Fernando Bobillo

58 papers receiving 1.1k citations

Peers

Fernando Bobillo
Comparison fields: 5 of 88
  • Artificial Intelligence 892
  • Information Systems 383
  • Computational Theory and Mathematics 340
  • Signal Processing 247
  • Computer Vision and Pattern Recognition 128
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Christopher J. Matheus United States
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Citations per field
00.5×1.7×
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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-authorship network of co-authors of Fernando Bobillo

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Bobillo. A scholar is included among the top collaborators of Fernando Bobillo 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 Fernando Bobillo. Fernando Bobillo 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
#WorkIndexed citations
1 1
2 4
3 10
4 1
5 1
6
Couch potato or gym addict? Semantic lifestyle profiling with wearables and knowledge graphs.
3
7 8
8
A MILP-based Decision Procedure for the (Fuzzy) Description Logic ALCB.
1
9 19
10
General Concept Inclusion Absorptions for Fuzzy Description logics: A First Step.
1
11 206
12
Finite fuzzy description logics: a crisp representation for finite fuzzy ALCH
4
13
Tractability of the crisp representations of tractable fuzzy description logics
2
14 53
15 1
16
Fuzzy Descriptions Logics with Fuzzy Truth Values
3
17 38
18 64
19 73
20
Extending fuzzy description logics with a possibilistic layer
5

About Fernando Bobillo

Fernando Bobillo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (51 papers), Logic, Reasoning, and Knowledge (21 papers) and Service-Oriented Architecture and Web Services (20 papers). The work is most often cited by research in Artificial Intelligence (892 citations), Signal Processing (247 citations) and Computational Theory and Mathematics (340 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, Marı́a J. Martı́n-Bautista, M. Dolores Ruiz and Sergio Ilarri. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy 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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