Felisa Verdejo

214 total papers · 3.5k total citations
100 papers, 1.5k citations indexed

About

Felisa Verdejo is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Felisa Verdejo has authored 100 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 27 papers in Computer Science Applications and 21 papers in Information Systems. Recurrent topics in Felisa Verdejo's work include Natural Language Processing Techniques (38 papers), Topic Modeling (35 papers) and Semantic Web and Ontologies (26 papers). Felisa Verdejo is often cited by papers focused on Natural Language Processing Techniques (38 papers), Topic Modeling (35 papers) and Semantic Web and Ontologies (26 papers). Felisa Verdejo collaborates with scholars based in Spain, Myanmar and United States. Felisa Verdejo's co-authors include Julio Gonzalo, Enrique Amigó, Javier Artiles, Irina Chugur, Anselmo Peñas, Juan Cigarrán, Beatríz Barros, Manuel Ortega, Miguel Á. Redondo and Crescencio Bravo and has published in prestigious journals such as Computers & Education, International Journal of Human-Computer Studies and Information Processing & Management.

In The Last Decade

Felisa Verdejo

92 papers receiving 1.3k citations

Hit Papers

A comparison of extrinsic... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Felisa Verdejo 995 412 172 165 120 100 1.5k
Roger Nkambou 940 0.9× 721 1.8× 215 1.3× 209 1.3× 148 1.2× 101 1.7k
Jan M. Żytkow 818 0.8× 362 0.9× 71 0.4× 89 0.5× 169 1.4× 69 1.7k
Keeley Crockett 1.2k 1.2× 371 0.9× 268 1.6× 86 0.5× 55 0.5× 112 1.7k
Siu Cheung Hui 1.1k 1.1× 441 1.1× 75 0.4× 240 1.5× 95 0.8× 93 1.6k
Chris Welty 1.2k 1.2× 377 0.9× 178 1.0× 158 1.0× 76 0.6× 52 1.5k
Helen Ashman 653 0.7× 617 1.5× 170 1.0× 150 0.9× 187 1.6× 83 1.5k
Daniela Godoy 508 0.5× 694 1.7× 128 0.7× 114 0.7× 66 0.6× 91 1.3k
Bert Huang 766 0.8× 176 0.4× 160 0.9× 229 1.4× 95 0.8× 50 1.3k
Qi Liu 1.5k 1.5× 447 1.1× 588 3.4× 221 1.3× 66 0.6× 142 2.0k
Ioannis Hatzilygeroudis 866 0.9× 341 0.8× 249 1.4× 166 1.0× 47 0.4× 142 1.5k

Countries citing papers authored by Felisa Verdejo

Since Specialization
Citations

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

Fields of papers citing papers by Felisa Verdejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felisa Verdejo

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

All Works

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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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