William Benoit

738 total citations
4 papers, 18 citations indexed

About

William Benoit is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Geophysics. According to data from OpenAlex, William Benoit has authored 4 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Astronomy and Astrophysics, 2 papers in Artificial Intelligence and 1 paper in Geophysics. Recurrent topics in William Benoit's work include Gamma-ray bursts and supernovae (4 papers), Pulsars and Gravitational Waves Research (4 papers) and Seismology and Earthquake Studies (2 papers). William Benoit is often cited by papers focused on Gamma-ray bursts and supernovae (4 papers), Pulsars and Gravitational Waves Research (4 papers) and Seismology and Earthquake Studies (2 papers). William Benoit collaborates with scholars based in United States, India and Taiwan. William Benoit's co-authors include Philip Harris, M. Saleem, E. Katsavounidis, M. W. Coughlin, Deep Chatterjee, Dylan Rankin, Ekaterina Govorkova, P. C. Fan, Tri Nguyên and J. Krupa and has published in prestigious journals such as Physical review. D, Classical and Quantum Gravity and Machine Learning Science and Technology.

In The Last Decade

William Benoit

4 papers receiving 10 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Benoit United States	3	11	9	5	3	2	4	18
Naoki Koyama Japan	3	12 1.1×	7 0.8×	4 0.8×	2 0.7×		5	17
S. J. Jadhav India	3	20 1.8×	7 0.8×	8 1.6×	3 1.0×	1 0.5×	5	28
J. H. Clayton United States	3	22 2.0×	6 0.7×	3 0.6×	4 1.3×	1 0.5×	5	31
P. Jung South Korea	3	18 1.6×	9 1.0×	10 2.0×	4 1.3×		4	22
E. A. Quintero United Kingdom	3	12 1.1×	3 0.3×	6 1.2×	3 1.0×		6	15
A. Trovato Italy	3	17 1.5×	7 0.8×	7 1.4×	2 0.7×	1 0.5×	6	25
C. Pankow Canada	2	22 2.0×	6 0.7×	3 0.6×	4 1.3×		2	22
G. Hemming Italy	3	19 1.7×	3 0.3×	8 1.6×	5 1.7×		6	19
Jeffrey A. Berger United States	3	13 1.2×	5 0.6×	3 0.6×			3	18
L. Trozzo Italy	4	9 0.8×	3 0.3×	4 0.8×	6 2.0×		8	16

Countries citing papers authored by William Benoit

Since Specialization

Citations

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

Fields of papers citing papers by William Benoit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Benoit

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

All Works

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4 of 4 papers shown

1.

Benoit, William, Deep Chatterjee, M. Saleem, et al.. (2025). Machine-learning pipeline for real-time detection of gravitational waves from compact binary coalescences. Physical review. D. 111(4). 5 indexed citations

2.

Govorkova, Ekaterina, William Benoit, Deep Chatterjee, et al.. (2024). GWAK: gravitational-wave anomalous knowledge with recurrent autoencoders. Machine Learning Science and Technology. 5(2). 25020–25020. 8 indexed citations

3.

Saleem, M., S.-W. Yeh, R. M. Magee, et al.. (2024). Demonstration of machine learning-assisted low-latency noise regression in gravitational wave detectors. Classical and Quantum Gravity. 41(19). 195024–195024. 2 indexed citations

4.

Rankin, Dylan, Philip Harris, E. Katsavounidis, et al.. (2022). A Software Ecosystem for Deploying Deep Learning in Gravitational Wave Physics. 9–17. 3 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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