Susana Díaz

74 total papers · 510 total citations
43 papers, 313 citations indexed

About

Susana Díaz is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Susana Díaz has authored 43 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Management Science and Operations Research, 25 papers in Computational Theory and Mathematics and 20 papers in Statistics and Probability. Recurrent topics in Susana Díaz's work include Multi-Criteria Decision Making (36 papers), Fuzzy Systems and Optimization (20 papers) and Advanced Algebra and Logic (17 papers). Susana Díaz is often cited by papers focused on Multi-Criteria Decision Making (36 papers), Fuzzy Systems and Optimization (20 papers) and Advanced Algebra and Logic (17 papers). Susana Díaz collaborates with scholars based in Spain, Belgium and Slovakia. Susana Díaz's co-authors include Susana Montes, Bernard De Baets, Davide Martinetti, Ignacio Montes, Esteban Induráin, José Luis Garcı́a-Lapresta, José Carlos R. Alcantud, H. De Meyer, Emilio Torres-Manzanera and Alfonso Vidal‐Casariego and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Susana Díaz

40 papers receiving 306 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Susana Díaz 233 167 90 71 34 43 313
Roberto Ricci 233 1.0× 93 0.6× 108 1.2× 55 0.8× 26 0.8× 39 357
Andrea Stupňanová 263 1.1× 124 0.7× 166 1.8× 68 1.0× 23 0.7× 31 356
Tamás Szántai 115 0.5× 25 0.1× 103 1.1× 50 0.7× 30 0.9× 25 333
Slávka Bodjanová 189 0.8× 123 0.7× 119 1.3× 88 1.2× 8 0.2× 23 319
Renato Pelessoni 166 0.7× 87 0.5× 80 0.9× 192 2.7× 21 0.6× 31 312
B. Abraham 110 0.5× 64 0.4× 134 1.5× 20 0.3× 94 2.8× 21 307
Davide Petturiti 132 0.6× 75 0.4× 42 0.5× 168 2.4× 11 0.3× 41 260
M. C. Spruill 71 0.3× 42 0.3× 128 1.4× 67 0.9× 36 1.1× 28 264
Ralf Werner 209 0.9× 104 0.6× 47 0.5× 18 0.3× 107 3.1× 25 343
Antonio Irpino 46 0.2× 40 0.2× 48 0.5× 148 2.1× 6 0.2× 22 326

Countries citing papers authored by Susana Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Susana Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susana Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Susana Díaz. A scholar is included among the top collaborators of Susana Díaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susana Díaz. Susana Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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