Inma P. Cabrera

524 total citations
47 papers, 293 citations indexed

About

Inma P. Cabrera is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Inma P. Cabrera has authored 47 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 16 papers in Management Science and Operations Research and 11 papers in Artificial Intelligence. Recurrent topics in Inma P. Cabrera's work include Advanced Algebra and Logic (24 papers), Rough Sets and Fuzzy Logic (23 papers) and Fuzzy and Soft Set Theory (14 papers). Inma P. Cabrera is often cited by papers focused on Advanced Algebra and Logic (24 papers), Rough Sets and Fuzzy Logic (23 papers) and Fuzzy and Soft Set Theory (14 papers). Inma P. Cabrera collaborates with scholars based in Spain, Belgium and Slovakia. Inma P. Cabrera's co-authors include Manuel Ojeda‐Aciego, Pablo Cordero, Guillermo M. Massanet, Antonio Galindo, Antonio González, Braulio M. Fraga, Jaime Bermejo, Bernard De Baets, Gloria Gutiérrez and Jesús Medina and has published in prestigious journals such as Tetrahedron, Phytochemistry and Information Sciences.

In The Last Decade

Inma P. Cabrera

44 papers receiving 276 citations

Peers

Inma P. Cabrera
Comparison fields: 5 of 46
  • Computational Theory and Mathematics 133
  • Management Science and Operations Research 88
  • Molecular Biology 87
  • Cancer Research 84
  • Artificial Intelligence 59
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Citations per field, relative to Inma P. Cabrera
Inma P. Cabrera · 1×
Citations per year, relative to Inma P. Cabrera
Inma P. Cabrera · 1×

Countries citing papers authored by Inma P. Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Inma P. Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inma P. Cabrera. 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 Inma P. Cabrera. The network helps show where Inma P. Cabrera may publish in the future.

Co-authorship network of co-authors of Inma P. Cabrera

This figure shows the co-authorship network connecting the top 25 collaborators of Inma P. Cabrera. A scholar is included among the top collaborators of Inma P. Cabrera 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 Inma P. Cabrera. Inma P. Cabrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 3
3 4
4 6
5 6
6
Exploratory Data Analysis of Multi-label Classification Tasks with Formal Context Analysis.
1
7
A Data Analysis Application of Formal Independence Analysis.
3
8 7
9 20
10
Relation-based Galois connections: towards the residual of a relation
0
11
Ordering objects via attribute preferences
1
12 7
13 4
14 3
15 3
16 9
17 3
18 4
19 34
20 19

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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