Joan‐Josep Climent

902 total citations
73 papers, 543 citations indexed

About

Joan‐Josep Climent is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joan‐Josep Climent has authored 73 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 29 papers in Computational Theory and Mathematics and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joan‐Josep Climent's work include Coding theory and cryptography (27 papers), Matrix Theory and Algorithms (18 papers) and graph theory and CDMA systems (14 papers). Joan‐Josep Climent is often cited by papers focused on Coding theory and cryptography (27 papers), Matrix Theory and Algorithms (18 papers) and graph theory and CDMA systems (14 papers). Joan‐Josep Climent collaborates with scholars based in Spain, United States and Brazil. Joan‐Josep Climent's co-authors include Leandro Tortosa, Alberto Sanfeliu, Néstor Thome, Yimin Wei, Francesc Serratosa, Avram Sidi, Diego Napp, René Alquézar, Michael Neumann and Josep María Vergès and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematics of Computation and Pattern Recognition.

In The Last Decade

Joan‐Josep Climent

66 papers receiving 518 citations

Peers

Joan‐Josep Climent
Comparison fields: 5 of 68
  • Computational Theory and Mathematics 216
  • Artificial Intelligence 196
  • Computer Vision and Pattern Recognition 173
  • Numerical Analysis 125
  • Electrical and Electronic Engineering 85
Replace Roland Hildebrand with:
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Roland Hildebrand France View profile →
Citations per field, relative to Joan‐Josep Climent
Joan‐Josep Climent · 1×
Citations per year, relative to Joan‐Josep Climent
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Countries citing papers authored by Joan‐Josep Climent

Since Specialization
Citations

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

Fields of papers citing papers by Joan‐Josep Climent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan‐Josep Climent. 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 Joan‐Josep Climent. The network helps show where Joan‐Josep Climent may publish in the future.

Co-authorship network of co-authors of Joan‐Josep Climent

This figure shows the co-authorship network connecting the top 25 collaborators of Joan‐Josep Climent. A scholar is included among the top collaborators of Joan‐Josep Climent 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 Joan‐Josep Climent. Joan‐Josep Climent 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 0
2 1
3 33
4 10
5 5
6 12
7 5
8 12
9 12
10 12
11 16
12
On the iterative construction of bent functions
2
13 2
14 4
15 34
16 2
17 15
18 37
19 31
20 0

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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