Francisco J. Cazorla

6.0k citations
235 papers · 3.4k indexed · h-index 32
Topics
Parallel Computing and Optimization Techniques (157 papers)Real-Time Systems Scheduling (140 papers)Embedded Systems Design Techniques (94 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessACM Computing Surveys
Partner nations
SpainUnited StatesItaly

In The Last Decade

Francisco J. Cazorla

222 papers receiving 3.3k citations

Peers

Francisco J. Cazorla
Comparison fields: 5 of 67
  • Hardware and Architecture 2.9k
  • Computer Networks and Communications 1.8k
  • Electrical and Electronic Engineering 590
  • Information Systems 410
  • Artificial Intelligence 244
Replace Jaume Abella with:
Jaume Abella Spain
C.M. Krishna United States
Siva Kumar Sastry Hari United States
Per Stenström Sweden
Mikael Sjödin Sweden
William Fornaciari Italy
Binoy Ravindran United States
Adriano Valenzano Italy
Marc Geilen Netherlands
Gang Zeng Japan
Francisco J. Cazorla relative to Jaume Abella Spain Jaume Abella's profile →
Citations per field
00.5×4.4×
Jaume Abella · 1×
Citations per year

Countries citing papers authored by Francisco J. Cazorla

Since Specialization
Citations

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

Fields of papers citing papers by Francisco J. Cazorla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco J. Cazorla

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco J. Cazorla. A scholar is included among the top collaborators of Francisco J. Cazorla 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 Francisco J. Cazorla. Francisco J. Cazorla 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
#WorkIndexed citations
1 5
2 1
3 0
4 2
5 1
6 0
7 1
8 49
9 2
10 4
11 9
12 10
13 4
14 42
15 1
16 4
17 22
18 2
19 3
20 36

About Francisco J. Cazorla

Francisco J. Cazorla is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 235 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (157 papers), Real-Time Systems Scheduling (140 papers) and Embedded Systems Design Techniques (94 papers). The work is most often cited by research in Hardware and Architecture (2.9k citations), Computer Networks and Communications (1.8k citations) and Software (158 citations). Francisco J. Cazorla has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Jaume Abella, Mateo Valero, Eduardo Quiñones, Leonidas Kosmidis, Marco Paolieri, Tullio Vardanega, Guillem Bernat, Roberto Gioiosa, Miquel Moretó and Carles Hernández. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.

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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