F. Travostino

46 total papers · 579 total citations
28 papers, 318 citations indexed

About

F. Travostino is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, F. Travostino has authored 28 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 7 papers in Information Systems and 6 papers in Hardware and Architecture. Recurrent topics in F. Travostino's work include Network Traffic and Congestion Control (11 papers), Software-Defined Networks and 5G (9 papers) and Peer-to-Peer Network Technologies (7 papers). F. Travostino is often cited by papers focused on Network Traffic and Congestion Control (11 papers), Software-Defined Networks and 5G (9 papers) and Peer-to-Peer Network Technologies (7 papers). F. Travostino collaborates with scholars based in United States, Canada and Australia. F. Travostino's co-authors include Leon Gommans, Cees de Laat, Inder Monga, Joe Mambretti, C.T.A.M. de Laat, Jeroen van der Ham, Franklin Reynolds, Doan B. Hoang, A. Taal and David Gutierrez and has published in prestigious journals such as Molecular and Cellular Biology, IEEE Communications Magazine and Future Generation Computer Systems.

In The Last Decade

F. Travostino

24 papers receiving 295 citations

Author Peers

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

Author Last Decade Papers Cites
F. Travostino 288 186 66 51 29 28 318
Peng Xu 258 0.9× 209 1.1× 70 1.1× 56 1.1× 42 1.4× 32 319
Emilio P. Mancini 204 0.7× 86 0.5× 65 1.0× 77 1.5× 35 1.2× 21 246
C. Leangsuksun 247 0.9× 102 0.5× 27 0.4× 128 2.5× 30 1.0× 19 306
Tim Levin 151 0.5× 122 0.7× 49 0.7× 79 1.5× 110 3.8× 27 262
Rafael R. Obelheiro 207 0.7× 78 0.4× 29 0.4× 25 0.5× 52 1.8× 28 235
Anindya Neogi 316 1.1× 303 1.6× 33 0.5× 67 1.3× 25 0.9× 14 363
Cătălin Meiroşu 302 1.0× 97 0.5× 107 1.6× 21 0.4× 29 1.0× 41 332
Ennan Zhai 259 0.9× 118 0.6× 54 0.8× 33 0.6× 80 2.8× 32 335
Kalman Meth 252 0.9× 116 0.6× 34 0.5× 75 1.5× 33 1.1× 17 304
Jason Zurawski 256 0.9× 62 0.3× 44 0.7× 19 0.4× 47 1.6× 29 292

Countries citing papers authored by F. Travostino

Since Specialization
Citations

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

Fields of papers citing papers by F. Travostino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Travostino

This figure shows the co-authorship network connecting the top 25 collaborators of F. Travostino. A scholar is included among the top collaborators of F. Travostino 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 F. Travostino. F. Travostino 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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