James Sexton

1.4k total citations · 1 hit paper
26 papers, 677 citations indexed

About

James Sexton is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, James Sexton has authored 26 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 10 papers in Computer Networks and Communications and 5 papers in Hardware and Architecture. Recurrent topics in James Sexton's work include Advanced Data Storage Technologies (8 papers), Particle physics theoretical and experimental studies (8 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). James Sexton is often cited by papers focused on Advanced Data Storage Technologies (8 papers), Particle physics theoretical and experimental studies (8 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). James Sexton collaborates with scholars based in United States, Ireland and Switzerland. James Sexton's co-authors include D. Weingarten, A. Vaccarino, Alessandro Curioni, Jed W. Pitera, Teodoro Laino, Peter Staar, Edward O. Pyzer‐Knapp, Daniel P. Sanders, John R. Smith and Seiji Takeda and has published in prestigious journals such as Physical Review Letters, Computer and npj Computational Materials.

In The Last Decade

James Sexton

25 papers receiving 651 citations

Hit Papers

Accelerating materials discovery using artificial intelli... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Sexton United States 10 303 127 83 68 46 26 677
F. Carminati Switzerland 9 115 0.4× 232 1.8× 101 1.2× 30 0.4× 29 0.6× 25 619
N. Attig Germany 8 59 0.2× 56 0.4× 45 0.5× 16 0.2× 25 0.5× 25 264
Vitali Morozov United States 16 64 0.2× 433 3.4× 467 5.6× 146 2.1× 325 7.1× 41 1.3k
Leo Dalesio United States 6 65 0.2× 39 0.3× 46 0.6× 93 1.4× 14 0.3× 28 234
M.R. Kraimer United States 7 71 0.2× 53 0.4× 34 0.4× 102 1.5× 15 0.3× 27 271
Chi-Huan Tung United States 10 13 0.0× 96 0.8× 119 1.4× 32 0.5× 54 1.2× 38 327
Yuji Matsumoto Japan 12 83 0.3× 25 0.2× 11 0.1× 163 2.4× 11 0.2× 81 546
Guanjie Zheng China 9 106 0.3× 122 1.0× 12 0.1× 89 1.3× 12 0.3× 34 357
Manuel Barranco Spain 14 46 0.2× 29 0.2× 289 3.5× 103 1.5× 266 5.8× 66 559
Chaofeng Hou China 11 8 0.0× 109 0.9× 174 2.1× 106 1.6× 157 3.4× 33 566

Countries citing papers authored by James Sexton

Since Specialization
Citations

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

Fields of papers citing papers by James Sexton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Sexton

This figure shows the co-authorship network connecting the top 25 collaborators of James Sexton. A scholar is included among the top collaborators of James Sexton 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 James Sexton. James Sexton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hagleitner, Christoph, James Sexton, Constantinos Evangelinos, et al.. (2023). An Architecture for Heterogeneous High-Performance Computing Systems: Motivation and Requirements. 14–14.
2.
Pyzer‐Knapp, Edward O., Jed W. Pitera, Peter Staar, et al.. (2022). Accelerating materials discovery using artificial intelligence, high performance computing and robotics. npj Computational Materials. 8(1). 241 indexed citations breakdown →
3.
Hagleitner, Christoph, Dionysios Diamantopoulos, Constantinos Evangelinos, et al.. (2021). Heterogeneous Computing Systems for Complex Scientific Discovery Workflows. 13–18. 4 indexed citations
4.
AbdelBaky, Moustafa, Manish Parashar, Hyunjoo Kim, et al.. (2012). Enabling High-Performance Computing as a Service. Computer. 45(10). 72–80. 40 indexed citations
5.
Dózsa, Gábor, Maria Eleftheriou, Todd Inglett, et al.. (2008). Stream processing performance for Blue Gene/P supercomputer. 1–7. 3 indexed citations
6.
Ganesan, Karthik, Lizy K. John, Valentina Salapura, & James Sexton. (2008). A Performance Counter Based Workload Characterization on Blue Gene/P. 2790. 330–337. 15 indexed citations
7.
Bhanot, Gyan, John M. Dennis, Jim Edwards, et al.. (2008). EARLY EXPERIENCES WITH THE 360TF IBM BLUE GENE/L PLATFORM. International Journal of Computational Methods. 5(2). 237–253. 8 indexed citations
8.
King, Alan J., et al.. (2008). Asynchronous task dispatch for high throughput computing for the eServer IBM Blue Gene® Supercomputer. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1. 1–7. 7 indexed citations
9.
Streitz, Frederick H., James N. Glosli, M. V. Patel, et al.. (2006). Simulating solidification in metals at high pressure: The drive to petascale computing. Journal of Physics Conference Series. 46. 254–267. 24 indexed citations
10.
Sachs, Ivo, Siddhartha Sen, & James Sexton. (2006). Elements of Statistical Mechanics. Cambridge University Press eBooks. 5 indexed citations
11.
Bhanot, Gyan, et al.. (2005). QCD on the BlueGene/L Supercomputer. Nuclear Physics B - Proceedings Supplements. 140. 823–825. 1 indexed citations
12.
Nisbet, Andy, et al.. (2005). FPGA Implementation of a Lattice Quantum Chromodynamics Algorithm Using Logarithmic Arithmetic. 146b–146b. 6 indexed citations
13.
Adams, David, et al.. (1998). A lattice calculation of the R-Torsion for U(1) Chern-Simons theory. Nuclear Physics B - Proceedings Supplements. 63(1-3). 492–494. 1 indexed citations
14.
Chen, Dong, Ping Chen, Norman H. Christ, et al.. (1998). The QCDSP project —a status report. Nuclear Physics B - Proceedings Supplements. 60(1-2). 241–245. 2 indexed citations
15.
Sexton, James & D. Weingarten. (1997). Error estimate for the valence approximation and for a systematic expansion of full QCD. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 55(7). 4025–4035. 10 indexed citations
16.
Sexton, James, A. Vaccarino, & D. Weingarten. (1996). Coupling constants for scalar glueball decay. Nuclear Physics B - Proceedings Supplements. 47(1-3). 128–135. 19 indexed citations
17.
Sexton, James, A. Vaccarino, & D. Weingarten. (1995). Scalar glueball decay. Nuclear Physics B - Proceedings Supplements. 42(1-3). 279–281. 9 indexed citations
18.
Butler, F., H. Chen, James Sexton, A. Vaccarino, & D. Weingarten. (1993). Infinite volume, continuum limit of valence approximation hadron masses. Nuclear Physics B - Proceedings Supplements. 30. 377–380. 3 indexed citations
19.
Butler, F., H. Chen, James Sexton, A. Vaccarino, & D. Weingarten. (1993). Hadron mass predictions of the valence approximation to lattice QCD. Physical Review Letters. 70(19). 2849–2852. 61 indexed citations
20.
Butler, F., Hong Chen, James Sexton, A. Vaccarino, & D. Weingarten. (1992). Volume dependence of the valence Wilson fermion mass spectrum. Nuclear Physics B - Proceedings Supplements. 26. 287–289. 8 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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