Diego Cazorla

410 citations
30 papers · 199 indexed · h-index 9

Impact in

Papers in

Diego Cazorla

29 papers receiving 179 citations

Peers

Diego Cazorla
Comparison fields: 5 of 51
  • Computer Networks and Communications 76
  • Computational Theory and Mathematics 47
  • Software 9
  • Hardware and Architecture 15
  • Artificial Intelligence 68
Replace B. J. K. Evans with:
B. J. K. Evans Australia
Qiwen Xu China
Blaise Genest France
G. Piscitelli Italy
Gheorghe Ştefănescu Romania
Oliver Ray United Kingdom
Sébastien Jourdain United States
Sergey Berezin United States
Denivaldo Lopes Brazil
Keith R. Milliken United States
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200328
2 200728
3 200818
4 201413
5 200912
6 201512
7 201711
8 201111
9 20118
10 20027
11 20016
12 20065
13 20025
14
FORMAL VERIFICATION OF TLS HANDSHAKE AND EXTENSIONS FOR WIRELESS NETWORKS
20064
15 20204
16 20153
17
PROMESPAR: A Parallel Implementation Of The Regional Atmospheric Model PROMES
20093
18 20033
19 20232
20 20072

About Diego Cazorla

Diego Cazorla is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Information Systems, Artificial Intelligence and Atmospheric Science, having authored 30 papers that have together received 199 indexed citations. Recurring topics across this work include Formal Methods in Verification (12 papers), Petri Nets in System Modeling (8 papers), Advanced Authentication Protocols Security (4 papers), Meteorological Phenomena and Simulations (4 papers), Precipitation Measurement and Analysis (3 papers), Security in Wireless Sensor Networks (3 papers), Embedded Systems Design Techniques (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Networks and Communications (76 citations), Computational Theory and Mathematics (47 citations), Software (9 citations), Hardware and Architecture (15 citations) and Artificial Intelligence (68 citations). Diego Cazorla has collaborated with scholars based in Spain, Chile and Slovakia. Frequent co-authors include Fernando Cuartero, Llanos Tobarra, Valentín Valero, Fernando L. Pelayo, M. Carmen Ruiz, Enrique Arias, José L. Sánchez, Raúl Moreno, Gregorio Dı́az and M. Emilia Cambronero. Their work appears in journals such as The Journal of Logic and Algebraic Programming, Applied Sciences, Remote Sensing, Bioinformatics and The Journal of Supercomputing.

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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