G. Dezoort

6.1k total citations
5 papers, 46 citations indexed

About

G. Dezoort is a scholar working on Electrical and Electronic Engineering, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, G. Dezoort has authored 5 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 3 papers in Nuclear and High Energy Physics and 2 papers in Artificial Intelligence. Recurrent topics in G. Dezoort's work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). G. Dezoort is often cited by papers focused on Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). G. Dezoort collaborates with scholars based in United States, France and United Kingdom. G. Dezoort's co-authors include Peter Battaglia, C. Biscarat, Jean-Roch Vlimant, Scott Hauck, S. J. Thais, J. Duarte, K. Lieret, P. Elmer, Shi‐Yu Huang and Markus Julian Atkinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Reviews Physics and Frontiers in Big Data.

In The Last Decade

G. Dezoort

3 papers receiving 46 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Dezoort United States	3	21	19	9	6	6	5	46
I. Ojalvo United States	3	19 0.9×	17 0.9×	7 0.8×	4 0.7×	3 0.5×	4	38
S. J. Thais United States	3	13 0.6×	15 0.8×	7 0.8×	3 0.5×	4 0.7×	6	31
C. Biscarat France	4	24 1.1×	15 0.8×	3 0.3×	5 0.8×	3 0.5×	6	42
P. Harris United States	2	23 1.1×	24 1.3×	11 1.2×	9 1.5×	4 0.7×	2	57
N. V. Tran United States	2	23 1.1×	22 1.2×	10 1.1×	9 1.5×	3 0.5×	4	55
M. Rieger Germany	4	44 2.1×	23 1.2×	6 0.7×	8 1.3×	5 0.8×	15	58
M. S. Neubauer United States	6	35 1.7×	19 1.0×	10 1.1×	29 4.8×	4 0.7×	22	82
P. Musella Switzerland	3	53 2.5×	17 0.9×	7 0.8×	7 1.2×	3 0.5×	8	63
T. Suzuki Japan	3	6 0.3×	12 0.6×	5 0.6×	13 2.2×	3 0.5×	11	64
A. Wurz Germany	5	25 1.2×	22 1.2×	4 0.4×	9 1.5×	6 1.0×	14	59

Countries citing papers authored by G. Dezoort

Since Specialization

Citations

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

Fields of papers citing papers by G. Dezoort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Dezoort

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Dezoort, G. & Boris Hanin. (2025). Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations. SIAM Journal on Mathematics of Data Science. 7(1). 1–27.

2.

Lieret, K. & G. Dezoort. (2024). An Object Condensation Pipeline for Charged Particle Tracking at the High Luminosity LHC. SHILAP Revista de lepidopterología. 295. 9004–9004. 2 indexed citations

3.

Dezoort, G., Peter Battaglia, C. Biscarat, & Jean-Roch Vlimant. (2023). Graph neural networks at the Large Hadron Collider. Nature Reviews Physics. 5(5). 281–303. 22 indexed citations

4.

Huang, Shi‐Yu, J. Duarte, Markus Julian Atkinson, et al.. (2022). Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers in Big Data. 5. 828666–828666. 22 indexed citations

5.

Dezoort, G. & Fan Xia. (2017). The CMS electron and photon trigger for the LHC Run 2. Bulletin of the American Physical Society. 2017.

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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