Gustavo de Veciana

8.3k citations
216 papers · 5.8k indexed · 1 hit paper · h-index 37

Gustavo de Veciana

207 papers receiving 5.5k citations

Hit Papers

An information fidelity criterion for image quality asses...1.0k20052026201220192505007501000

Peers

Gustavo de Veciana
Comparison fields: 5 of 98
  • Computer Networks and Communications 3.8k
  • Media Technology 651
  • Computer Vision and Pattern Recognition 1.5k
  • Electrical and Electronic Engineering 2.7k
  • Management Information Systems 339
Replace Samir R. Das with:
Samir R. Das United States
Petri Mähönen Germany
Narayan B. Mandayam United States
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Gustavo de Veciana relative to Samir R. Das United States Samir R. Das's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gustavo de Veciana

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo de Veciana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gustavo de Veciana. 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 Gustavo de Veciana. The network helps show where Gustavo de Veciana may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20232
5 20235
6 202232
7 20224
8 20223
9 20225
10 20211
11 202011
12 202028
13 201993
14 20194
15 20187
16 201831
17 20181
18
Poly-symmetry in processor-sharing systems
20173
19
Network slicing games: Enabling customization in multi-tenant networks
201781
20 20175

About Gustavo de Veciana

Gustavo de Veciana is a scholar working on Computer Networks and Communications, Management Information Systems and Electrical and Electronic Engineering, having authored 216 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (69 papers), Network Traffic and Congestion Control (57 papers), Advanced MIMO Systems Optimization (51 papers), Cooperative Communication and Network Coding (33 papers), Wireless Networks and Protocols (32 papers), Mobile Ad Hoc Networks (29 papers), Wireless Communication Networks Research (28 papers) and Caching and Content Delivery (21 papers). The work is most often cited by research in Computer Networks and Communications (3.8k citations), Media Technology (651 citations) and Computer Vision and Pattern Recognition (1.5k citations). Gustavo de Veciana has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Alan C. Bovik, Hamid R. Sheikh, Xiangying Yang, Hongseok Kim, Albert Banchs, Pablo Caballero, Jean Walrand, Xavier Costa‐Pérez, Song Chong and Kyuho Son. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications and Computer Networks.

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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