Siamak Layeghy

96 total papers · 2.5k total citations
53 papers, 1.1k citations indexed

About

Siamak Layeghy is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Siamak Layeghy has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Siamak Layeghy's work include Network Security and Intrusion Detection (25 papers), Internet Traffic Analysis and Secure E-voting (18 papers) and Software-Defined Networks and 5G (13 papers). Siamak Layeghy is often cited by papers focused on Network Security and Intrusion Detection (25 papers), Internet Traffic Analysis and Secure E-voting (18 papers) and Software-Defined Networks and 5G (13 papers). Siamak Layeghy collaborates with scholars based in Australia, Qatar and India. Siamak Layeghy's co-authors include Marius Portmann, Mohanad Sarhan, Wai Weng Lo, Marcus Gallagher, Nour Moustafa, Paul B. Colditz, B. Boashash, Raja Jurdak, Mostefa Mesbah and Branislav Kusý and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Expert Systems with Applications.

In The Last Decade

Siamak Layeghy

49 papers receiving 1.1k citations

Hit Papers

E-GraphSAGE: A Graph Neur... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Siamak Layeghy 784 607 357 156 80 53 1.1k
Erland Jonsson 442 0.6× 270 0.4× 266 0.7× 234 1.5× 15 0.2× 69 948
Paolo Gasti 575 0.7× 443 0.7× 363 1.0× 476 3.1× 11 0.1× 42 1.3k
Kolin Paul 347 0.4× 107 0.2× 92 0.3× 82 0.5× 13 0.2× 122 1.0k
Markus Steinberger 231 0.3× 163 0.3× 82 0.2× 73 0.5× 93 1.2× 86 1.4k
Yongsheng Liang 179 0.2× 306 0.5× 106 0.3× 44 0.3× 8 0.1× 87 921
Len Hamey 284 0.4× 496 0.8× 194 0.5× 104 0.7× 2 0.0× 61 936
Joseph Henry Anajemba 494 0.6× 322 0.5× 121 0.3× 262 1.7× 2 0.0× 32 926
Ulrik Pagh Schultz 232 0.3× 406 0.7× 31 0.1× 154 1.0× 20 0.3× 101 1.1k
Aviad Cohen 437 0.6× 325 0.5× 488 1.4× 344 2.2× 2 0.0× 36 954
Long Jiao 246 0.3× 287 0.5× 93 0.3× 69 0.4× 54 0.7× 42 1.1k

Countries citing papers authored by Siamak Layeghy

Since Specialization
Citations

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

Fields of papers citing papers by Siamak Layeghy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siamak Layeghy

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