Jeff Larkin

47 total papers · 1.0k total citations
15 papers, 291 citations indexed

About

Jeff Larkin is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Hardware and Architecture. According to data from OpenAlex, Jeff Larkin has authored 15 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Condensed Matter Physics and 4 papers in Hardware and Architecture. Recurrent topics in Jeff Larkin's work include Distributed and Parallel Computing Systems (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Physics of Superconductivity and Magnetism (4 papers). Jeff Larkin is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Physics of Superconductivity and Magnetism (4 papers). Jeff Larkin collaborates with scholars based in United States, United Kingdom and Denmark. Jeff Larkin's co-authors include Mark R. Fahey, Ramanan Sankaran, Sadaf R. Alam, Patrick H Worley, Richard Frederick Barrett, Richard Archibald, Clark C. Guest, Josh V. Vermaas, Steven M. Day and Jens Gläser and has published in prestigious journals such as Computer Physics Communications, Computers & Electrical Engineering and Computing in Science & Engineering.

In The Last Decade

Jeff Larkin

15 papers receiving 279 citations

Author Peers

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

Author Last Decade Papers Cites
Jeff Larkin 116 97 40 34 34 15 291
Rich Hornung 90 0.8× 86 0.9× 8 0.2× 5 0.1× 27 0.8× 10 295
Jack Poulson 54 0.5× 75 0.8× 31 0.8× 5 0.1× 64 1.9× 9 238
Valentin Churavy 28 0.2× 33 0.3× 9 0.2× 16 0.5× 21 0.6× 16 244
John G. Fletcher 141 1.2× 52 0.5× 25 0.6× 5 0.1× 28 0.8× 21 315
Jonathan Madsen 114 1.0× 121 1.2× 3 0.1× 8 0.2× 13 0.4× 8 288
Ikuo Miyoshi 129 1.1× 133 1.4× 3 0.1× 8 0.2× 15 0.4× 9 265
V. De la Luz 81 0.7× 86 0.9× 58 1.4× 36 1.1× 2 0.1× 34 330
Tommy Minyard 128 1.1× 51 0.5× 9 0.2× 15 0.4× 3 0.1× 17 283
Parag Mhashilkar 144 1.2× 43 0.4× 4 0.1× 13 0.4× 8 0.2× 20 296
Dawei Mu 23 0.2× 16 0.2× 176 4.4× 21 0.6× 15 0.4× 24 321

Countries citing papers authored by Jeff Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Larkin

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