R. Dearnley

19 total papers · 482 total citations
18 papers, 396 citations indexed

About

R. Dearnley is a scholar working on Geophysics, Paleontology and Artificial Intelligence. According to data from OpenAlex, R. Dearnley has authored 18 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Geophysics, 5 papers in Paleontology and 5 papers in Artificial Intelligence. Recurrent topics in R. Dearnley's work include Geological and Geochemical Analysis (13 papers), earthquake and tectonic studies (6 papers) and Paleontology and Stratigraphy of Fossils (5 papers). R. Dearnley is often cited by papers focused on Geological and Geochemical Analysis (13 papers), earthquake and tectonic studies (6 papers) and Paleontology and Stratigraphy of Fossils (5 papers). R. Dearnley collaborates with scholars based in United Kingdom, United States and Ukraine. R. Dearnley's co-authors include D.G. Roberts, O. von Knorring, M. T. Styles, Christopher Rundle, R K Harrison, R. St J. Lambert and C. R. Evans and has published in prestigious journals such as Nature, Journal of the Geological Society and Geological Magazine.

In The Last Decade

R. Dearnley

17 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
R. Dearnley 313 108 100 81 66 18 396
Pierre Vellutini 380 1.2× 87 0.8× 149 1.5× 36 0.4× 32 0.5× 24 434
R. Renner 359 1.1× 67 0.6× 113 1.1× 33 0.4× 38 0.6× 12 416
Liwan Cao 301 1.0× 127 1.2× 52 0.5× 94 1.2× 118 1.8× 12 410
Hanqing Zhao 317 1.0× 75 0.7× 109 1.1× 118 1.5× 126 1.9× 22 420
E. B. Bailey 301 1.0× 116 1.1× 104 1.0× 49 0.6× 65 1.0× 20 369
Teagan Blaikie 285 0.9× 54 0.5× 115 1.1× 118 1.5× 42 0.6× 17 359
P S Mustard 182 0.6× 143 1.3× 36 0.4× 43 0.5× 108 1.6× 17 398
Nancy A. Van Wagoner 186 0.6× 101 0.9× 61 0.6× 86 1.1× 49 0.7× 19 375
E. K. Beutel 295 0.9× 73 0.7× 45 0.5× 51 0.6× 104 1.6× 11 352
C. A. Nelson 193 0.6× 119 1.1× 62 0.6× 28 0.3× 137 2.1× 15 354

Countries citing papers authored by R. Dearnley

Since Specialization
Citations

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

Fields of papers citing papers by R. Dearnley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Dearnley. 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 R. Dearnley. The network helps show where R. Dearnley may publish in the future.

Co-authorship network of co-authors of R. Dearnley

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