Jeff Larkin

1.0k total citations
15 papers, 294 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 294 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), Physics of Superconductivity and Magnetism (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Jeff Larkin is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Physics of Superconductivity and Magnetism (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Jeff Larkin collaborates with scholars based in United States, United Kingdom and Switzerland. Jeff Larkin's co-authors include Mark R. Fahey, Ramanan Sankaran, Sadaf R. Alam, Richard Frederick Barrett, Patrick H Worley, Richard Archibald, Mark A. Taylor, Matthew Baker, P. J. Maechling and K. Withers 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 282 citations

Peers

Jeff Larkin

CNC

GEOPH

CTM

Jinzhe Yang China

Jack Poulson United States

Jonathan Madsen United States

Matthew O’Keefe United States

Ikuo Miyoshi Japan

David Poliakoff United States

Sanjay Padhi United States

D Bradley United States

Parag Mhashilkar United States

Dawei Mu United States

Jinzhe Yang China

Jeff Larkin

183 ×1.6

CNC

158 ×1.6

10 ×0.3

GEOPH

23 ×0.7

CTM

23 ×0.7

Citations per year, relative to Jeff Larkin Jeff Larkin (= 1×) peers Jinzhe Yang

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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15 of 15 papers shown

Nguyen, Thien, Dmitry I. Lyakh, Eugene Dumitrescu, et al.. (2022). Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale. 4(1). 1–21. 16 indexed citations

Gläser, Jens, Josh V. Vermaas, David Rogers, et al.. (2021). High-throughput virtual laboratory for drug discovery using massive datasets. The International Journal of High Performance Computing Applications. 35(5). 452–468. 26 indexed citations

Vermaas, Josh V., Ada Sedova, Matthew Baker, et al.. (2020). Supercomputing Pipelines Search for Therapeutics Against COVID-19. Computing in Science & Engineering. 23(1). 7–16. 22 indexed citations

Bertagna, Luca, Oksana Guba, Andrew P. Bradley, et al.. (2020). A performance-portable nonhydrostatic atmospheric dycore for the Energy Exascale Earth System Model running at cloud-resolving resolutions.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Bertagna, Luca, Oksana Guba, Mark A. Taylor, et al.. (2020). A Performance-Portable Nonhydrostatic Atmospheric Dycore for the Energy Exascale Earth System Model Running at Cloud-Resolving Resolutions. 1–14. 7 indexed citations

Kjærgaard, Thomas, Pablo Baudin, Dmytro Bykov, et al.. (2016). Massively parallel and linear-scaling algorithm for second-order Møller–Plesset perturbation theory applied to the study of supramolecular wires. Computer Physics Communications. 212. 152–160. 16 indexed citations

Joubert, Wayne, Richard Archibald, M. Berrill, et al.. (2015). Accelerated application development: The ORNL Titan experience. Computers & Electrical Engineering. 46. 123–138. 17 indexed citations

Cui, Y., K. B. Olsen, Jun Zhou, et al.. (2013). Physics-based seismic hazard analysis on petascale heterogeneous supercomputers. 1–12. 60 indexed citations

Archibald, Richard, Katherine J. Evans, Jeff Larkin, et al.. (2012). Progress towards accelerating HOMME on hybrid multi-core systems. The International Journal of High Performance Computing Applications. 27(3). 335–347. 30 indexed citations

10.

Eisenbach, Markus, Chenggang Zhou, D. M. Nicholson, et al.. (2009). A scalable method for ab initio computation of free energies in nanoscale systems. 1–8. 12 indexed citations

11.

Álvarez, Gonzalo, Don Maxwell, Markus Eisenbach, et al.. (2008). New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-T c superconductors. IEEE International Conference on High Performance Computing, Data, and Analytics. 61. 11 indexed citations

12.

Fahey, Mark R., et al.. (2008). I/O performance on a massively parallel Cray XT3/XT4. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–12. 22 indexed citations

13.

Álvarez, Gonzalo A., Don Maxwell, Markus Eisenbach, et al.. (2008). New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-T<inf>c</inf> superconductors. 250. 1–10. 1 indexed citations

14.

Alam, Sadaf R., Richard Frederick Barrett, Jeff Larkin, et al.. (2007). Cray XT4. 1–12. 49 indexed citations

15.

Larkin, Jeff, et al.. (2005). Remote Software Toolkit Installer. 4 indexed citations

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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