David D. McNamara

251 total papers · 1.5k total citations
59 papers, 751 citations indexed

About

David D. McNamara is a scholar working on Geophysics, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, David D. McNamara has authored 59 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geophysics, 20 papers in Mechanics of Materials and 15 papers in Mechanical Engineering. Recurrent topics in David D. McNamara's work include earthquake and tectonic studies (26 papers), Geological and Geochemical Analysis (15 papers) and Hydraulic Fracturing and Reservoir Analysis (11 papers). David D. McNamara is often cited by papers focused on earthquake and tectonic studies (26 papers), Geological and Geochemical Analysis (15 papers) and Hydraulic Fracturing and Reservoir Analysis (11 papers). David D. McNamara collaborates with scholars based in New Zealand, United Kingdom and United States. David D. McNamara's co-authors include Cécile Massiot, Irene C. Wallis, John Townend, Andrew Nicol, Virginia Toy, John Wheeler, David J. Prior, Mark A. Pearce, D. Prior and Jack Williams and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Journal of the American College of Cardiology.

In The Last Decade

David D. McNamara

56 papers receiving 722 citations

Author Peers

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

Author						Papers	Cites
David D. McNamara	472	236	142	135	98	59	751
Heather A. Sheldon	386 0.8×	223 0.9×	144 1.0×	86 0.6×	59 0.6×	31	626
J.H. ter Heege	484 1.0×	287 1.2×	86 0.6×	182 1.3×	147 1.5×	35	797
Hirofumi Muraoka	462 1.0×	146 0.6×	100 0.7×	49 0.4×	60 0.6×	53	692
Adrian Cérepi	321 0.7×	233 1.0×	286 2.0×	127 0.9×	163 1.7×	56	775
G. A. Kirby	415 0.9×	182 0.8×	378 2.7×	170 1.3×	139 1.4×	30	814
Di Hu	305 0.6×	156 0.7×	157 1.1×	111 0.8×	75 0.8×	29	676
Abdullatif Al‐Shuhail	454 1.0×	232 1.0×	139 1.0×	255 1.9×	304 3.1×	105	900
Benoit Gibert	629 1.3×	198 0.8×	266 1.9×	71 0.5×	123 1.3×	27	871
P. M. Fulton	661 1.4×	103 0.4×	84 0.6×	58 0.4×	55 0.6×	36	841
Yan Wang	167 0.4×	293 1.2×	269 1.9×	264 2.0×	250 2.6×	41	694

Countries citing papers authored by David D. McNamara

Since Specialization

Citations

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

Fields of papers citing papers by David D. McNamara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. McNamara

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