Daniel Díaz-Sánchez

1.2k citations
76 papers · 906 · h-index 13

Impact in

Papers in

Daniel Díaz-Sánchez

70 papers receiving 863 citations

Peers

Daniel Díaz-Sánchez
Comparison fields: 5 of 89
  • Computer Networks and Communications 453
  • Information Systems 362
  • Computer Vision and Pattern Recognition 179
  • Signal Processing 85
  • Media Technology 63
Replace Mohamed Jamal Zemerly with:
Mohamed Jamal Zemerly United Arab Emirates
Rakesh Kumar Lenka India
Biao Song Saudi Arabia
Muhammad Usman Shahid Khan Pakistan
Niko Mäkitalo Finland
Selcuk Uluagac United States
Spyros Panagiotakis Greece
François Carrez United Kingdom
Choonhwa Lee South Korea
Mahmoud Elkhodr Australia
Daniel Díaz-Sánchez relative to Mohamed Jamal Zemerly United Arab Emirates Mohamed Jamal Zemerly's profile →
Citations per field
00.5×2×2.7×
Mohamed Jamal Zemerly · 1×
Citations per year

Countries citing papers authored by Daniel Díaz-Sánchez

Since Specialization
Citations

This map shows the geographic impact of Daniel Díaz-Sánchez'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-Sánchez 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-Sánchez more than expected).

Fields of papers citing papers by Daniel Díaz-Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016278
2 201170
3 201256
4 201742
5 201935
6 201731
7 201227
8 200923
9 200920
10 201217
11 201117
12 201915
13 201313
14 201512
15 201611
16 201911
17 201611
18 200610
19 202010
20 20079

About Daniel Díaz-Sánchez

Daniel Díaz-Sánchez is a scholar working on Computer Networks and Communications, Information Systems, Sociology and Political Science, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 906 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (16 papers), Caching and Content Delivery (14 papers), Context-Aware Activity Recognition Systems (14 papers), Cryptography and Data Security (11 papers), Multimedia Communication and Technology (11 papers), Access Control and Trust (11 papers), Cloud Data Security Solutions (9 papers) and Peer-to-Peer Network Technologies (8 papers). The work is most often cited by research in Computer Networks and Communications (453 citations), Information Systems (362 citations), Computer Vision and Pattern Recognition (179 citations), Signal Processing (85 citations) and Media Technology (63 citations). Daniel Díaz-Sánchez has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Andrés Marín, R. Simon Sherratt, Patricia Arias-Cabarcos, Florina Almenárez, Terence Hui, Davide Proserpio, Celeste Campo, Carlos García-Rubio, Christian Becker and Rosa María Galán Sánchez. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Computer Networks, Electronics, Sensors and Future Generation Computer Systems.

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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