Matthew D. Cooper

29 total papers · 1.1k total citations
18 papers, 834 citations indexed

About

Matthew D. Cooper is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Matthew D. Cooper has authored 18 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Matthew D. Cooper's work include Spectroscopy and Quantum Chemical Studies (6 papers), Advanced Chemical Physics Studies (4 papers) and Protein Structure and Dynamics (3 papers). Matthew D. Cooper is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (6 papers), Advanced Chemical Physics Studies (4 papers) and Protein Structure and Dynamics (3 papers). Matthew D. Cooper collaborates with scholars based in Sweden, United States and United Kingdom. Matthew D. Cooper's co-authors include David L. Mobley, Christopher I. Bayly, Ken A. Dill, Michael R. Shirts, Anthony Nicholls, Vijay S. Pande, John D. Chodera, J. Peter Guthrie, Anders Ynnerman and Ian H. Hillier and has published in prestigious journals such as The Journal of Physical Chemistry B, The Journal of Physical Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Matthew D. Cooper

18 papers receiving 814 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew D. Cooper 434 390 165 132 125 18 834
Qin Cai 527 1.2× 248 0.6× 179 1.1× 61 0.5× 138 1.1× 21 827
Jiajing Zhang 454 1.0× 336 0.9× 210 1.3× 85 0.6× 53 0.4× 16 812
Timo Stich 358 0.8× 120 0.3× 143 0.9× 59 0.4× 49 0.4× 15 731
Jun Wang 551 1.3× 273 0.7× 178 1.1× 68 0.5× 123 1.0× 21 824
Guha Jayachandran 639 1.5× 146 0.4× 294 1.8× 117 0.9× 31 0.2× 14 852
Simon Boothroyd 227 0.5× 306 0.8× 288 1.7× 165 1.3× 136 1.1× 51 798
Faisal Saied 336 0.8× 299 0.8× 169 1.0× 89 0.7× 149 1.2× 33 967
Luigi Bonati 417 1.0× 208 0.5× 608 3.7× 147 1.1× 72 0.6× 19 992
Lea Thøgersen 514 1.2× 357 0.9× 136 0.8× 45 0.3× 70 0.6× 23 1.0k
Akbar Nayeem 496 1.1× 148 0.4× 301 1.8× 84 0.6× 30 0.2× 24 1.0k

Countries citing papers authored by Matthew D. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Cooper. A scholar is included among the top collaborators of Matthew D. Cooper 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 D. Cooper. Matthew D. Cooper 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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