D. Graham Pearson

29 total papers · 1.6k total citations
10 papers, 878 citations indexed

About

D. Graham Pearson is a scholar working on Geophysics, Artificial Intelligence and Paleontology. According to data from OpenAlex, D. Graham Pearson has authored 10 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geophysics, 3 papers in Artificial Intelligence and 1 paper in Paleontology. Recurrent topics in D. Graham Pearson's work include Geological and Geochemical Analysis (6 papers), earthquake and tectonic studies (3 papers) and Geochemistry and Geologic Mapping (3 papers). D. Graham Pearson is often cited by papers focused on Geological and Geochemical Analysis (6 papers), earthquake and tectonic studies (3 papers) and Geochemistry and Geologic Mapping (3 papers). D. Graham Pearson collaborates with scholars based in Canada, United States and Brazil. D. Graham Pearson's co-authors include Nan Bahr, R J Dowsett, E.C. Dickinson, C.S. Roselaar, Andrew J. Locock, N. V. Chalapathi Rao, B A Kjarsgaard, David Phillips, Qiao Shu and Hayden Dalton and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Geology and Chemical Geology.

In The Last Decade

D. Graham Pearson

7 papers receiving 757 citations

Hit Papers

The Howard and Moore Comp... 2003 2026 2010 2018 2003 250 500 750

Author Peers

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

Author Last Decade Papers Cites
D. Graham Pearson 423 399 306 186 167 10 878
Julie Feinstein 482 1.1× 357 0.9× 369 1.2× 199 1.1× 224 1.3× 14 962
Heather R. L. Lerner 479 1.1× 359 0.9× 264 0.9× 145 0.8× 217 1.3× 11 841
Frederick H. Sheldon 442 1.0× 362 0.9× 274 0.9× 110 0.6× 181 1.1× 19 739
Anita Gamauf 535 1.3× 562 1.4× 352 1.2× 151 0.8× 261 1.6× 37 1.0k
Donna L. Dittmann 514 1.2× 393 1.0× 220 0.7× 165 0.9× 278 1.7× 23 853
Angelo P. Capparella 303 0.7× 222 0.6× 294 1.0× 192 1.0× 79 0.5× 36 702
Ingrid Seibold 491 1.2× 393 1.0× 302 1.0× 98 0.5× 161 1.0× 12 769
Jean‐Marc Pons 403 1.0× 472 1.2× 416 1.4× 137 0.7× 136 0.8× 42 972
Carl McIntosh 542 1.3× 345 0.9× 240 0.8× 104 0.6× 424 2.5× 18 1.0k
Paquita E. A. Hoeck 515 1.2× 416 1.0× 218 0.7× 116 0.6× 243 1.5× 20 903

Countries citing papers authored by D. Graham Pearson

Since Specialization
Citations

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

Fields of papers citing papers by D. Graham Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Graham Pearson. 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 D. Graham Pearson. The network helps show where D. Graham Pearson may publish in the future.

Co-authorship network of co-authors of D. Graham Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of D. Graham Pearson. A scholar is included among the top collaborators of D. Graham Pearson 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 D. Graham Pearson. D. Graham Pearson 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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