S. Caron

73.0k total citations
31 papers, 344 citations indexed

About

S. Caron is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, S. Caron has authored 31 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nuclear and High Energy Physics, 10 papers in Artificial Intelligence and 7 papers in Astronomy and Astrophysics. Recurrent topics in S. Caron's work include Particle physics theoretical and experimental studies (19 papers), Dark Matter and Cosmic Phenomena (10 papers) and Computational Physics and Python Applications (8 papers). S. Caron is often cited by papers focused on Particle physics theoretical and experimental studies (19 papers), Dark Matter and Cosmic Phenomena (10 papers) and Computational Physics and Python Applications (8 papers). S. Caron collaborates with scholars based in Netherlands, Spain and United Kingdom. S. Caron's co-authors include Roberto Ruiz de Austri, Luc Hendriks, Rob Verheyen, Melissa van Beekveld, Jong Soo Kim, Sydney Otten, Krzysztof Rolbiecki, Bob Stienen, Roberto Trotta and Gianfranco Bertone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Astronomy and Astrophysics.

In The Last Decade

S. Caron

26 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Caron Netherlands 10 282 102 91 19 14 31 344
Luc Hendriks Netherlands 9 147 0.5× 71 0.7× 51 0.6× 10 0.5× 12 0.9× 16 215
T. Golling Switzerland 13 336 1.2× 90 0.9× 58 0.6× 12 0.6× 19 1.4× 34 388
Rob Verheyen United Kingdom 11 635 2.3× 91 0.9× 64 0.7× 20 1.1× 12 0.9× 20 686
Barry M. Dillon United Kingdom 14 414 1.5× 139 1.4× 121 1.3× 7 0.4× 15 1.1× 27 453
Melissa van Beekveld Netherlands 12 347 1.2× 68 0.7× 39 0.4× 11 0.6× 5 0.4× 32 375
Bryan Ostdiek United States 13 360 1.3× 91 0.9× 196 2.2× 10 0.5× 7 0.5× 23 475
Ramon Winterhalder Germany 7 185 0.7× 73 0.7× 18 0.2× 19 1.0× 16 1.1× 11 233
Kiel Howe United States 9 407 1.4× 147 1.4× 123 1.4× 11 0.6× 6 0.4× 12 469
Jack H. Collins United States 8 340 1.2× 168 1.6× 38 0.4× 11 0.6× 7 0.5× 13 372
Frédéric A. Dreyer United Kingdom 17 795 2.8× 75 0.7× 61 0.7× 23 1.2× 10 0.7× 28 873

Countries citing papers authored by S. Caron

Since Specialization
Citations

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

Fields of papers citing papers by S. Caron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Caron

This figure shows the co-authorship network connecting the top 25 collaborators of S. Caron. A scholar is included among the top collaborators of S. Caron 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 S. Caron. S. Caron 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.
Caron, S., et al.. (2024). Towards a Benchmark for Scientific Understanding in Humans and Machines. Minds and Machines. 34(1). 8 indexed citations
2.
Bhattacharyya, Saptashwa, Roberto Ruiz de Austri, S. Caron, et al.. (2023). AutoSourceID-Classifier. Astronomy and Astrophysics. 680. A109–A109. 8 indexed citations
3.
Austri, Roberto Ruiz de, Saptashwa Bhattacharyya, S. Caron, et al.. (2023). AutoSourceID-FeatureExtractor. Astronomy and Astrophysics. 680. A108–A108. 4 indexed citations
4.
Kortman, B., Irem Boybat, Roberto Ruiz de Austri, et al.. (2023). Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. SHILAP Revista de lepidopterología. 1(1). 5 indexed citations
5.
Beekveld, Melissa van, et al.. (2023). Non-standard neutrino spectra from annihilating neutralino dark matter. SciPost Physics Core. 6(1).
6.
Caron, S., Christopher Eckner, Luc Hendriks, et al.. (2023). Mind the gap: the discrepancy between simulation and reality drives interpretations of the Galactic Center Excess. Journal of Cosmology and Astroparticle Physics. 2023(6). 13–13. 7 indexed citations
7.
Caron, S., et al.. (2023). Mixture-of-Theories training: can we find new physics and anomalies better by mixing physical theories?. Journal of High Energy Physics. 2023(3). 6 indexed citations
8.
Caron, S., Luc Hendriks, & Rob Verheyen. (2022). Rare and Different: Anomaly Scores from a combination of likelihood and out-of-distribution models to detect new physics at the LHC. SciPost Physics. 12(2). 33 indexed citations
9.
Beekveld, Melissa van, S. Caron, Luc Hendriks, et al.. (2021). Combining outlier analysis algorithms to identify new physics at the LHC. Radboud Repository (Radboud University). 27 indexed citations
10.
Otten, Sydney, S. Caron, Melissa van Beekveld, et al.. (2021). . UvA-DARE (University of Amsterdam). 53 indexed citations
11.
Diblen, F., Luc Hendriks, Bob Stienen, et al.. (2021). \nInteractive Web-Based Visualization of Multidimensional Physical and Astronomical Data. Radboud Repository (Radboud University). 1 indexed citations
12.
Otten, Sydney, Krzysztof Rolbiecki, S. Caron, et al.. (2020). \nDeepXS: fast approximation of MSSM electroweak cross sections at NLO. Radboud Repository (Radboud University). 8 indexed citations
13.
Otten, Sydney, S. Caron, Melissa van Beekveld, et al.. (2019). Event Generation and Statistical Sampling with Deep Generative Models and a Density Information Buffer. arXiv (Cornell University). 2 indexed citations
14.
Otten, Sydney, Luc Hendriks, Melissa van Beekveld, et al.. (2019). Event Generation and Statistical Sampling with Deep Generative Models. arXiv (Cornell University).
15.
Diblen, F., Jisk Attema, Rena Bakhshi, et al.. (2018). SPOT: Open Source Visual Data Analytics Platform for High-Dimensional Scientific Data. 3. 411–411. 1 indexed citations
16.
Caron, S., Jong Soo Kim, Krzysztof Rolbiecki, Roberto Ruiz de Austri, & Bob Stienen. (2017). The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning. The European Physical Journal C. 77(4). 257–257. 42 indexed citations
17.
Aad, G., Geert-Jan Besjes, S. Caron, et al.. (2016). Centrality, rapidity, and transverse momentum dependence of isolated prompt photon production in lead-lead collisions at √sNN = 2.76 TeV measured sth the ATLAS detector. Physical review. C. 93. 1–28.
18.
Bertone, Gianfranco, Francesca Calore, S. Caron, et al.. (2016). Global analysis of the pMSSM in light of the Fermi GeV excess: prospects for the LHC Run-II and astroparticle experiments. Journal of Cosmology and Astroparticle Physics. 2016(4). 37–37. 35 indexed citations
19.
Beenakker, W., et al.. (2015). Higgs, di-Higgs and tri-Higgs production via SUSY processes at the LHC with 14 TeV. Journal of High Energy Physics. 2015(5). 7 indexed citations
20.
Bertone, Gianfranco, Geert-Jan Besjes, S. Caron, et al.. (2014). Profile likelihood maps of a 15-dimensional MSSM. Data Archiving and Networked Services (DANS). 29 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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