Daniel J. Paluh

42 total papers · 1.1k total citations
24 papers, 399 citations indexed

About

Daniel J. Paluh is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Daniel J. Paluh has authored 24 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 13 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Genetics. Recurrent topics in Daniel J. Paluh's work include Amphibian and Reptile Biology (19 papers), Animal Behavior and Reproduction (10 papers) and Species Distribution and Climate Change (5 papers). Daniel J. Paluh is often cited by papers focused on Amphibian and Reptile Biology (19 papers), Animal Behavior and Reproduction (10 papers) and Species Distribution and Climate Change (5 papers). Daniel J. Paluh collaborates with scholars based in United States, Sweden and Brazil. Daniel J. Paluh's co-authors include Maggie M. Hantak, Ralph A. Saporito, David C. Blackburn, Edward L. Stanley, Aaron M. Bauer, Michelle R. Stocker, Sterling J. Nesbitt, William G. Parker, Cari‐Ann M. Hickerson and Robert Guralnick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Evolution.

In The Last Decade

Daniel J. Paluh

22 papers receiving 390 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 J. Paluh 246 182 103 101 95 24 399
J. A. Tihen 281 1.1× 131 0.7× 100 1.0× 98 1.0× 109 1.1× 19 375
Daniel Silva Fernandes 301 1.2× 103 0.6× 75 0.7× 61 0.6× 76 0.8× 40 426
Julian C. Lee 323 1.3× 190 1.0× 83 0.8× 48 0.5× 135 1.4× 12 433
Shelley Edwards 281 1.1× 182 1.0× 47 0.5× 46 0.5× 115 1.2× 35 397
Max Sparreboom 214 0.9× 165 0.9× 58 0.6× 49 0.5× 45 0.5× 22 355
M. Florencia Vera Candioti 339 1.4× 187 1.0× 146 1.4× 30 0.3× 69 0.7× 17 373
Alberto R. Puente‐Rolón 200 0.8× 177 1.0× 68 0.7× 36 0.4× 128 1.3× 24 390
Alex Slavenko 270 1.1× 162 0.9× 110 1.1× 57 0.6× 189 2.0× 29 428
James L. Vial 381 1.5× 217 1.2× 125 1.2× 50 0.5× 77 0.8× 11 437
Felipe Franco Curcio 345 1.4× 175 1.0× 120 1.2× 51 0.5× 100 1.1× 33 444

Countries citing papers authored by Daniel J. Paluh

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Paluh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Paluh

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