Ana Pradera

34 papers receiving 591 citations

Peers

Ana Pradera
Comparison fields: 5 of 41
  • Management Science and Operations Research 487
  • Computational Theory and Mathematics 384
  • Statistics and Probability 175
  • Artificial Intelligence 260
  • Control and Systems Engineering 78
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Junsheng Qiao China
M. Monserrat Spain
Mikel Sesma‐Sara Spain
Ketty Peeva Bulgaria
Michal Holčapek Czechia
M. Mas Spain
Chao-Ming Hwang Taiwan
Daniel Ruiz-Aguilera Spain
Anestis G. Hatzimichailidis Greece
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Citations per field
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Citations per year

Countries citing papers authored by Ana Pradera

Since Specialization
Citations

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

Fields of papers citing papers by Ana Pradera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ana Pradera, 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 Ana Pradera Line = papers co-authored together Ana Pradera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013151
2 201385
3 201569
4 201048
5 201232
6 200224
7 201423
8
On MPT-implication functions for Fuzzy Logic
200420
9 200518
10 200316
11 200213
12 200512
13 201111
14 20119
15 20178
16 20107
17 20186
18
Aggregation, Non-Contradiction and Excluded-Middle
20066
19 20076
20 20185

About Ana Pradera

Ana Pradera is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Statistics and Probability and Control and Systems Engineering, having authored 35 papers that have together received 611 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (27 papers), Rough Sets and Fuzzy Logic (17 papers), Advanced Algebra and Logic (17 papers), Fuzzy Logic and Control Systems (10 papers), Fuzzy Systems and Optimization (9 papers), Logic, Reasoning, and Knowledge (3 papers), Optimization and Mathematical Programming (3 papers) and Fuzzy and Soft Set Theory (2 papers). The work is most often cited by research in Management Science and Operations Research (487 citations), Computational Theory and Mathematics (384 citations), Statistics and Probability (175 citations), Artificial Intelligence (260 citations) and Control and Systems Engineering (78 citations). Ana Pradera has collaborated with scholars based in Spain, Australia and Czechia. Frequent co-authors include Humberto Bustince, Gleb Beliakov, Enric Trillas, Aránzazu Jurío, Miguel Pagola, Ronald R. Yager, Tomasa Calvo, Bernard De Baets, Michał Baczyński and Humberto Bustince Sola. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, International Journal of General Systems and Kybernetika.

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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