Michael Wan

31 total papers · 1.3k total citations
21 papers, 420 citations indexed

About

Michael Wan is a scholar working on Computer Networks and Communications, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Michael Wan has authored 21 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 6 papers in Information Systems and Management and 3 papers in Artificial Intelligence. Recurrent topics in Michael Wan's work include Distributed and Parallel Computing Systems (16 papers), Advanced Data Storage Technologies (14 papers) and Scientific Computing and Data Management (6 papers). Michael Wan is often cited by papers focused on Distributed and Parallel Computing Systems (16 papers), Advanced Data Storage Technologies (14 papers) and Scientific Computing and Data Management (6 papers). Michael Wan collaborates with scholars based in United States and Bulgaria. Michael Wan's co-authors include Reagan Moore, Arcot Rajasekar, Chaitanya Baru, Richard Marciano, Chaitan Baru, Amarnath Gupta, Bertram Ludaescher, Phil Andrews, Hao Xu and Terrell Russell and has published in prestigious journals such as Proceedings of the IEEE, Journal of Grid Computing and D-Lib Magazine.

In The Last Decade

Michael Wan

21 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Wan 340 170 147 56 36 21 420
Mario Antonioletti 279 0.8× 186 1.1× 105 0.7× 36 0.6× 72 2.0× 33 418
Alastair Hume 325 1.0× 192 1.1× 127 0.9× 39 0.7× 86 2.4× 31 478
Μαρία Θεοδωρίδου 107 0.3× 57 0.3× 100 0.7× 8 0.1× 171 4.8× 26 430
Christopher Moretti 282 0.8× 123 0.7× 191 1.3× 46 0.8× 52 1.4× 17 372
Gopi Kandaswamy 311 0.9× 227 1.3× 136 0.9× 47 0.8× 33 0.9× 11 407
Olle Mulmo 374 1.1× 154 0.9× 147 1.0× 88 1.6× 62 1.7× 15 423
Andrew Harrison 354 1.0× 300 1.8× 187 1.3× 19 0.3× 31 0.9× 31 442
David Y. Hancock 217 0.6× 132 0.8× 139 0.9× 25 0.4× 27 0.8× 28 436
Martin Westhead 279 0.8× 128 0.8× 120 0.8× 130 2.3× 112 3.1× 17 401
Zoltán Farkas 332 1.0× 271 1.6× 141 1.0× 52 0.9× 21 0.6× 35 414

Countries citing papers authored by Michael Wan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wan

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