Fernando Agraz

877 citations
78 papers · 604 · h-index 12

Impact in

Papers in

Fernando Agraz

74 papers receiving 588 citations

Peers

Fernando Agraz
Comparison fields: 5 of 47
  • Computer Networks and Communications 317
  • Electrical and Electronic Engineering 484
  • Information Systems 72
  • Media Technology 10
  • Artificial Intelligence 29
Replace Jordi Perelló with:
Jordi Perelló Spain
Anu Mercian United States
Thomas Szyrkowiec Germany
Houman Rastegarfar United States
Giacomo Bernini Spain
Kundan Singh United States
Péter Babarczi Hungary
Sabidur Rahman United States
Bernard Cousin France
Juan Pedro Fernández-Palacios Spain
Fernando Agraz relative to Jordi Perelló Spain Jordi Perelló's profile →
Citations per field
00.5×1.7×
Jordi Perelló · 1×
Citations per year

Countries citing papers authored by Fernando Agraz

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Agraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010103
2 201149
3 201540
4 201539
5 201528
6 201027
7 201817
8 201017
9 201916
10 200913
11 202012
12 201511
13 201910
14 20109
15 20189
16 20208
17 20168
18 20117
19 20127
20 20157

About Fernando Agraz

Fernando Agraz is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 78 papers that have together received 604 indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (53 papers), Software-Defined Networks and 5G (42 papers), Advanced Photonic Communication Systems (39 papers), Optical Network Technologies (30 papers), Cloud Computing and Resource Management (11 papers), Network Traffic and Congestion Control (7 papers), IoT and Edge/Fog Computing (5 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (317 citations), Electrical and Electronic Engineering (484 citations), Information Systems (72 citations), Media Technology (10 citations) and Artificial Intelligence (29 citations). Fernando Agraz has collaborated with scholars based in Spain, United Kingdom and Netherlands. Frequent co-authors include Salvatore Spadaro, Jordi Perelló, Albert Pagès, Reza Nejabati, Dimitra Simeonidou, Giacomo Bernini, Gabriel Junyent, Nicola Calabretta, Luis Velasco and Siamak Azodolmolky. Their work appears in journals such as Journal of Optical Communications and Networking, Journal of Lightwave Technology, Computer Communications, Applied Sciences and Photonic Network Communications.

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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