John D. McCalpin

42 total papers · 1.2k total citations
27 papers, 442 citations indexed

About

John D. McCalpin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Oceanography. According to data from OpenAlex, John D. McCalpin has authored 27 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 12 papers in Computer Networks and Communications and 8 papers in Oceanography. Recurrent topics in John D. McCalpin's work include Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (8 papers) and Embedded Systems Design Techniques (5 papers). John D. McCalpin is often cited by papers focused on Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (8 papers) and Embedded Systems Design Techniques (5 papers). John D. McCalpin collaborates with scholars based in United States. John D. McCalpin's co-authors include Dale B. Haidvogel, Martin Burtscher, James C. Browne, Lars Koesterke, Ardavan Pedram, Andreas Gerstlauer, Steven R. Kunkel, Richard J. Eickemeyer, Stephen W. Keckler and Mark Smotherman and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Monthly Weather Review and Journal of Physical Oceanography.

In The Last Decade

John D. McCalpin

26 papers receiving 396 citations

Author Peers

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

Author						Papers	Cites
John D. McCalpin	210	170	162	121	121	27	442
Mike Ashworth	269 1.3×	177 1.0×	109 0.7×	32 0.3×	30 0.2×	40	460
Shintaro Kawahara	130 0.6×	277 1.6×	211 1.3×	33 0.3×	31 0.3×	22	403
Tiago Quintino	32 0.2×	150 0.9×	147 0.9×	75 0.6×	54 0.4×	27	452
Jairo Panetta	12 0.1×	174 1.0×	181 1.1×	141 1.2×	101 0.8×	45	486
John Patchett	50 0.2×	46 0.3×	37 0.2×	125 1.0×	67 0.6×	24	450
W. P. Dannevik	19 0.1×	95 0.6×	136 0.8×	46 0.4×	24 0.2×	22	425
Matthew Norman	27 0.1×	238 1.4×	296 1.8×	44 0.4×	18 0.1×	36	476
Don Middleton	10 0.0×	166 1.0×	115 0.7×	100 0.8×	22 0.2×	15	401
Sheri Mickelson	23 0.1×	242 1.4×	216 1.3×	123 1.0×	50 0.4×	14	420
François Thomasset	59 0.3×	14 0.1×	44 0.3×	27 0.2×	35 0.3×	16	424

Countries citing papers authored by John D. McCalpin

Since Specialization

Citations

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

Fields of papers citing papers by John D. McCalpin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. McCalpin

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