Matthew Baker

718 total citations
9 papers, 287 citations indexed

About

Matthew Baker is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Matthew Baker has authored 9 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 2 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Matthew Baker's work include Computational Drug Discovery Methods (3 papers), Advanced Data Storage Technologies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Matthew Baker is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Advanced Data Storage Technologies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Matthew Baker collaborates with scholars based in United States and United Kingdom. Matthew Baker's co-authors include Glen D. Mellinger, E. H. Uhlenhuth, Dean I. Manheimer, Óscar Hernández, Josh V. Vermaas, Jens Gläser, Swen Boehm, David Rogers, Ada Sedova and Craig Stunkel and has published in prestigious journals such as Protein Engineering Design and Selection, Scientific Data and Current Medical Research and Opinion.

In The Last Decade

Matthew Baker

9 papers receiving 267 citations

Peers

Matthew Baker

CNC

HA

PMH

ECP

CTM

David Gallagher United States

Sunil Goyal India

Dongju Li Japan

Thomas Schwarz United States

Richard Booth United Kingdom

Brian Grant United States

Naila Rahman United Kingdom

Cyrus Harrison United States

Danny Sullivan Australia

James H. Rogers United States

David Gallagher United States

Matthew Baker

165 ×2.3

CNC

239 ×3.8

HA

20 ×0.3

PMH

7 ×0.1

ECP

19 ×0.5

CTM

Citations per year, relative to Matthew Baker Matthew Baker (= 1×) peers David Gallagher

Countries citing papers authored by Matthew Baker

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Baker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Baker

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Baker. A scholar is included among the top collaborators of Matthew Baker 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 Matthew Baker. Matthew Baker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Rogers, David, Rupesh Agarwal, Josh V. Vermaas, et al.. (2023). SARS-CoV2 billion-compound docking. Scientific Data. 10(1). 173–173. 14 indexed citations

2.

Poole, Stephen, et al.. (2022). OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks. Lecture notes in computer science. 1 indexed citations

3.

Gläser, Jens, Josh V. Vermaas, David Rogers, et al.. (2021). High-throughput virtual laboratory for drug discovery using massive datasets. The International Journal of High Performance Computing Applications. 35(5). 452–468. 26 indexed citations

4.

Vermaas, Josh V., Ada Sedova, Matthew Baker, et al.. (2020). Supercomputing Pipelines Search for Therapeutics Against COVID-19. Computing in Science & Engineering. 23(1). 7–16. 22 indexed citations

5.

Vergara, Verónica Melesse, Wayne Joubert, Swen Boehm, et al.. (2018). Are we witnessing the spectre of an HPC meltdown?. Concurrency and Computation Practice and Experience. 31(16). 1 indexed citations

6.

Shamis, Pavel, Manjunath Gorentla Venkata, M. Graham Lopez, et al.. (2015). UCX: An Open Source Framework for HPC Network APIs and Beyond. 40–43. 82 indexed citations

7.

Baker, Matthew, et al.. (2004). Early Failure of Absorbable Plating in a Patient With Syndromic Brachycephaly. Journal of Craniofacial Surgery. 15(3). 519–522. 2 indexed citations

8.

Petrosino, Joseph F., Matthew Baker, & Timothy Palzkill. (1999). Susceptibility of β-lactamase to core amino acid substitutions. Protein Engineering Design and Selection. 12(9). 761–769. 3 indexed citations

9.

Baker, Matthew, Dean I. Manheimer, Glen D. Mellinger, & E. H. Uhlenhuth. (1984). A cross-national comparison of anti-anxiety/sedative drug use. Current Medical Research and Opinion. 8(sup4). 5–20. 136 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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