Daniel N. Proud

50 total papers · 445 total citations
38 papers, 330 citations indexed

About

Daniel N. Proud is a scholar working on Paleontology, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Daniel N. Proud has authored 38 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Paleontology, 15 papers in Global and Planetary Change and 14 papers in Nature and Landscape Conservation. Recurrent topics in Daniel N. Proud's work include Subterranean biodiversity and taxonomy (25 papers), Amphibian and Reptile Biology (14 papers) and Turtle Biology and Conservation (11 papers). Daniel N. Proud is often cited by papers focused on Subterranean biodiversity and taxonomy (25 papers), Amphibian and Reptile Biology (14 papers) and Turtle Biology and Conservation (11 papers). Daniel N. Proud collaborates with scholars based in United States, Argentina and Costa Rica. Daniel N. Proud's co-authors include Victor R. Townsend, Bruce E. Felgenhauer, Abel Pérez‐González, Michael K. Moore, Peter A. Van Zandt, Peter Michalik, Prashant P. Sharma, Fadia Sara Ceccarelli, Márcio Bernardino DaSilva and Adriano B. Kury and has published in prestigious journals such as PLoS ONE, Journal of Morphology and Ecological Entomology.

In The Last Decade

Daniel N. Proud

37 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel N. Proud 209 139 117 104 94 38 330
Amazonas Chagas 197 0.9× 86 0.6× 157 1.3× 47 0.5× 131 1.4× 48 359
Márcio Bernardino DaSilva 245 1.2× 82 0.6× 72 0.6× 142 1.4× 79 0.8× 28 328
Gergely Balázs 148 0.7× 99 0.7× 82 0.7× 45 0.4× 48 0.5× 32 313
Marcos Ryotaro Hara 267 1.3× 116 0.8× 59 0.5× 133 1.3× 64 0.7× 23 309
Nicholas M. A. Crouch 79 0.4× 47 0.3× 124 1.1× 70 0.7× 81 0.9× 23 290
Simona Prevorčnik 204 1.0× 114 0.8× 42 0.4× 54 0.5× 47 0.5× 26 357
Pier Mauro Giachino 168 0.8× 56 0.4× 129 1.1× 18 0.2× 73 0.8× 49 290
Ana Lúcia Miranda Tourinho 188 0.9× 71 0.5× 71 0.6× 72 0.7× 137 1.5× 35 281
Georges Cuvier 71 0.3× 31 0.2× 78 0.7× 61 0.6× 38 0.4× 42 295
M. Cobolli Sbordoni 87 0.4× 44 0.3× 105 0.9× 39 0.4× 166 1.8× 22 326

Countries citing papers authored by Daniel N. Proud

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Proud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel N. Proud. 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 Daniel N. Proud. The network helps show where Daniel N. Proud may publish in the future.

Co-authorship network of co-authors of Daniel N. Proud

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel N. Proud. A scholar is included among the top collaborators of Daniel N. Proud 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 Daniel N. Proud. Daniel N. Proud 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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