Matthew A. Mumma

34 total papers · 1.2k total citations
25 papers, 827 citations indexed

About

Matthew A. Mumma is a scholar working on Ecology, Genetics and Small Animals. According to data from OpenAlex, Matthew A. Mumma has authored 25 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 5 papers in Genetics and 4 papers in Small Animals. Recurrent topics in Matthew A. Mumma's work include Wildlife Ecology and Conservation (23 papers), Rangeland and Wildlife Management (6 papers) and Genetic diversity and population structure (4 papers). Matthew A. Mumma is often cited by papers focused on Wildlife Ecology and Conservation (23 papers), Rangeland and Wildlife Management (6 papers) and Genetic diversity and population structure (4 papers). Matthew A. Mumma collaborates with scholars based in Canada and United States. Matthew A. Mumma's co-authors include Chris J. Johnson, Michael P. Gillingham, Shane P. Mahoney, Katherine L. Parker, Joel O. Abraham, Lisette P. Waits, Kaitlyn M. Gaynor, Meredith S. Palmer, Guillaume Bastille‐Rousseau and Robert M. Pringle and has published in prestigious journals such as Trends in Ecology & Evolution, Scientific Reports and Ecological Monographs.

In The Last Decade

Matthew A. Mumma

25 papers receiving 797 citations

Hit Papers

Dynamic landscapes of fea... 2022 2026 2023 2024 2022 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Matthew A. Mumma 700 196 136 124 108 25 827
Greg Gordon 633 0.9× 174 0.9× 201 1.5× 89 0.7× 164 1.5× 22 806
Gerald W. Garner 928 1.3× 167 0.9× 108 0.8× 112 0.9× 156 1.4× 23 1.1k
Geir Rune Rauset 837 1.2× 134 0.7× 141 1.0× 113 0.9× 127 1.2× 33 962
Laura Bonesi 808 1.2× 165 0.8× 119 0.9× 49 0.4× 167 1.5× 24 928
Sterling D. Miller 728 1.0× 171 0.9× 116 0.9× 72 0.6× 93 0.9× 31 828
Mathieu Garel 591 0.8× 168 0.9× 127 0.9× 62 0.5× 130 1.2× 45 744
David L. Lewis 796 1.1× 302 1.5× 138 1.0× 53 0.4× 82 0.8× 12 878
Roy Andersen 873 1.2× 232 1.2× 163 1.2× 48 0.4× 136 1.3× 42 1.0k
Dana J. Morin 678 1.0× 144 0.7× 203 1.5× 95 0.8× 114 1.1× 36 788
Péter K. Molnár 765 1.1× 205 1.0× 115 0.8× 92 0.7× 65 0.6× 41 1.0k

Countries citing papers authored by Matthew A. Mumma

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Mumma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Mumma

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