Diego Cazorla

414 citations
40 papers · 299 · h-index 10

Impact in

Papers in

Diego Cazorla

36 papers receiving 275 citations

Peers

Diego Cazorla
Comparison fields: 5 of 50
  • Computational Theory and Mathematics 85
  • Computer Networks and Communications 119
  • Software 18
  • Artificial Intelligence 98
  • Hardware and Architecture 20
Replace B. J. K. Evans with:
B. J. K. Evans Australia
Alberto José Proença Portugal
Michel de Rougemont France
John M. Boyer United States
Léonardo Brenner France
Qiwen Xu China
Andrea Formisano Italy
Carlos Olarte France
G. Piscitelli Italy
Michaël Krajecki France
Diego Cazorla relative to B. J. K. Evans Australia B. J. K. Evans's profile →
Citations per field
00.5×
B. J. K. Evans · 1×
Citations per year

Countries citing papers authored by Diego Cazorla

Since Specialization
Citations

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

Fields of papers citing papers by Diego Cazorla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200342
2 200729
3 200724
4 200818
5 201413
6 200913
7 201512
8 201712
9 201111
10 201110
11 20029
12 20059
13 20128
14 20018
15 20028
16 20118
17 20047
18 20067
19 20047
20 20155

About Diego Cazorla

Diego Cazorla is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 299 indexed citations. Recurring topics across this work include Formal Methods in Verification (16 papers), Petri Nets in System Modeling (12 papers), Advanced Authentication Protocols Security (6 papers), Meteorological Phenomena and Simulations (5 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Data Management and Algorithms (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Security in Wireless Sensor Networks (4 papers). The work is most often cited by research in Computational Theory and Mathematics (85 citations), Computer Networks and Communications (119 citations), Software (18 citations), Artificial Intelligence (98 citations) and Hardware and Architecture (20 citations). Diego Cazorla has collaborated with scholars based in Spain, Chile and Argentina. Frequent co-authors include Fernando Cuartero, Llanos Tobarra, Valentín Valero, Fernando L. Pelayo, Enrique Arias, M. Carmen Ruiz, Gregorio Dı́az, José L. Sánchez, M. Emilia Cambronero and Hermenegilda Macià. Their work appears in journals such as The Journal of Logic and Algebraic Programming, Bioinformatics, Remote Sensing, Applied Sciences and Lecture notes in computer science.

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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