Luc Hendriks

645 total citations
16 papers, 215 citations indexed

About

Luc Hendriks is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Luc Hendriks has authored 16 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 7 papers in Artificial Intelligence and 4 papers in Astronomy and Astrophysics. Recurrent topics in Luc Hendriks's work include Particle physics theoretical and experimental studies (7 papers), Computational Physics and Python Applications (6 papers) and Dark Matter and Cosmic Phenomena (4 papers). Luc Hendriks is often cited by papers focused on Particle physics theoretical and experimental studies (7 papers), Computational Physics and Python Applications (6 papers) and Dark Matter and Cosmic Phenomena (4 papers). Luc Hendriks collaborates with scholars based in Netherlands, Spain and Chile. Luc Hendriks's co-authors include S. Caron, Rob Verheyen, Roberto Ruiz de Austri, Melissa van Beekveld, Sydney Otten, G. A. Gomez-Vargas, Caspar M. van Leeuwen, Damian Podareanu, Christian M. Fromm and Christopher Eckner and has published in prestigious journals such as Journal of High Energy Physics, Astronomy and Astrophysics and Radiotherapy and Oncology.

In The Last Decade

Luc Hendriks

15 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luc Hendriks Netherlands	9	147	71	51	12	12	16	215
Rob Verheyen United Kingdom	11	635 4.3×	91 1.3×	64 1.3×	12 1.0×	7 0.6×	20	686
S.‐C. Hsu United States	7	167 1.1×	64 0.9×	18 0.4×	12 1.0×	4 0.3×	33	229
S. Chekanov United States	11	284 1.9×	44 0.6×	15 0.3×	7 0.6×	3 0.3×	60	322
S. Caron Netherlands	10	282 1.9×	102 1.4×	91 1.8×	14 1.2×	1 0.1×	31	344
Smita Chakraborty Sweden	5	408 2.8×	27 0.4×	51 1.0×	4 0.3×	7 0.6×	8	439
Bryan Ostdiek United States	13	360 2.4×	91 1.3×	196 3.8×	7 0.6×	2 0.2×	23	475
Andrzej Siódmok Poland	14	576 3.9×	45 0.6×	47 0.9×	9 0.8×	9 0.8×	42	618
Frédéric A. Dreyer United Kingdom	17	795 5.4×	75 1.1×	61 1.2×	10 0.8×	5 0.4×	28	873
O. Abdinov Canada	10	305 2.1×	16 0.2×	63 1.2×	2 0.2×	7 0.6×	23	333
L. Moneta Switzerland	8	152 1.0×	33 0.5×	13 0.3×	5 0.4×	9 0.8×	43	215

Countries citing papers authored by Luc Hendriks

Since Specialization

Citations

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

Fields of papers citing papers by Luc Hendriks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Hendriks

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

All Works

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16 of 16 papers shown

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

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

Sinha, Nidhi, Haowen Yang, Luc Hendriks, et al.. (2022). Microfluidic chip for precise trapping of single cells and temporal analysis of signaling dynamics. Communications Engineering. 1(1). 13 indexed citations

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

Otten, Sydney, S. Caron, Melissa van Beekveld, et al.. (2021). . UvA-DARE (University of Amsterdam). 53 indexed citations

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

Panes, B., Christopher Eckner, Luc Hendriks, et al.. (2021). Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge. Astronomy and Astrophysics. 656. A62–A62. 11 indexed citations

Primakov, Sergey, Janita E. van Timmeren, Guorong Wu, et al.. (2021). OC-0557 AI-based NSCLC detection and segmentation: faster and more prognostic than manual segmentation. Radiotherapy and Oncology. 161. S441–S443. 1 indexed citations

Balázs, Csaba, Melissa van Beekveld, S. Caron, et al.. (2021). A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications. Journal of High Energy Physics. 2021(5). 14 indexed citations

10.

Davelaar, Jordy, Luc Hendriks, Oliver Porth, et al.. (2020). . UvA-DARE (University of Amsterdam). 20 indexed citations

11.

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

12.

Otten, Sydney, Luc Hendriks, Melissa van Beekveld, et al.. (2019). Event Generation and Statistical Sampling with Deep Generative Models. arXiv (Cornell University).

13.

Diblen, F., Jisk Attema, Rena Bakhshi, et al.. (2019). spot: Open Source framework for scientific data repository and interactive visualization. SoftwareX. 9. 328–331. 2 indexed citations

14.

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

15.

Caron, S., G. A. Gomez-Vargas, Luc Hendriks, & Roberto Ruiz de Austri. (2018). Analyzing γ rays of the Galactic Center with deep learning. Journal of Cosmology and Astroparticle Physics. 2018(5). 58–58. 20 indexed citations

16.

Achterberg, A., Melissa van Beekveld, S. Caron, et al.. (2017). Implications of the Fermi-LAT Pass 8 Galactic Center excess on supersymmetric dark matter. Journal of Cosmology and Astroparticle Physics. 2017(12). 40–40. 10 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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