Shay Vargaftik

59 total papers · 648 total citations
24 papers, 321 citations indexed

About

Shay Vargaftik is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Shay Vargaftik has authored 24 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Shay Vargaftik's work include Software-Defined Networks and 5G (9 papers), Network Traffic and Congestion Control (6 papers) and Cloud Computing and Resource Management (5 papers). Shay Vargaftik is often cited by papers focused on Software-Defined Networks and 5G (9 papers), Network Traffic and Congestion Control (6 papers) and Cloud Computing and Resource Management (5 papers). Shay Vargaftik collaborates with scholars based in Israel, United States and United Kingdom. Shay Vargaftik's co-authors include Isaac Keslassy, Ariel Orda, Yaniv Ben-Itzhak, Nick McKeown, Ittai Abraham, Anirudh Sivaraman, Shang-Tse Chuang, Mohammad Alizadeh, Sha Ma and Tom Edsall and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Shay Vargaftik

23 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Shay Vargaftik 284 92 72 65 51 24 321
Ana Gainaru 287 1.0× 132 1.4× 70 1.0× 64 1.0× 77 1.5× 27 339
Toke Høiland-Jørgensen 301 1.1× 55 0.6× 79 1.1× 44 0.7× 57 1.1× 13 323
Khalid Elbadawi 275 1.0× 98 1.1× 37 0.5× 71 1.1× 97 1.9× 17 304
Gero Dittmann 209 0.7× 108 1.2× 65 0.9× 42 0.6× 145 2.8× 25 292
J. Quittek 241 0.8× 80 0.9× 103 1.4× 97 1.5× 14 0.3× 21 283
Kai Gao 284 1.0× 58 0.6× 101 1.4× 37 0.6× 23 0.5× 32 310
Emilio P. Mancini 204 0.7× 86 0.9× 65 0.9× 35 0.5× 77 1.5× 21 246
Rajeev Mohan Sharma 228 0.8× 35 0.4× 112 1.6× 25 0.4× 62 1.2× 24 274
Rafael R. Obelheiro 207 0.7× 78 0.8× 29 0.4× 52 0.8× 25 0.5× 28 235
Peng Xu 258 0.9× 209 2.3× 70 1.0× 42 0.6× 56 1.1× 32 319

Countries citing papers authored by Shay Vargaftik

Since Specialization
Citations

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

Fields of papers citing papers by Shay Vargaftik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shay Vargaftik

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