J. Jacas

24 papers receiving 393 citations

Peers

J. Jacas
Comparison fields: 5 of 27
  • Management Science and Operations Research 314
  • Computational Theory and Mathematics 361
  • Artificial Intelligence 190
  • Statistics and Probability 40
  • Signal Processing 19
Replace Dionís Boixader with:
Dionís Boixader Spain
Zhi-Lian Guo China
Zhudeng Wang China
Chun Yong Wang China
Sultan Yamak Türkiye
A. A. Azzam Saudi Arabia
Jaume Casasnovas Spain
Mohamed Abd El-Monsef Egypt
Paul Magrez Belgium
Qiu Jin China
J. Jacas relative to Dionís Boixader Spain Dionís Boixader's profile →
Citations per field
00.5×1.6×
Dionís Boixader · 1×
Citations per year

Countries citing papers authored by J. Jacas

Since Specialization
Citations

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

Fields of papers citing papers by J. Jacas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside J. Jacas, 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 J. Jacas Line = papers co-authored together J. Jacas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000120
2 199563
3 200332
4 199131
5 199430
6 199829
7 199928
8
On the generators of T-indistinguishability operator.
198826
9 200215
10 200014
11 200214
12 19979
13 20066
14 20035
15 20005
16 20024
17 20023
18 20023
19 20032
20 19992

About J. Jacas

J. Jacas is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology and Computational Mechanics, having authored 25 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (13 papers), Multi-Criteria Decision Making (12 papers), Fuzzy Logic and Control Systems (11 papers), Fuzzy and Soft Set Theory (10 papers), Rough Sets and Fuzzy Logic (9 papers), Advanced Numerical Analysis Techniques (2 papers), Fixed Point Theorems Analysis (2 papers) and Advanced Theoretical and Applied Studies in Material Sciences and Geometry (2 papers). The work is most often cited by research in Management Science and Operations Research (314 citations), Computational Theory and Mathematics (361 citations), Artificial Intelligence (190 citations), Statistics and Probability (40 citations) and Signal Processing (19 citations). J. Jacas has collaborated with scholars based in Spain and United States. Frequent co-authors include Jordi Recasens, Dionís Boixader, C. Alsina, Enric Trillas, Llorenç Valverde, Lluı́s Godo and Brittany Johnson. Their work appears in journals such as International Journal of Intelligent Systems, International Journal of Approximate Reasoning, Fuzzy Sets and Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Soft Computing.

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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