Jeff Larkin

20 papers receiving 414 citations

Peers

Jeff Larkin
Comparison fields: 5 of 68
  • Hardware and Architecture 136
  • Computer Networks and Communications 158
  • Information Systems and Management 27
  • Computational Theory and Mathematics 65
  • Geophysics 46
Replace Fumiyoshi Shoji with:
Fumiyoshi Shoji Japan
Yusuke Tanimura Japan
Karthikeyan Vaidyanathan United States
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Jinzhe Yang China
Chunbo Zhou China
Rahulkumar Gayatri United States
Changhoan Kim United States
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Jeff Larkin relative to Fumiyoshi Shoji Japan Fumiyoshi Shoji's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jeff Larkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeff Larkin Line = papers co-authored together Jeff Larkin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201370
2 200753
3 201748
4 202040
5 201230
6 202128
7 200824
8 202022
9 201522
10 202220
11 200917
12 201615
13 200812
14 202010
15 20206
16
Remote Software Toolkit Installer
20054
17 20242
18 20082
19 20171
20 20171

About Jeff Larkin

Jeff Larkin is a scholar working on Hardware and Architecture, Computer Networks and Communications, Condensed Matter Physics, Astronomy and Astrophysics and Information Systems and Management, having authored 20 papers that have together received 427 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (4 papers), Physics of Superconductivity and Magnetism (4 papers), Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers), Scientific Computing and Data Management (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Hardware and Architecture (136 citations), Computer Networks and Communications (158 citations), Information Systems and Management (27 citations), Computational Theory and Mathematics (65 citations) and Geophysics (46 citations). Jeff Larkin has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Mark R. Fahey, Ramanan Sankaran, Richard Frederick Barrett, Patrick H Worley, Sadaf R. Alam, Ada Sedova, Josh V. Vermaas, Óscar Hernández, Markus Eisenbach and Scott LeGrand. Their work appears in journals such as The International Journal of High Performance Computing Applications, Computers & Electrical Engineering, Computing in Science & Engineering, Computer Physics Communications and Lecture notes in computer science.

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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