Davide Vega

55 total papers · 481 total citations
29 papers, 264 citations indexed

About

Davide Vega is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Davide Vega has authored 29 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Statistical and Nonlinear Physics and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Davide Vega's work include Complex Network Analysis Techniques (10 papers), Peer-to-Peer Network Technologies (10 papers) and Caching and Content Delivery (8 papers). Davide Vega is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Peer-to-Peer Network Technologies (10 papers) and Caching and Content Delivery (8 papers). Davide Vega collaborates with scholars based in Spain, Sweden and Chile. Davide Vega's co-authors include Roc Meseguer, Leandro Navarro, Llorenç Cerdà‐Alabern, Matteo Magnani, Á. Rodríguez, Luca Rossi, Luca Rossi, Roger Baig, Irina Shklovski and Fèlix Freitag and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Electron Devices and Journal of Statistical Software.

In The Last Decade

Davide Vega

27 papers receiving 257 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Davide Vega	136	48	43	32	30	29	264
William Hoiles	109 0.8×	65 1.4×	34 0.8×	7 0.2×	40 1.3×	18	266
Bo Wu	57 0.4×	51 1.1×	54 1.3×	8 0.3×	43 1.4×	27	302
E. Rogers	39 0.3×	57 1.2×	15 0.3×	18 0.6×	20 0.7×	28	318
Tianlong Ma	146 1.1×	57 1.2×	9 0.2×	60 1.9×	109 3.6×	34	283
Xuying Meng	70 0.5×	31 0.6×	65 1.5×	21 0.7×	12 0.4×	25	262
Lyudmila Balakireva	26 0.2×	18 0.4×	113 2.6×	16 0.5×	46 1.5×	20	301
Shaoqing Wang	107 0.8×	102 2.1×	61 1.4×	19 0.6×	10 0.3×	39	308
Margit Kristensen	22 0.2×	43 0.9×	26 0.6×	119 3.7×	20 0.7×	17	315
Iosif Androulidakis	73 0.5×	98 2.0×	118 2.7×	21 0.7×	5 0.2×	63	311
Yijian Wu	45 0.3×	15 0.3×	133 3.1×	16 0.5×	10 0.3×	42	312

Countries citing papers authored by Davide Vega

Since Specialization

Citations

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

Fields of papers citing papers by Davide Vega

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Vega. A scholar is included among the top collaborators of Davide Vega based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Davide Vega. Davide Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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