Jeffrey Larson

2.5k total citations · 1 hit paper
79 papers, 1.6k citations indexed

About

Jeffrey Larson is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Jeffrey Larson has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 15 papers in Atomic and Molecular Physics, and Optics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Jeffrey Larson's work include Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (16 papers) and Advanced Optimization Algorithms Research (9 papers). Jeffrey Larson is often cited by papers focused on Quantum Computing Algorithms and Architecture (17 papers), Quantum Information and Cryptography (16 papers) and Advanced Optimization Algorithms Research (9 papers). Jeffrey Larson collaborates with scholars based in United States, Sweden and Germany. Jeffrey Larson's co-authors include John P. Snyder, Kuo-Yun Liang, Karl Henrik Johansson, Erik G. Larsson, Stefan M. Wild, Todd Munson, Stephen C. Billups, Fengqiao Luo, Douglas C. Wolf and Brian C. Butterworth and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Operational Research and Physical Review A.

In The Last Decade

Jeffrey Larson

75 papers receiving 1.5k citations

Hit Papers

Overview and status of metal S/D Schottky-barrier MOSFET ... 2006 2026 2012 2019 2006 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Overview and status of metal S/D Schottky-barrier MOSFET technology
    2006 382 citations Jeffrey Larson et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Larson United States 20 577 319 281 265 262 79 1.6k
Zhu Wang China 30 473 0.8× 209 0.7× 70 0.2× 102 0.4× 24 0.1× 135 2.6k
Dong Chen China 24 810 1.4× 115 0.4× 18 0.1× 67 0.3× 15 0.1× 109 2.0k
Lei Gong China 18 350 0.6× 35 0.1× 32 0.1× 28 0.1× 202 0.8× 77 1.2k
Xiangxiang Xu China 18 314 0.5× 16 0.1× 27 0.1× 74 0.3× 39 0.1× 84 1.0k
Weidong Yang China 17 225 0.4× 53 0.2× 40 0.1× 23 0.1× 12 0.0× 107 977
Hongjuan Li China 18 458 0.8× 76 0.2× 35 0.1× 31 0.1× 7 0.0× 104 1.4k
Shuai Liu China 25 355 0.6× 956 3.0× 25 0.1× 36 0.1× 18 0.1× 152 2.2k
Andy Song Australia 18 603 1.0× 52 0.2× 267 1.0× 66 0.2× 48 0.2× 76 1.7k

Countries citing papers authored by Jeffrey Larson

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Larson. A scholar is included among the top collaborators of Jeffrey Larson 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 Jeffrey Larson. Jeffrey Larson 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.
Gokhale, Pranav, et al.. (2025). Efficient frequency allocation for superconducting quantum processors using improved optimization techniques. Physical review. A. 111(1). 1 indexed citations
2.
3.
Brady, Lucas T., et al.. (2024). Binary Quantum Control Optimization with Uncertain Hamiltonians. INFORMS journal on computing. 37(1). 86–106.
4.
Larson, Jeffrey, et al.. (2024). Variational quantum state preparation for quantum-enhanced metrology in noisy systems. Physical review. A. 110(5). 3 indexed citations
5.
Brady, Lucas T., et al.. (2024). Switching Time Optimization for Binary Quantum Optimal Control. 6(1). 1–38. 1 indexed citations
6.
Larson, Jeffrey, et al.. (2024). Multistart algorithm for identifying all optima of nonconvex stochastic functions. Optimization Letters. 18(6). 1335–1360. 1 indexed citations
7.
Hudson, Stephen D., et al.. (2023). libEnsemble: A complete Python toolkit for dynamicensembles of calculations. The Journal of Open Source Software. 8(92). 6031–6031. 3 indexed citations
8.
Larson, Jeffrey, et al.. (2023). Inferring Quantum Network Topology Using Local Measurements. PRX Quantum. 4(4). 3 indexed citations
9.
Pousa, Á. Ferran, Sören Jalas, Manuel Kirchen, et al.. (2023). Bayesian optimization of laser-plasma accelerators assisted by reduced physical models. Physical Review Accelerators and Beams. 26(8). 13 indexed citations
10.
Brady, Lucas T., et al.. (2023). Binary Control Pulse Optimization for Quantum Systems. Quantum. 7. 892–892. 6 indexed citations
11.
Hampton‐Marcell, Jarrad, et al.. (2023). Leveraging national laboratories to increase Black representation in STEM: recommendations within the Department of Energy. International Journal of STEM Education. 10(1). 3 indexed citations
12.
Watson, Layne T., et al.. (2022). Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems. ACM Transactions on Mathematical Software. 48(3). 1–34. 6 indexed citations
13.
Larson, Jeffrey, et al.. (2022). Time-Constrained Capacitated Vehicle Routing Problem in Urban E-Commerce Delivery. Transportation Research Record Journal of the Transportation Research Board. 2677(2). 190–203. 12 indexed citations
14.
Smith, Ethan, et al.. (2021). LEAP: Scaling Numerical Optimization Based Synthesis Using an Incremental Approach. arXiv (Cornell University). 23 indexed citations
15.
Williams, Jeffrey G. & Jeffrey Larson. (1996). Promoting bicycle commuting: Understanding the customer. Transportation quarterly. 50(3). 67–78. 19 indexed citations
16.
Lo, Hong K., et al.. (1995). ROUTE PLANNING AND GUIDANCE: POTENTIAL BENEFITS AND IMPLICATIONS FOR PUBLIC-PRIVATE PARTNERSHIPS. 1 indexed citations
17.
Larson, Jeffrey. (1994). Induced Cytolethality and Regenerative Cell Proliferation in the Livers and Kidneys of Male B6C3F1 Mice Given Chloroform by Gavage. Fundamental and Applied Toxicology. 23(4). 537–543. 47 indexed citations
18.
Larson, Jeffrey, Douglas C. Wolf, & Brian C. Butterworth. (1993). Acute hepatotoxic and nephrotoxic effects of chloroform in male F-344 rats and female B6C3F1 mice. Fundamental and Applied Toxicology. 20(3). 302–315. 52 indexed citations
19.
Larson, Jeffrey, et al.. (1972). POLARITY SPECTRAL ANALYSIS REACTIVITY MEASUREMENT IN THE ZERO-POWER PLUTONIUM REACTOR.. Transactions of the American Nuclear Society. 1 indexed citations
20.
Larson, Jeffrey, et al.. (1970). LIQUID ORGANIC FAST-NEUTRON DETECTOR ASSEMBLY.. Transactions of the American Nuclear Society. 1 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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