José-Marı́a Serrano

31 papers receiving 436 citations

Peers

José-Marı́a Serrano
Comparison fields: 5 of 76
  • Information Systems 289
  • Computational Theory and Mathematics 167
  • Artificial Intelligence 319
  • Signal Processing 91
  • Accounting 60
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Countries citing papers authored by José-Marı́a Serrano

Since Specialization
Citations

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

Fields of papers citing papers by José-Marı́a Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José-Marı́a Serrano. 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 José-Marı́a Serrano. The network helps show where José-Marı́a Serrano may publish in the future.

Co-authors

The 21 scholars most cited alongside José-Marı́a Serrano, 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 José-Marı́a Serrano Line = papers co-authored together José-Marı́a Serrano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008172
2 200158
3 200735
4 201128
5 200328
6 200428
7 200817
8 200816
9 200814
10 200813
11 200413
12
Measuring Variation Strength in Gradual Dependencies.
20079
13
Association rule evaluation for classification purposes
20057
14
Analysis and characterization of olive tree cultivation system in Granada province (South of Spain) with optimal scaling and multivariate techniques
20056
15 20176
16
A survey of methods to evaluate quantified sentences
20005
17
Mining gracruardependencies with variation strength
20084
18 20194
19
Helping User to Discover Association Rules: A Case in Soil Color as Aggregation of Other Soil Properties.
20033
20
Introducción al pensamiento económico : una perspectiva española
19903

About José-Marı́a Serrano

José-Marı́a Serrano is a scholar working on Information Systems, Computational Theory and Mathematics, Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 34 papers that have together received 488 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (23 papers), Rough Sets and Fuzzy Logic (23 papers), Data Management and Algorithms (11 papers), Fuzzy Logic and Control Systems (7 papers), Semantic Web and Ontologies (4 papers), Horticultural and Viticultural Research (3 papers), Advanced Database Systems and Queries (3 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Information Systems (289 citations), Computational Theory and Mathematics (167 citations), Artificial Intelligence (319 citations), Signal Processing (91 citations) and Accounting (60 citations). José-Marı́a Serrano has collaborated with scholars based in Spain, Cuba and Chile. Frequent co-authors include Daniel Sánchez, M.A. Vila, Fernando Berzal, Juan-Carlos Cubero, Nicolás Marı́n, Carlos Molina, M. Dolores Ruiz, Marı́a J. Martı́n-Bautista, Ignacio J. Blanco and Miguel Delgado‐Rodríguez. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, Data Mining and Knowledge Discovery, Computers and Electronics in Agriculture and International Journal of Uncertainty Fuzziness and Knowledge-Based 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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