Raymond Kwan

90 total papers · 1.7k total citations
54 papers, 1.0k citations indexed

About

Raymond Kwan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Raymond Kwan has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 29 papers in Electrical and Electronic Engineering and 20 papers in Industrial and Manufacturing Engineering. Recurrent topics in Raymond Kwan's work include Advanced MIMO Systems Optimization (22 papers), Wireless Communication Networks Research (21 papers) and Advanced Wireless Network Optimization (19 papers). Raymond Kwan is often cited by papers focused on Advanced MIMO Systems Optimization (22 papers), Wireless Communication Networks Research (21 papers) and Advanced Wireless Network Optimization (19 papers). Raymond Kwan collaborates with scholars based in United Kingdom, Canada and Japan. Raymond Kwan's co-authors include Cyril Leung, Jie Zhang, Zhiyuan Lin, Jingpeng Li, Mitsuhiro Kubota, Riccardo Trivisonno, Robert K. Paterson, Anthony Wren, Hui Song and Mehmet Emin Aydın and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Transactions on Communications.

In The Last Decade

Raymond Kwan

52 papers receiving 975 citations

Author Peers

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

Author Last Decade Papers Cites
Raymond Kwan 691 620 249 119 97 54 1.0k
Marta Pascoal 264 0.4× 302 0.5× 274 1.1× 222 1.9× 44 0.5× 42 921
Raphaël Rom 460 0.7× 844 1.4× 96 0.4× 178 1.5× 25 0.3× 32 1.2k
Raffaele Cerulli 193 0.3× 250 0.4× 424 1.7× 82 0.7× 29 0.3× 74 915
Jeffrey P. Kharoufeh 199 0.3× 143 0.2× 59 0.2× 87 0.7× 78 0.8× 49 1.1k
Yuan Yao 448 0.6× 450 0.7× 107 0.4× 48 0.4× 29 0.3× 54 1.1k
André Rossi 256 0.4× 351 0.6× 319 1.3× 17 0.1× 30 0.3× 63 828
Theofanis P. Raptis 580 0.8× 447 0.7× 131 0.5× 23 0.2× 15 0.2× 62 1.0k
Kyoung-Dae Kim 188 0.3× 343 0.6× 53 0.2× 80 0.7× 33 0.3× 39 1.2k
Neetesh Kumar 270 0.4× 422 0.7× 47 0.2× 97 0.8× 40 0.4× 58 999
Roberto Nardone 129 0.2× 216 0.3× 274 1.1× 106 0.9× 24 0.2× 54 840

Countries citing papers authored by Raymond Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymond Kwan

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