Michael Mundy

29 total papers · 1.4k total citations
13 papers, 543 citations indexed

About

Michael Mundy is a scholar working on Computer Networks and Communications, Molecular Biology and Hardware and Architecture. According to data from OpenAlex, Michael Mundy has authored 13 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Molecular Biology and 5 papers in Hardware and Architecture. Recurrent topics in Michael Mundy's work include Distributed and Parallel Computing Systems (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Michael Mundy is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Parallel Computing and Optimization Techniques (5 papers). Michael Mundy collaborates with scholars based in United States, Australia and United Kingdom. Michael Mundy's co-authors include Stephan Lewandowsky, Nicholas Chia, Helena Mendes‐Soares, Nathan D. Price, Christopher S. Henry, Natasa Giallourou, Jason A. Papin, Jonathan R. Swann, Maureen A. Carey and Glynis L. Kolling and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Michael Mundy

13 papers receiving 515 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 Mundy 192 183 88 64 54 13 543
Leonard A. Breslow 12 0.1× 86 0.5× 27 0.3× 9 0.1× 9 0.2× 19 556
Yinglei Wang 60 0.3× 33 0.2× 19 0.2× 72 1.1× 28 0.5× 16 548
Tham Nguyen 41 0.2× 22 0.1× 153 1.7× 4 0.1× 217 4.0× 11 605
Andrew C. Payne 156 0.8× 10 0.1× 24 0.3× 5 0.1× 22 0.4× 13 480
Philippe Rétornaz 11 0.1× 91 0.5× 147 1.7× 14 0.2× 38 0.7× 18 561
Lasse Bergroth 81 0.4× 29 0.2× 73 0.8× 33 0.5× 8 0.1× 10 614
Akio Nishimura 16 0.1× 43 0.2× 110 1.3× 126 2.0× 20 0.4× 21 482
Daniel Smilkov 13 0.1× 30 0.2× 44 0.5× 5 0.1× 21 0.4× 10 526
Markus Wiedemann 31 0.2× 40 0.2× 12 0.1× 3 0.0× 17 0.3× 24 566
Manlai You 29 0.2× 94 0.5× 18 0.2× 2 0.0× 12 0.2× 24 481

Countries citing papers authored by Michael Mundy

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mundy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Mundy

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