M. Mas

34 papers receiving 1.3k citations

Peers

M. Mas
Comparison fields: 5 of 53
  • Management Science and Operations Research 1.1k
  • Computational Theory and Mathematics 1.0k
  • Statistics and Probability 292
  • Artificial Intelligence 418
  • Numerical Analysis 38
Replace Daniel Ruiz-Aguilera with:
Daniel Ruiz-Aguilera Spain
M. Monserrat Spain
Siegfried Weber Germany
Michał Baczyński Poland
Junsheng Qiao China
Behnam Hashemi Iran
Irina Cristea Slovenia
Balasubramaniam Jayaram India
Ana Pradera Spain
Norbert Gaffke Germany
M. Mas relative to Daniel Ruiz-Aguilera Spain Daniel Ruiz-Aguilera's profile →
Citations per field
00.5×1.6×
Daniel Ruiz-Aguilera · 1×
Citations per year

Countries citing papers authored by M. Mas

Since Specialization
Citations

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

Fields of papers citing papers by M. Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M. Mas, 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 M. Mas Line = papers co-authored together M. Mas 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 2007240
2 1999144
3 2002109
4 201471
5 200271
6 201571
7 199956
8 200753
9
QL-implications versus D-implications
200652
10 200445
11 201345
12 200741
13 200938
14 200936
15
S-implications and $R$-implications on a finite chain
200433
16 200333
17 200131
18 200025
19 200521
20 200219

About M. Mas

M. Mas is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Applied Mathematics and Statistics and Probability, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (20 papers), Advanced Algebra and Logic (18 papers), Rough Sets and Fuzzy Logic (16 papers), Fuzzy and Soft Set Theory (9 papers), Fuzzy Logic and Control Systems (7 papers), Fuzzy Systems and Optimization (4 papers), Fixed Point Theorems Analysis (2 papers) and Matrix Theory and Algorithms (2 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Computational Theory and Mathematics (1.0k citations), Statistics and Probability (292 citations), Artificial Intelligence (418 citations) and Numerical Analysis (38 citations). M. Mas has collaborated with scholars based in Spain, Slovakia and United States. Frequent co-authors include Joan Torrens, M. Monserrat, Gaspar Mayor, Enric Trillas, Daniel Ruiz-Aguilera, Sebastià Massanet, M. Carbonell, Radko Mesiar, Jaume Suñer and Tomasa Calvo. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Approximate Reasoning, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, IEEE Transactions on Fuzzy Systems and Information Sciences.

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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