David J. Páez

41 total papers · 1.1k total citations
25 papers, 738 citations indexed

About

David J. Páez is a scholar working on Genetics, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David J. Páez has authored 25 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Nature and Landscape Conservation and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David J. Páez's work include Fish Ecology and Management Studies (8 papers), Animal Behavior and Reproduction (8 papers) and Evolution and Genetic Dynamics (6 papers). David J. Páez is often cited by papers focused on Fish Ecology and Management Studies (8 papers), Animal Behavior and Reproduction (8 papers) and Evolution and Genetic Dynamics (6 papers). David J. Páez collaborates with scholars based in United States, Canada and France. David J. Páez's co-authors include Julian J. Dodson, Louis Bernatchez, Nadia Aubin‐Horth, Veronique Thériault, Simon Blanchet, Raina K. Plowright, Helga Guderley, Greg Dwyer, Géraldine Loot and Thierry Léfèvre and has published in prestigious journals such as The American Naturalist, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

David J. Páez

23 papers receiving 723 citations

Author Peers

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

Author Last Decade Papers Cites
David J. Páez 345 245 215 135 118 25 738
Natalia M. Belfiore 176 0.5× 373 1.5× 162 0.8× 85 0.6× 84 0.7× 16 668
Jenni M. Prokkola 164 0.5× 263 1.1× 298 1.4× 95 0.7× 55 0.5× 29 751
Tania M. King 295 0.9× 479 2.0× 397 1.8× 128 0.9× 97 0.8× 38 910
Earl G. Zimmerman 214 0.6× 297 1.2× 450 2.1× 74 0.5× 76 0.6× 45 815
LM Williams 159 0.5× 175 0.7× 196 0.9× 137 1.0× 102 0.9× 31 860
Nathalie Tessier 341 1.0× 453 1.8× 221 1.0× 61 0.5× 75 0.6× 23 742
Floris C. Breman 172 0.5× 123 0.5× 242 1.1× 59 0.4× 148 1.3× 28 642
Laurent Crespin 198 0.6× 173 0.7× 469 2.2× 61 0.5× 92 0.8× 28 771
Jonathan Stuart Ready 247 0.7× 133 0.5× 445 2.1× 130 1.0× 182 1.5× 46 906
F.A.M. Volckaert 336 1.0× 421 1.7× 318 1.5× 196 1.5× 173 1.5× 30 874

Countries citing papers authored by David J. Páez

Since Specialization
Citations

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

Fields of papers citing papers by David J. Páez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Páez. 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 David J. Páez. The network helps show where David J. Páez may publish in the future.

Co-authorship network of co-authors of David J. Páez

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Páez. A scholar is included among the top collaborators of David J. Páez 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 David J. Páez. David J. Páez 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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