Fernando Bobillo

71 papers receiving 1.6k citations

Peers

Fernando Bobillo
Comparison fields: 5 of 93
  • Artificial Intelligence 1.4k
  • Signal Processing 354
  • Computational Theory and Mathematics 496
  • Information Systems 548
  • Management Science and Operations Research 152
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Nicolás Marı́n Spain
Claudia d’Amato Italy
Christopher J. Matheus United States
Gholamreza Nakhaeizadeh Germany
Zhi‐Hong Deng China
O. P. Vyas India
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Bobillo

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Bobillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011248
2 2008196
3 200895
4 200984
5 201582
6 201070
7
DeLorean: A Reasoner for Fuzzy OWL 1.1
200967
8 200755
9 200846
10 200944
11 200942
12 201341
13 201240
14 200736
15 201535
16 201034
17 201529
18 201326
19 200822
20 201122

About Fernando Bobillo

Fernando Bobillo is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (61 papers), Logic, Reasoning, and Knowledge (28 papers), Service-Oriented Architecture and Web Services (23 papers), Rough Sets and Fuzzy Logic (23 papers), Data Management and Algorithms (14 papers), Natural Language Processing Techniques (8 papers), Context-Aware Activity Recognition Systems (7 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Signal Processing (354 citations), Computational Theory and Mathematics (496 citations), Information Systems (548 citations) and Management Science and Operations Research (152 citations). Fernando Bobillo has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Umberto Straccia, Juan Gómez‐Romero, Miguel Delgado‐Rodríguez, Eduardo Mena, Roberto Yus, Miguel Molina-Solana, M. Blanca Ros, M. Dolores Ruiz, Marı́a J. Martı́n-Bautista and Natalia Díaz-Rodríguez. Their work appears in journals such as Expert Systems with Applications, Fuzzy Sets and Systems, International Journal of Approximate Reasoning, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and International Journal on Semantic Web and Information Systems.

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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