L. Gray

64.6k total citations
10 papers, 72 citations indexed

About

L. Gray is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Condensed Matter Physics. According to data from OpenAlex, L. Gray has authored 10 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 2 papers in Computer Networks and Communications and 1 paper in Condensed Matter Physics. Recurrent topics in L. Gray's work include Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (7 papers) and Advanced Data Storage Technologies (2 papers). L. Gray is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (7 papers) and Advanced Data Storage Technologies (2 papers). L. Gray collaborates with scholars based in United States, Switzerland and Philippines. L. Gray's co-authors include G. B. Cerati, Jim Kowalkowski, Jean-Roch Vlimant, P. Calafiura, Steven Farrell, Mayur Mudigonda, Aristeidis Tsaris, E. Levine, Dustin Anderson and Guy Ziv and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Investigative Dermatology and Physica A Statistical Mechanics and its Applications.

In The Last Decade

L. Gray

8 papers receiving 70 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Gray United States 6 39 19 16 10 8 10 72
G. B. Cerati United States 5 31 0.8× 25 1.3× 11 0.7× 11 1.1× 6 0.8× 17 69
A. Gheaţă Switzerland 5 56 1.4× 11 0.6× 31 1.9× 8 0.8× 6 0.8× 13 89
Steven Farrell United States 6 39 1.0× 27 1.4× 11 0.7× 24 2.4× 12 1.5× 14 93
A. Glazov Russia 6 61 1.6× 15 0.8× 10 0.6× 4 0.4× 2 0.3× 16 98
A. Fucci Switzerland 4 35 0.9× 11 0.6× 3 0.2× 25 2.5× 5 0.6× 17 99
C. Stuart United Kingdom 6 81 2.1× 21 1.1× 16 1.0× 14 1.4× 32 4.0× 11 105
T. Dorigo Italy 7 87 2.2× 37 1.9× 8 0.5× 8 0.8× 8 1.0× 26 129
A. Roy United States 6 42 1.1× 13 0.7× 14 0.9× 3 0.3× 8 1.0× 19 87
S. Aydin Türkiye 7 53 1.4× 15 0.8× 35 2.2× 10 1.0× 2 0.3× 16 92
Panagiotis Spentzouris United States 3 27 0.7× 54 2.8× 6 0.4× 6 0.6× 5 0.6× 10 82

Countries citing papers authored by L. Gray

Since Specialization
Citations

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

Fields of papers citing papers by L. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Gray

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

All Works

10 of 10 papers shown
1.
2.
Gutsche, O., T. Bose, M. Votava, et al.. (2024). The U.S. CMS HL-LHC R&D Strategic Plan. SHILAP Revista de lepidopterología. 295. 4050–4050.
3.
Aurisano, A., G. B. Cerati, Jim Kowalkowski, et al.. (2021). Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers. SHILAP Revista de lepidopterología. 251. 3054–3054. 7 indexed citations
4.
Gardner, R. W., L. Gray, M. S. Neubauer, et al.. (2020). ServiceX A Distributed, Caching, Columnar Data Delivery Service. SHILAP Revista de lepidopterología. 245. 4043–4043. 6 indexed citations
5.
Tsaris, Aristeidis, Dustin Anderson, J. Bendavid, et al.. (2018). The HEP.TrkX Project: Deep Learning for Particle Tracking. Journal of Physics Conference Series. 1085. 42023–42023. 12 indexed citations
6.
Farrell, Steven, Dustin Anderson, P. Calafiura, et al.. (2017). The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking. SHILAP Revista de lepidopterología. 150. 3–3. 22 indexed citations
7.
Chekanov, S., A. V. Kotwal, L. Gray, et al.. (2017). Initial performance studies of a general-purpose detector for multi-TeV physics at a 100 TeVppcollider. Journal of Instrumentation. 12(6). P06009–P06009. 5 indexed citations
8.
Rivera, Esteban Currás, M. Fernández, C. Gallrapp, et al.. (2016). Radiation hardness and precision timing study of silicon detectors for the CMS High Granularity Calorimeter (HGC). Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 845. 60–63. 11 indexed citations
9.
Madorsky, A., L. Gray, V. Uzhinsky, et al.. (2004). Performance of a Pre-Production Track-Finding Processor for the Level-1 Trigger of the CMS Endcap Muon System. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
10.
Levine, E., Guy Ziv, L. Gray, & David Mukamel. (2004). Traffic jams and ordering far from thermal equilibrium. Physica A Statistical Mechanics and its Applications. 340(4). 636–646. 7 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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