J. Jacas

784 citations
26 papers · 393 · h-index 11

Impact in

Papers in

J. Jacas

26 papers receiving 359 citations

Peers

J. Jacas
Comparison fields: 5 of 24
  • Management Science and Operations Research 284
  • Computational Theory and Mathematics 315
  • Artificial Intelligence 164
  • Statistics and Probability 34
  • Signal Processing 20
Replace D. Boixader with:
D. Boixader Spain
Zhudeng Wang China
Satoko Titani Japan
Zhi-Lian Guo China
Loredana Biacino Italy
Kul Hur South Korea
El-Sayed A. Abo-Tabl Egypt
D. Dubois France
S. Yamak Türkiye
A. A. Azzam Egypt
J. Jacas relative to D. Boixader Spain D. Boixader's profile →
Citations per field
00.5×1.5×2.1×
D. 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 6 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200091
2 199554
3 200327
4 199426
5 199126
6
On the generators of T-indistinguishability operator.
198824
7 199923
8 199822
9 199018
10 200214
11 200213
12 200010
13 20018
14 19976
15 20065
16 20035
17 20004
18 20023
19 20023
20 20023

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 Signal Processing, having authored 26 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (14 papers), Multi-Criteria Decision Making (13 papers), Fuzzy Logic and Control Systems (11 papers), Fuzzy and Soft Set Theory (11 papers), Rough Sets and Fuzzy Logic (9 papers), Data Management and Algorithms (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 (284 citations), Computational Theory and Mathematics (315 citations), Artificial Intelligence (164 citations), Statistics and Probability (34 citations) and Signal Processing (20 citations). J. Jacas has collaborated with scholars based in Spain. Frequent co-authors include J. Recasens, D. Boixader, C. Alsina, Enric Trillas, Lluı́s Godo and Llorenç Valverde. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Intelligent Systems, International Journal of Approximate Reasoning, Soft Computing 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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