Daniel Díaz

2.2k citations
77 papers · 1.1k · h-index 18

Impact in

Papers in

Daniel Díaz

72 papers receiving 1.0k citations

Peers

Daniel Díaz
Comparison fields: 5 of 64
  • Software 127
  • Computer Networks and Communications 411
  • Artificial Intelligence 513
  • Information Systems 245
  • Signal Processing 105
Replace Yosr Jarraya with:
Yosr Jarraya Canada
Jeremy Bryans United Kingdom
Slim Kallel Tunisia
Amardeo Sarma Portugal
Bjarne E. Helvik Norway
Rolando Trujillo-Rasúa Luxembourg
Ilaria Matteucci Italy
Jang‐Eui Hong South Korea
Avelino F. Zorzo Brazil
Basel A. Mahafzah Jordan
Daniel Díaz relative to Yosr Jarraya Canada Yosr Jarraya's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996127
2 2009111
3 201384
4 200173
5 201336
6 201234
7 199533
8 201228
9 201128
10 201027
11 200926
12 200924
13 201324
14 199423
15 202219
16 200319
17 201117
18 201217
19 201516
20 201416

About Daniel Díaz

Daniel Díaz is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Software and Information Systems, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (22 papers), Model-Driven Software Engineering Techniques (13 papers), Advanced Power Amplifier Design (12 papers), Advanced DC-DC Converters (11 papers), Radio Frequency Integrated Circuit Design (9 papers), Advanced Software Engineering Methodologies (8 papers), Distributed and Parallel Computing Systems (7 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Software (127 citations), Computer Networks and Communications (411 citations), Artificial Intelligence (513 citations), Information Systems (245 citations) and Signal Processing (105 citations). Daniel Díaz has collaborated with scholars based in France, Spain and Portugal. Frequent co-authors include Philippe Codognet, Salvador Abreu, O. García, J.A. Cobos, P. Alou, J. A. Oliver, Miroslav Vasić, Camille Salinesi, Raúl Mazo and Camille Salinesi. Their work appears in journals such as IEEE Transactions on Power Electronics, Lecture notes in computer science, Theory and Practice of Logic Programming, Constraints and The Journal of Logic Programming.

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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