Matthew S. Gilmore

35 total papers · 1.3k total citations
26 papers, 978 citations indexed

About

Matthew S. Gilmore is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Matthew S. Gilmore has authored 26 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 3 papers in Astronomy and Astrophysics. Recurrent topics in Matthew S. Gilmore's work include Meteorological Phenomena and Simulations (20 papers), Climate variability and models (8 papers) and Tropical and Extratropical Cyclones Research (6 papers). Matthew S. Gilmore is often cited by papers focused on Meteorological Phenomena and Simulations (20 papers), Climate variability and models (8 papers) and Tropical and Extratropical Cyclones Research (6 papers). Matthew S. Gilmore collaborates with scholars based in United States. Matthew S. Gilmore's co-authors include Jerry M. Straka, Erik N. Rasmussen, Louis J. Wicker, Alexandre O. Fierro, Edward R. Mansell, Robert Davies-Jones, Wei‐Kuo Tao, Baike Xi, Xiquan Dong and Aaron Kennedy and has published in prestigious journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Matthew S. Gilmore

26 papers receiving 948 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 S. Gilmore 912 807 153 92 32 26 978
Tomáš Púčik 809 0.9× 807 1.0× 126 0.8× 85 0.9× 34 1.1× 25 951
Leslie R. Lemon 768 0.8× 560 0.7× 198 1.3× 77 0.8× 13 0.4× 18 821
Mahen Konwar 1.1k 1.2× 1.0k 1.3× 135 0.9× 74 0.8× 21 0.7× 61 1.2k
Keith A. Browning 941 1.0× 805 1.0× 124 0.8× 79 0.9× 21 0.7× 27 1.0k
Jason C. Knievel 809 0.9× 701 0.9× 284 1.9× 52 0.6× 28 0.9× 42 992
Paul T. Willis 735 0.8× 444 0.6× 188 1.2× 86 0.9× 78 2.4× 17 812
Paul J. Kocin 1.0k 1.1× 886 1.1× 132 0.9× 43 0.5× 25 0.8× 39 1.2k
C. S. Eubank 972 1.1× 658 0.8× 101 0.7× 54 0.6× 51 1.6× 19 1.1k
G. Brant Foote 968 1.1× 726 0.9× 199 1.3× 94 1.0× 75 2.3× 23 1.2k
Matthew J. Bunkers 797 0.9× 759 0.9× 149 1.0× 49 0.5× 10 0.3× 35 955

Countries citing papers authored by Matthew S. Gilmore

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Gilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew S. Gilmore

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