojeda‐Aciego, Jesús Medina, João Moura Pires, José Júlio Alferes, Umberto Straccia, Fernando J. T. E. Ferreira, Grigoris Antoniou, Anastasia Analyti and Paulo Quaresma and has published in prestigious journals such as International Journal of Remote Sensing, SIAM Journal on Computing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Carlos Viegas Damásio

31 papers receiving 252 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlos Viegas Damásio Portugal 9 165 59 35 33 31 31 270
William B. Yates United Kingdom 7 176 1.1× 23 0.4× 32 0.9× 11 0.3× 21 0.7× 12 344
Lionel Valet France 8 71 0.4× 17 0.3× 13 0.4× 15 0.5× 15 0.5× 21 282
Md. Nasim Adnan Australia 9 106 0.6× 24 0.4× 49 1.4× 26 0.8× 7 0.2× 23 248
Ming-Da Lu Taiwan 5 181 1.1× 18 0.3× 30 0.9× 13 0.4× 18 0.6× 9 324
Amauri H. Souza Brazil 9 214 1.3× 12 0.2× 41 1.2× 12 0.4× 14 0.5× 22 335
Fuling Bian China 8 76 0.5× 17 0.3× 70 2.0× 40 1.2× 8 0.3× 78 293
Kevin Sim United Kingdom 10 166 1.0× 49 0.8× 5 0.1× 35 1.1× 24 0.8× 26 312
Vincent Hwang United States 10 123 0.7× 17 0.3× 34 1.0× 44 1.3× 8 0.3× 21 358
Alexander Borisov United States 6 123 0.7× 22 0.4× 28 0.8× 11 0.3× 13 0.4× 12 278

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 of co-authors of Carlos Viegas Damásio

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Viegas Damásio. A scholar is included among the top collaborators of Carlos Viegas Damásio 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 Carlos Viegas Damásio. Carlos Viegas Damásio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Ferreira, Fernando J. T. E., et al.. (2017). Stator winding short-circuit fault diagnosis in induction motors using random forest. 1–8. 37 indexed citations
3.
Silva, José Marques da, et al.. (2015). Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature. International Journal of Applied Earth Observation and Geoinformation. 38. 40–50. 29 indexed citations
4.
Analyti, Anastasia, et al.. (2013). A framework for modular ERDF ontologies. Annals of Mathematics and Artificial Intelligence. 67(3-4). 189–249. 4 indexed citations
5.
Damásio, Carlos Viegas, et al.. (2013). Improving tag-based image search by using linked open data. 21–24. 1 indexed citations
6.
Damásio, Carlos Viegas. (2009). Tabling for P-log probabilistic query evaluation.. 115–126. 1 indexed citations
7.
Damásio, Carlos Viegas, Jeff Z. Pan, Giorgos Stoilos, & Umberto Straccia. (2008). Representing Uncertainty in RuleML. Fundamenta Informaticae. 82(3). 265–288. 8 indexed citations
8.
Analyti, Anastasia, Grigoris Antoniou, & Carlos Viegas Damásio. (2008). A principled framework for modular web rule bases and its semantics. 390–400. 5 indexed citations
9.
Damásio, Carlos Viegas, Jesús Medina, & Manuel Ojeda‐Aciego. (2006). Termination of logic programs with imperfect information: applications and query procedure. Journal of Applied Logic. 5(3). 435–458. 18 indexed citations
10.
Damásio, Carlos Viegas, Jesús Medina, & Manuel Ojeda‐Aciego. (2006). A Tabulation Proof Procedure for First-order Residuated Logic Programs: Soundness, Completeness and Optimizations. 2004–2011. 8 indexed citations
11.
Damásio, Carlos Viegas, Jeff Z. Pan, Giorgos Stoilos, & Umberto Straccia. (2006). An Approach to Representing Uncertainty Rules in RuleML. ISTI Open Portal. 97–106. 6 indexed citations
12.
Damásio, Carlos Viegas, Jesús Medina, & Manuel Ojeda‐Aciego. (2004). A tabulation proof procedure for residuated logic programming. European Conference on Artificial Intelligence. 808–812. 11 indexed citations
13.
Damásio, Carlos Viegas, et al.. (2004). An encompassing framework for Paraconsistent Logic Programs. Journal of Applied Logic. 3(1). 67–95. 14 indexed citations
14.
Damásio, Carlos Viegas, et al.. (2004). A declarative characterisation of disjunctive paraconsistent answer sets. 953–954. 8 indexed citations
15.
Damásio, Carlos Viegas, et al.. (2003). From rough sets to rough knowledge bases. Fundamenta Informaticae. 57(2). 215–246. 2 indexed citations
16.
Damásio, Carlos Viegas & Luı́s Moniz Pereira. (2002). Hybrid Probabilistic Logic Programs as Residuated Logic Programs. Studia Logica. 72(1). 113–138. 5 indexed citations
17.
Damásio, Carlos Viegas, Wolfgang Nejdl, Luı́s Moniz Pereira, & Michael Schroeder. (1995). Model-based diagnosis preferences and strategies representation with logic meta-programming. MIT Press eBooks. 267–307. 4 indexed citations
18.
Alferes, José Júlio, Carlos Viegas Damásio, & Luı́s Moniz Pereira. (1995). A logic programming system for nonmonotonic reasoning. Journal of Automated Reasoning. 14(1). 93–147. 20 indexed citations
19.
Alferes, José Júlio, Carlos Viegas Damásio, & Luı́s Moniz Pereira. (1994). SLX—a top-down derivation procedure for programs with explicit negation. International Conference on Logic Programming. 424–438. 11 indexed citations
20.
Alferes, José Júlio, Carlos Viegas Damásio, & Luı́s Moniz Pereira. (1994). Top-down query evaluation for well-founded semantics with explicit negation. European Conference on Artificial Intelligence. 140–144. 6 indexed citations

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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