D. Boixader

472 citations
33 papers · 216 · h-index 8

Impact in

Papers in

D. Boixader

29 papers receiving 201 citations

Peers

D. Boixader
Comparison fields: 5 of 25
  • Computational Theory and Mathematics 181
  • Management Science and Operations Research 137
  • Artificial Intelligence 87
  • Statistics and Probability 19
  • Signal Processing 13
Replace J. Jacas with:
J. Jacas Spain
Paul Magrez Belgium
S. Yamak Türkiye
Ingo Glöckner Germany
Tiago da Cruz Asmus Brazil
Milan Daniel Czechia
Susana Cubillo Spain
Laurent Ughetto France
D. Dubois United States
O. Kazancı Türkiye
D. Boixader relative to J. Jacas Spain J. Jacas's profile →
Citations per field
00.5×1.5×2.3×
J. Jacas · 1×
Citations per year

Countries citing papers authored by D. Boixader

Since Specialization
Citations

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

Fields of papers citing papers by D. Boixader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside D. Boixader, 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 D. Boixader Line = papers co-authored together D. Boixader links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200091
2 199822
3
Some properties concerning the quasi-inverse of a t-norm
199810
4 20018
5 20188
6 20187
7 20177
8 20177
9 20217
10 20026
11 20095
12 20175
13 20154
14 20183
15 20123
16 20023
17 20023
18 19992
19 20082
20 20102

About D. Boixader

D. Boixader is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Signal Processing and Control and Systems Engineering, having authored 33 papers that have together received 216 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (18 papers), Advanced Algebra and Logic (18 papers), Rough Sets and Fuzzy Logic (17 papers), Fuzzy Logic and Control Systems (16 papers), Fuzzy and Soft Set Theory (12 papers), Data Management and Algorithms (2 papers), Fuzzy Systems and Optimization (1 paper) and Seismology and Earthquake Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (181 citations), Management Science and Operations Research (137 citations), Artificial Intelligence (87 citations), Statistics and Probability (19 citations) and Signal Processing (13 citations). D. Boixader has collaborated with scholars based in Spain. Frequent co-authors include J. Recasens, J. Jacas, Eva Armengol, Francisco Grimaldo and Gaspar Mayor. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Information Sciences, International Journal of Approximate Reasoning and Journal of Applied Logic.

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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