Juan Cigarrán

647 total citations
13 papers, 234 citations indexed

About

Juan Cigarrán is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Juan Cigarrán has authored 13 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Information Systems. Recurrent topics in Juan Cigarrán's work include Rough Sets and Fuzzy Logic (5 papers), Semantic Web and Ontologies (4 papers) and Text and Document Classification Technologies (4 papers). Juan Cigarrán is often cited by papers focused on Rough Sets and Fuzzy Logic (5 papers), Semantic Web and Ontologies (4 papers) and Text and Document Classification Technologies (4 papers). Juan Cigarrán collaborates with scholars based in Spain and Myanmar. Juan Cigarrán's co-authors include Julio Gonzalo, Irina Chugur, Felisa Verdejo, Ana Garcı́a-Serrano, Esther de Ves, Johan Oomen, Antonio Navarro, Miguel Rodríguez‐Artacho, Víctor Fresno and Martha Larson and has published in prestigious journals such as Expert Systems with Applications, Future Generation Computer Systems and Educational Technology & Society.

In The Last Decade

Juan Cigarrán

13 papers receiving 204 citations

Peers

Juan Cigarrán
Comparison fields: 5 of 40
  • Artificial Intelligence 186
  • Information Systems 66
  • Computer Vision and Pattern Recognition 33
  • Computational Theory and Mathematics 24
  • Statistical and Nonlinear Physics 19
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Countries citing papers authored by Juan Cigarrán

Since Specialization
Citations

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

Fields of papers citing papers by Juan Cigarrán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Cigarrán

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 7
2 37
3 29
4
UNED @ Retrieving Diverse Social Images Task
7
5
An Integration Architecture of Virtual Campuses with External e-Learning Tools.
3
6
UNED @ CLEF-NEWSREEL 2014
1
7
Modelling Techniques for Twitter Contents: A Step beyond Classification based Approaches.
5
8
An architecture for retrieving and organizing web resources for didactic purposes
2
9
UNED at MediaEval 2011: Can Delicious help us to improve automatic video tagging?
1
10
UNED at MediaEval 2010: exploiting text metadata for Automatic Video Tagging
2
11
Proceedings of the ECDL 2008 Workshop on Information Access to Cultural Heritage
4
12
Using Standard Mark-Up in the Design and Development of Web Educational Software.
1
13
Indexing with WordNet synsets can improve text retrieval.
135

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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