Javier Vía

2.2k citations
106 papers · 1.6k · h-index 20

Impact in

    • Blind Source Separation Techniques
    • Direction-of-Arrival Estimation Techniques
    • Speech and Audio Processing
    • Distributed Sensor Networks and Detection Algorithms
    • Cognitive Radio Networks and Spectrum Sensing

Papers in

Javier Vía

104 papers receiving 1.5k citations

Peers

Javier Vía
Comparison fields: 5 of 88
  • Signal Processing 738
  • Computer Networks and Communications 470
  • Computational Mathematics 12
  • Computational Mechanics 376
  • Aerospace Engineering 320
Replace Peter J. Schreier with:
Peter J. Schreier Germany
Roberto López-Valcarce Spain
Ali Pezeshki United States
Shane F. Cotter United States
Yuantao Gu China
Yili Xia China
George N. Karystinos Greece
Z.-Q. Luo United States
Saeed Gazor Canada
V. Koivunen Finland
Javier Vía relative to Peter J. Schreier Germany Peter J. Schreier's profile →
Citations per field
00.5×1.5×
Peter J. Schreier · 1×
Citations per year

Countries citing papers authored by Javier Vía

Since Specialization
Citations

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

Fields of papers citing papers by Javier Vía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011138
2 2006122
3 2010115
4 200685
5 201081
6 201072
7 200758
8 201156
9 200737
10 201336
11 200631
12 200831
13 200530
14 201727
15 201026
16 201526
17 200724
18 201024
19 200822
20 200821

About Javier Vía

Javier Vía is a scholar working on Signal Processing, Computer Networks and Communications, Electrical and Electronic Engineering, Computational Mechanics and Artificial Intelligence, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (65 papers), Distributed Sensor Networks and Detection Algorithms (23 papers), Advanced Wireless Communication Techniques (23 papers), Advanced MIMO Systems Optimization (21 papers), Advanced Adaptive Filtering Techniques (14 papers), Neural Networks and Applications (14 papers), Cognitive Radio Networks and Spectrum Sensing (14 papers) and Wireless Communication Networks Research (12 papers). The work is most often cited by research in Signal Processing (738 citations), Computer Networks and Communications (470 citations), Computational Mathematics (12 citations), Computational Mechanics (376 citations) and Aerospace Engineering (320 citations). Javier Vía has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Ignacio Santamarı́a, David Ramírez, J. Pérez, Steven Van Vaerenbergh, Louis L. Scharf, Luis Vielva, Roberto López-Valcarce, Gonzalo Vazquez-Vilar, Daniel P. Palomar and V́ıctor Elvira. Their work appears in journals such as IEEE Transactions on Signal Processing, EURASIP Journal on Wireless Communications and Networking, Signal Processing, IEEE Transactions on Information Theory and Wireless Communications and Mobile Computing.

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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