C. G. Lester

110.4k total citations
42 papers, 1.3k citations indexed

About

C. G. Lester is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, C. G. Lester has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 4 papers in Molecular Biology. Recurrent topics in C. G. Lester's work include Particle physics theoretical and experimental studies (32 papers), High-Energy Particle Collisions Research (14 papers) and Quantum Chromodynamics and Particle Interactions (11 papers). C. G. Lester is often cited by papers focused on Particle physics theoretical and experimental studies (32 papers), High-Energy Particle Collisions Research (14 papers) and Quantum Chromodynamics and Particle Interactions (11 papers). C. G. Lester collaborates with scholars based in United Kingdom, United States and South Sudan. C. G. Lester's co-authors include A. J. Barr, D. Summers, B. C. Allanach, Ben Gripaios, M. J. White, B.R. Webber, Jonathan L. Feng, Martin Parker, Yael Shadmi and Yosef Nir and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Journal of Computational Physics.

In The Last Decade

C. G. Lester

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. G. Lester United Kingdom 17 1.2k 384 111 24 20 42 1.3k
Nathan P. Hartland United Kingdom 13 2.7k 2.3× 252 0.7× 122 1.1× 25 1.0× 4 0.2× 18 2.8k
Kiel Howe United States 9 407 0.3× 123 0.3× 147 1.3× 11 0.5× 9 0.5× 12 469
M. Moretti Italy 17 1.6k 1.3× 237 0.6× 55 0.5× 24 1.0× 4 0.2× 53 1.6k
Raffaele Tito D’Agnolo United States 15 714 0.6× 469 1.2× 110 1.0× 21 0.9× 6 0.3× 27 846
S. Caron Netherlands 10 282 0.2× 91 0.2× 102 0.9× 12 0.5× 6 0.3× 31 344
Patrick Komiske United States 13 568 0.5× 36 0.1× 179 1.6× 25 1.0× 5 0.3× 18 655
Rob Verheyen United Kingdom 11 635 0.5× 64 0.2× 91 0.8× 17 0.7× 4 0.2× 20 686
Frédéric A. Dreyer United Kingdom 17 795 0.7× 61 0.2× 75 0.7× 13 0.5× 30 1.5× 28 873
Giuseppe Marchesini Italy 8 819 0.7× 95 0.2× 20 0.2× 20 0.8× 2 0.1× 17 860
Marco Guzzi United States 18 2.3k 2.0× 168 0.4× 44 0.4× 21 0.9× 2 0.1× 56 2.4k

Countries citing papers authored by C. G. Lester

Since Specialization
Citations

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

Fields of papers citing papers by C. G. Lester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. G. Lester. 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 C. G. Lester. The network helps show where C. G. Lester may publish in the future.

Co-authorship network of co-authors of C. G. Lester

This figure shows the co-authorship network connecting the top 25 collaborators of C. G. Lester. A scholar is included among the top collaborators of C. G. Lester 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 C. G. Lester. C. G. Lester 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.
Handley, Will, et al.. (2025). Spatial distribution of the large-scale structure: An unsupervised search for parity violation. Physical review. D. 111(12). 1 indexed citations
2.
Lester, C. G., et al.. (2022). Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider. Journal of High Energy Physics. 2022(8). 2 indexed citations
3.
Gripaios, Ben, et al.. (2020). Lorentz- and permutation-invariants of particles. Apollo (University of Cambridge). 4 indexed citations
4.
Lester, C. G., Ruth E. Baker, Michael B. Giles, & Christian A. Yates. (2016). Extending the Multi-level Method for the Simulation of Stochastic Biological Systems. Bulletin of Mathematical Biology. 78(8). 1640–1677. 11 indexed citations
5.
Lester, C. G., Christian A. Yates, Michael B. Giles, & Ruth E. Baker. (2015). An adaptive multi-level simulation algorithm for stochastic biological systems. The Journal of Chemical Physics. 142(2). 24113–24113. 13 indexed citations
6.
Barr, A. J., Ben Gripaios, & C. G. Lester. (2012). Reweighing the Evidence for a Light Higgs Boson in DileptonicWBoson Decays. Physical Review Letters. 108(4). 41803–41803. 7 indexed citations
7.
Barr, A. J., T. J. Khoo, Partha Konar, et al.. (2012). A storm in a "T" cup. AIP conference proceedings. 722–724. 1 indexed citations
8.
Barr, A. J., T. J. Khoo, Partha Konar, et al.. (2011). A storm in a \T" cup: the connoisseur's guide to transverse projections and mass-constraining variables. arXiv (Cornell University). 1 indexed citations
9.
Barr, A. J., et al.. (2011). Speedy Higgs boson discovery in decays to tau lepton pairs: h → ττ. Journal of High Energy Physics. 2011(10). 15 indexed citations
10.
Barr, A. J., Ben Gripaios, & C. G. Lester. (2009). Transverse masses and kinematic constraints: from the boundary to the crease. Journal of High Energy Physics. 2009(11). 96–96. 60 indexed citations
11.
Allanach, B. C., Joseph P. Conlon, & C. G. Lester. (2008). Measuring smuon-selectron mass splitting at the CERN LHC and patterns of supersymmetry breaking. Physical review. D. Particles, fields, gravitation, and cosmology. 77(7). 17 indexed citations
12.
Lester, C. G., et al.. (2007). Three body kinematic endpoints in SUSY models with non-universal Higgs masses. Journal of High Energy Physics. 2007(10). 51–51. 16 indexed citations
13.
Lester, C. G.. (2006). Trackless ring identification and pattern recognition in Ring Imaging Cherenkov (RICH) detectors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 560(2). 621–632. 6 indexed citations
14.
Allanach, B. C., C. G. Lester, & Arne Weber. (2006). The dark side of mSUGRA. Journal of High Energy Physics. 2006(12). 65–65. 31 indexed citations
15.
Allanach, B. C. & C. G. Lester. (2006). Multidimensional mSUGRA likelihood maps. Physical review. D. Particles, fields, gravitation, and cosmology. 73(1). 69 indexed citations
16.
Lester, C. G., et al.. (2005). Determining SUSY model parameters and masses at the LHC using cross sections, kinematic edges and other observables. CERN Document Server (European Organization for Nuclear Research). 50 indexed citations
17.
Barr, A. J., et al.. (2003). A variable for measuring masses at hadron colliders when missing energy is expected;mT2: the truth behind the glamour. Journal of Physics G Nuclear and Particle Physics. 29(10). 2343–2363. 269 indexed citations
18.
Barr, A. J., C. G. Lester, Martin Parker, B. C. Allanach, & Peter Richardson. (2003). Discovering anomaly-mediated supersymmetry at the LHC. Journal of High Energy Physics. 2003(3). 45–45. 55 indexed citations
19.
Lester, C. G.. (2001). Model independent sparticle mass measurements at ATLAS. CERN Bulletin. 17 indexed citations
20.
Lester, C. G. & D. Summers. (1999). Measuring masses of semi-invisibly decaying particle pairs produced at hadron colliders. Apollo (University of Cambridge). 258 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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