Michael Mundy

1.4k total citations
13 papers, 545 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 545 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), Parallel Computing and Optimization Techniques (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Michael Mundy is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Michael Mundy collaborates with scholars based in United States, United Kingdom and Australia. Michael Mundy's co-authors include Stephan Lewandowsky, Nicholas Chia, Helena Mendes‐Soares, Christopher S. Henry, Nathan D. Price, Jason A. Papin, Jonathan R. Swann, Maureen A. Carey, Gregory L. Medlock 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 517 citations

Peers

Michael Mundy

MB

SP

CNC

HA

BE

Linghao Zhang China

Muhammad Nadeem Kuwait

John J. Herbert Ireland

Joel Scanlan Australia

Ingrid Winkler Brazil

Monica Anderson United States

Yasuyuki Sumi Japan

K. Meenakshi India

Pedro C. Santana‐Mancilla Mexico

Saira Anwar United States

Linghao Zhang China

Michael Mundy

33 ×0.2

MB

130 ×0.7

SP

52 ×0.6

CNC

13 ×0.2

HA

94 ×1.7

BE

Citations per year, relative to Michael Mundy Michael Mundy (= 1×) peers Linghao Zhang

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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13 of 13 papers shown

1.

Medlock, Gregory L., Maureen A. Carey, Michael Mundy, et al.. (2018). Inferring Metabolic Mechanisms of Interaction within a Defined Gut Microbiota. Cell Systems. 7(3). 245–257.e7. 81 indexed citations

2.

Farrah, Terry, et al.. (2017). ProbAnnoWeb and ProbAnnoPy: probabilistic annotation and gap-filling of metabolic reconstructions. Bioinformatics. 34(9). 1594–1596. 4 indexed citations

3.

Mundy, Michael, Helena Mendes‐Soares, & Nicholas Chia. (2017). Mackinac: a bridge between ModelSEED and COBRApy to generate and analyze genome-scale metabolic models. Bioinformatics. 33(15). 2416–2418. 12 indexed citations

4.

Mendes‐Soares, Helena, et al.. (2016). MMinte: an application for predicting metabolic interactions among the microbial species in a community. BMC Bioinformatics. 17(1). 343–343. 56 indexed citations

5.

Mundy, Michael, et al.. (2014). Likelihood-Based Gene Annotations for Gap Filling and Quality Assessment in Genome-Scale Metabolic Models. PLoS Computational Biology. 10(10). e1003882–e1003882. 63 indexed citations

6.

Miller, Sam, et al.. (2010). Blue Gene/Q resource management architecture. 1–5. 7 indexed citations

7.

King, Alan J., et al.. (2008). Asynchronous task dispatch for high throughput computing for the eServer IBM Blue Gene® Supercomputer. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1. 1–7. 7 indexed citations

8.

Castaños, José G., Derek Lieber, José E. Moreira, et al.. (2006). Blue Gene system software---Design and implementation of a one-sided communication interface for the IBM eServer Blue Gene® supercomputer. 120–120. 11 indexed citations

9.

Moreira, José E., Michael Mundy, José G. Castaños, et al.. (2006). Blue Gene system software---Designing a highly-scalable operating system. 118–118. 39 indexed citations

10.

Archer, Charles J, Todd Inglett, Michael Mundy, et al.. (2006). Design and Implementation of a One-Sided Communication Interface for the IBM eServer Blue Gene. 54–54. 4 indexed citations

11.

Moreira, José E., José G. Castaños, Mark Giampapa, et al.. (2006). Designing a Highly-Scalable Operating System: The Blue Gene/L Story. 53–53. 17 indexed citations

12.

Lewandowsky, Stephan, et al.. (2000). The dynamics of trust: Comparing humans to automation.. Journal of Experimental Psychology Applied. 6(2). 104–123. 128 indexed citations

13.

Lewandowsky, Stephan, et al.. (2000). The dynamics of trust: Comparing humans to automation.. Journal of Experimental Psychology Applied. 6(2). 104–123. 116 indexed citations

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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