J. Recasens

1.8k total citations
78 papers, 642 citations indexed

About

J. Recasens is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, J. Recasens has authored 78 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computational Theory and Mathematics, 56 papers in Management Science and Operations Research and 35 papers in Artificial Intelligence. Recurrent topics in J. Recasens's work include Multi-Criteria Decision Making (40 papers), Rough Sets and Fuzzy Logic (40 papers) and Advanced Algebra and Logic (39 papers). J. Recasens is often cited by papers focused on Multi-Criteria Decision Making (40 papers), Rough Sets and Fuzzy Logic (40 papers) and Advanced Algebra and Logic (39 papers). J. Recasens collaborates with scholars based in Spain and Türkiye. J. Recasens's co-authors include J. Jacas, D. Boixader, Mustafa Demirci, Sebastià Massanet, Joan Torrens, Tomasa Calvo, J. Aibar, Eva Armengol, José Luis González Andújar and A. Cirujeda and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

J. Recasens

72 papers receiving 601 citations

Peers

J. Recasens
Comparison fields: 5 of 52
  • Computational Theory and Mathematics 485
  • Management Science and Operations Research 459
  • Artificial Intelligence 250
  • Statistics and Probability 58
  • Signal Processing 36
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Citations per field, relative to J. Recasens
J. Recasens · 1×
Citations per year, relative to J. Recasens
J. Recasens · 1×

Countries citing papers authored by J. Recasens

Since Specialization
Citations

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

Fields of papers citing papers by J. Recasens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Recasens

This figure shows the co-authorship network connecting the top 25 collaborators of J. Recasens. A scholar is included among the top collaborators of J. Recasens 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 J. Recasens. J. Recasens 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
# Work Indexed citations
1 3
2 6
3 25
4 18
5 1
6 2
7 1
8
Transitive Closure of Interval-valued Relations
4
9
Similarity Based Fuzzy Interpolation Applied to CAGD.
1
10
An algorithm to compute the transitive closure, a transitive approximation and a transitive opening of a fuzzy proximity
8
11 14
12 1
13
Finding close T-indistinguishability operators to a given proximity
1
14
Control del dolor postoperatorio en hemorroidectomía ambulatoria mediante infusión endovenosa continua domiciliaria
0
15 8
16
Growing decision trees in the presence of indistinguishability: observational decision trees.
1
17 4
18 1
19 2
20 26

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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