Pere Vilà

2.5k citations
45 papers · 210 · h-index 8

Impact in

Papers in

Pere Vilà

40 papers receiving 195 citations

Peers

Pere Vilà
Comparison fields: 5 of 65
  • Computer Networks and Communications 109
  • Health Informatics 6
  • Communication 15
  • Statistical and Nonlinear Physics 22
  • Safety Research 13
Replace Yvonne Anne Oswald with:
Yvonne Anne Oswald Switzerland
Satish Anamalamudi India
Jungseul Ok South Korea
Wanlun Ma Australia
Brice Augustin France
Marie‐José Montpetit United States
Eugene Bagdasaryan United States
Nguyen Trung Hieu Finland
Hongyu Gao China
Alberto Blanc France
Pere Vilà relative to Yvonne Anne Oswald Switzerland Yvonne Anne Oswald's profile →
Citations per field
00.5×10×20×27×
Yvonne Anne Oswald · 1×
Citations per year

Countries citing papers authored by Pere Vilà

Since Specialization
Citations

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

Fields of papers citing papers by Pere Vilà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202138
2 200819
3 201018
4 201514
5 200811
6 20178
7 20148
8 20047
9 20236
10 20126
11
Modelling spreading of failures in GMPLS-based networks
20105
12 20145
13 20115
14 20075
15
Green routing algorithm for Wireless Mesh Network: A multi-objective evolutionary approach
20134
16 20234
17 20004
18 20144
19 20174
20 20033

About Pere Vilà

Pere Vilà is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Communication, having authored 45 papers that have together received 210 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (16 papers), Software-Defined Networks and 5G (16 papers), Advanced Optical Network Technologies (11 papers), Advanced Wireless Network Optimization (6 papers), Interconnection Networks and Systems (4 papers), Wireless Networks and Protocols (4 papers), Complex Network Analysis Techniques (3 papers) and Mobile Agent-Based Network Management (3 papers). The work is most often cited by research in Computer Networks and Communications (109 citations), Health Informatics (6 citations), Communication (15 citations), Statistical and Nonlinear Physics (22 citations) and Safety Research (13 citations). Pere Vilà has collaborated with scholars based in Spain, Switzerland and Colombia. Frequent co-authors include Santiago Tejedor, Eusebi Calle, José L. Marzo, Miguel Camelo, Yezid Donoso, Dimitri B. Papadimitriou, János Tapolcai, Jordi Ripoll, Ramón Fabregat and Marc Manzano. Their work appears in journals such as Computer Communications, IEEE Network, IEEE Communications Letters, Data in Brief and Discrete Applied Mathematics.

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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