Javier Carbó

890 total citations
46 papers, 403 citations indexed

About

Javier Carbó is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Javier Carbó has authored 46 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 17 papers in Sociology and Political Science and 16 papers in Computer Networks and Communications. Recurrent topics in Javier Carbó's work include Multi-Agent Systems and Negotiation (14 papers), Access Control and Trust (14 papers) and Context-Aware Activity Recognition Systems (8 papers). Javier Carbó is often cited by papers focused on Multi-Agent Systems and Negotiation (14 papers), Access Control and Trust (14 papers) and Context-Aware Activity Recognition Systems (8 papers). Javier Carbó collaborates with scholars based in Spain, France and Greece. Javier Carbó's co-authors include José M. Molina, Jorge Dávila, David Griol, Nayat Sánchez-Pi, Agustín Orfila, Arturo Ribagorda, Jesús Garcı́a, Miguel Á. Patricio, Mario Gómez and Clara Benac Earle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Knowledge-Based Systems.

In The Last Decade

Javier Carbó

41 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Carbó Spain 11 229 125 115 112 66 46 403
Enrico Corradini Italy 14 177 0.8× 95 0.8× 91 0.8× 114 1.0× 58 0.9× 40 454
Osnat Mokryn Israel 13 144 0.6× 76 0.6× 184 1.6× 141 1.3× 46 0.7× 50 490
Larry Bunch United States 10 197 0.9× 147 1.2× 137 1.2× 186 1.7× 28 0.4× 30 424
Maunendra Sankar Desarkar India 12 313 1.4× 115 0.9× 73 0.6× 236 2.1× 59 0.9× 53 534
Wolfgang Woerndl Germany 13 140 0.6× 79 0.6× 160 1.4× 269 2.4× 142 2.2× 33 516
Panos Kostakos Finland 13 158 0.7× 58 0.5× 148 1.3× 93 0.8× 25 0.4× 47 431
Marthie Grobler Australia 12 164 0.7× 117 0.9× 103 0.9× 310 2.8× 44 0.7× 92 535
Jean-Marc Seigneur Switzerland 13 213 0.9× 294 2.4× 309 2.7× 256 2.3× 52 0.8× 70 668
Kostas Stathis United Kingdom 13 263 1.1× 51 0.4× 111 1.0× 69 0.6× 90 1.4× 78 471
Hmood Al-Dossari Saudi Arabia 15 451 2.0× 57 0.5× 148 1.3× 314 2.8× 38 0.6× 38 732

Countries citing papers authored by Javier Carbó

Since Specialization
Citations

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

Fields of papers citing papers by Javier Carbó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Carbó

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Carbó. A scholar is included among the top collaborators of Javier Carbó 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 Javier Carbó. Javier Carbó 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.
Carbó, Javier, et al.. (2024). Agents preserving privacy on intelligent transportation systems according to EU law. Artificial Intelligence and Law. 33(2). 437–470. 1 indexed citations
2.
Dimou, Anastasios, et al.. (2021). Towards Unsupervised Knowledge Extraction. e-Archivo (Carlos III University of Madrid). 1 indexed citations
3.
Carbó, Javier, et al.. (2016). Electronic institutions and neural computing providing law-compliance privacy for trusting agents. Journal of Applied Logic. 24. 119–131.
4.
Carbó, Javier, et al.. (2014). The awareness of Privacy issues in Ambient Intelligence. ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL. 3(9). 71–71. 1 indexed citations
5.
Griol, David, Javier Carbó, & José M. Molina. (2013). AN AUTOMATIC DIALOG SIMULATION TECHNIQUE TO DEVELOP AND EVALUATE INTERACTIVE CONVERSATIONAL AGENTS. Applied Artificial Intelligence. 27(9). 759–780. 61 indexed citations
6.
Gómez, Mario, Jordi Sabater-Mir, Javier Carbó, & Guillaume Müller. (2010). Improving the ART-Testbed, thoughts and reflections. 2 indexed citations
7.
Mangina, Eleni, Javier Carbó, & José M. Molina. (2010). Agent-Based Ubiquitous Computing. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 14 indexed citations
8.
Carbó, Javier & José M. Molina. (2009). An extension of a fuzzy reputation agent trust model (AFRAS) in the ART testbed. Soft Computing. 14(8). 821–831. 9 indexed citations
9.
Carbó, Javier & José M. Molina. (2009). A JADE-Based ART-Inspired Ontology and Protocols for Handling Trust and Reputation. 300–305. 1 indexed citations
10.
Carbó, Javier, Mario Gómez, & Clara Benac Earle. (2008). A cognitive trust and reputation model for the ART testbed. INTELIGENCIA ARTIFICIAL. 12(39). 2 indexed citations
11.
Gómez, Mario, Javier Carbó, & Clara Benac Earle. (2007). Honesty and trust revisited: the advantages of being neutral about other’s cognitive models. Autonomous Agents and Multi-Agent Systems. 15(3). 313–335. 12 indexed citations
12.
Orfila, Agustín, Javier Carbó, & Arturo Ribagorda. (2007). Autonomous decision on intrusion detection with trained BDI agents. Computer Communications. 31(9). 1803–1813. 12 indexed citations
13.
Carbó, Javier, José M. Molina, & Jorge Dávila. (2007). Avoiding Malicious Agents in E-Commerce Using Fuzzy Recommendations. Journal of Organizational Computing and Electronic Commerce. 17(2). 101–117. 6 indexed citations
14.
Sánchez-Pi, Nayat, et al.. (2006). Reputation in User Profiling for a Context-aware MultiAgent System.. 4 indexed citations
15.
Carbó, Javier, José M. Molina, & Jorge Dávila. (2005). Fuzzy referral based cooperation in social networks of agents. AI Communications. 18(1). 1–13. 16 indexed citations
16.
Orfila, Agustín, Javier Carbó, & Arturo Ribagorda. (2005). Intrusion Detection Effectiveness Improvement by a Multiagent System.. e-Archivo (Carlos III University of Madrid). 2. 1–6. 5 indexed citations
17.
Carbó, Javier, José M. Molina, & Jorge Dávila. (2003). TRUST MANAGEMENT THROUGH FUZZY REPUTATION. International Journal of Cooperative Information Systems. 12(1). 135–155. 85 indexed citations
18.
Carbó, Javier & José M. Girón-Sierra. (2002). Fast and Secure Recommendation Protocols among Members of a Community of Agents. Electronic Notes in Theoretical Computer Science. 63. 17–28. 1 indexed citations
19.
Carbó, Javier, et al.. (2002). A BDI agent architecture for reasoning about reputation. 2. 817–822. 5 indexed citations
20.
Carbó, Javier, José M. Molina, & Jorge Dávila. (2002). Argumentative Negotiations with Anonymous Informer Agents. Information & Security An International Journal. 8. 194–206. 3 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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