Matthew I. Pyne

18 total papers · 952 total citations
14 papers, 736 citations indexed

About

Matthew I. Pyne is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Matthew I. Pyne has authored 14 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 9 papers in Nature and Landscape Conservation and 3 papers in Ecological Modeling. Recurrent topics in Matthew I. Pyne's work include Fish Ecology and Management Studies (7 papers), Freshwater macroinvertebrate diversity and ecology (4 papers) and Species Distribution and Climate Change (3 papers). Matthew I. Pyne is often cited by papers focused on Fish Ecology and Management Studies (7 papers), Freshwater macroinvertebrate diversity and ecology (4 papers) and Species Distribution and Climate Change (3 papers). Matthew I. Pyne collaborates with scholars based in United States, Australia and United Kingdom. Matthew I. Pyne's co-authors include N. LeRoy Poff, Jennifer A. Hoeting, Colleen T. Webb, Gregory M. Ames, Daren M. Carlisle, Brian P. Bledsoe, Russell B. Rader, William F. Christensen, Laura A. Twardochleb and Phoebe L. Zarnetske and has published in prestigious journals such as Global Change Biology, Ecology Letters and Biological Conservation.

In The Last Decade

Matthew I. Pyne

13 papers receiving 726 citations

Author Peers

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

Author						Papers	Cites
Matthew I. Pyne	449	442	209	190	124	14	736
C. G. E. van Noordwijk	453 1.0×	387 0.9×	138 0.7×	182 1.0×	124 1.0×	8	663
Alban Sagouis	345 0.8×	430 1.0×	118 0.6×	79 0.4×	137 1.1×	16	651
Chelsea J. Little	349 0.8×	528 1.2×	154 0.7×	138 0.7×	135 1.1×	29	826
Isabelle Gounand	355 0.8×	566 1.3×	156 0.7×	233 1.2×	181 1.5×	27	904
Sovan Lek	293 0.7×	321 0.7×	245 1.2×	68 0.4×	131 1.1×	9	704
Kathryn M. Miller	330 0.7×	320 0.7×	111 0.5×	130 0.7×	257 2.1×	17	747
Pam Fuller	548 1.2×	471 1.1×	140 0.7×	81 0.4×	189 1.5×	23	851
Brian P. Feifarek	380 0.8×	449 1.0×	79 0.4×	197 1.0×	225 1.8×	9	862
Lauren Talluto	425 0.9×	352 0.8×	273 1.3×	180 0.9×	256 2.1×	25	742
Gian Marco Palamara	250 0.6×	305 0.7×	164 0.8×	174 0.9×	248 2.0×	10	736

Countries citing papers authored by Matthew I. Pyne

Since Specialization

Citations

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

Fields of papers citing papers by Matthew I. Pyne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew I. Pyne

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