Daniel Díaz

46 papers receiving 661 citations

Peers

Daniel Díaz
Comparison fields: 5 of 58
  • Software 51
  • Computer Networks and Communications 207
  • Artificial Intelligence 261
  • Information Systems 177
  • Electrical and Electronic Engineering 305
Replace Ludovic Apvrille with:
Ludovic Apvrille France
Tu Peng China
Eric G. Manning Canada
Rong-Jaye Chen Taiwan
Ilaria Matteucci Italy
Wentao Wang China
Francesca Lonetti Italy
Stefan M. Petters Portugal
Yves Roudier France
Daniel Díaz relative to Ludovic Apvrille France Ludovic Apvrille's profile →
Citations per field
00.5×2.7×
Ludovic Apvrille · 1×
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009108
2 199689
3 201370
4 201335
5 201230
6 201129
7 201027
8 200926
9 200922
10 201221
11 201217
12 202216
13 201114
14 201014
15 201014
16 200713
17 202013
18 200812
19 200910
20 199610

About Daniel Díaz

Daniel Díaz is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Software, having authored 50 papers that have together received 701 indexed citations. Recurring topics across this work include Advanced Power Amplifier Design (12 papers), Advanced DC-DC Converters (11 papers), Radio Frequency Integrated Circuit Design (9 papers), Constraint Satisfaction and Optimization (8 papers), Model-Driven Software Engineering Techniques (8 papers), Advanced Software Engineering Methodologies (6 papers), Access Control and Trust (5 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Software (51 citations), Computer Networks and Communications (207 citations), Artificial Intelligence (261 citations), Information Systems (177 citations) and Electrical and Electronic Engineering (305 citations). Daniel Díaz has collaborated with scholars based in Spain, France and Japan. Frequent co-authors include Philippe Codognet, J.A. Cobos, P. Alou, O. García, J. A. Oliver, Miroslav Vasić, Camille Salinesi, Camille Salinesi, Vicente Pelechano and Germán H. Alférez. Their work appears in journals such as IEEE Transactions on Power Electronics, Theory and Practice of Logic Programming, The Journal of Logic Programming, IEEE Communications Letters and IEEE Computational Intelligence Magazine.

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.

Explore authors with similar magnitude of impact