Gyula Sallai

67 total papers · 862 total citations
32 papers, 516 citations indexed

About

Gyula Sallai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Gyula Sallai has authored 32 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Gyula Sallai's work include Network Traffic and Congestion Control (8 papers), Advanced Optical Network Technologies (8 papers) and Cognitive Computing and Networks (6 papers). Gyula Sallai is often cited by papers focused on Network Traffic and Congestion Control (8 papers), Advanced Optical Network Technologies (8 papers) and Cognitive Computing and Networks (6 papers). Gyula Sallai collaborates with scholars based in Hungary, Switzerland and India. Gyula Sallai's co-authors include Péter Bárányi, Ádám Csapó, László Gyarmati, Tuan Anh Trinh, Tibor Cinkler, András Kern, János Tapolcai, Zoltán Micskei, Hideki Hashimoto and J. Szigeti and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Gyula Sallai

28 papers receiving 474 citations

Hit Papers

Cognitive Infocommunicati... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Gyula Sallai 241 183 83 81 71 32 516
Sumit Kumar Das 135 0.6× 101 0.6× 88 1.1× 98 1.2× 154 2.2× 41 565
Patrick Benavidez 115 0.5× 91 0.5× 32 0.4× 118 1.5× 227 3.2× 44 522
Futoshi Naya 81 0.3× 142 0.8× 70 0.8× 81 1.0× 124 1.7× 45 513
György Molnár 126 0.5× 167 0.9× 81 1.0× 47 0.6× 58 0.8× 70 538
João Quintas 131 0.5× 182 1.0× 26 0.3× 46 0.6× 121 1.7× 48 493
Dohyun Kim 107 0.4× 88 0.5× 22 0.3× 33 0.4× 82 1.2× 76 515
Alexis Maldonado 242 1.0× 135 0.7× 49 0.6× 37 0.5× 198 2.8× 20 516
Hideyuki Nakashima 46 0.2× 157 0.9× 54 0.7× 109 1.3× 159 2.2× 50 552
Andre Gaschler 202 0.8× 238 1.3× 68 0.8× 18 0.2× 237 3.3× 35 584
Mariacarla Staffa 80 0.3× 190 1.0× 36 0.4× 38 0.5× 92 1.3× 53 472

Countries citing papers authored by Gyula Sallai

Since Specialization
Citations

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

Fields of papers citing papers by Gyula Sallai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gyula Sallai

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