S. Lowette

51.5k total citations
12 papers, 144 citations indexed

About

S. Lowette is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, S. Lowette has authored 12 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in S. Lowette's work include Particle physics theoretical and experimental studies (10 papers), Particle Detector Development and Performance (6 papers) and Dark Matter and Cosmic Phenomena (3 papers). S. Lowette is often cited by papers focused on Particle physics theoretical and experimental studies (10 papers), Particle Detector Development and Performance (6 papers) and Dark Matter and Cosmic Phenomena (3 papers). S. Lowette collaborates with scholars based in Belgium, United States and Austria. S. Lowette's co-authors include Kristof Van Laerhoven, Lorenzo Calibbi, Alberto Mariotti, Laura Lopez-Honorez, N. Daci, I. De Bruyn, Michel H. G. Tytgat, Bryan Zaldívar, Simon Knapen and J. D’Hondt and has published in prestigious journals such as Journal of High Energy Physics, Annual Review of Nuclear and Particle Science and Journal of Physics Conference Series.

In The Last Decade

S. Lowette

10 papers receiving 131 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Lowette Belgium	6	90	44	37	20	13	12	144
K. Pedro United States	7	83 0.9×	19 0.4×	34 0.9×	8 0.4×	49 3.8×	17	146
T. K. Aarrestad Switzerland	6	83 0.9×	5 0.1×	22 0.6×	9 0.5×	59 4.5×	8	148
Juan Soto Germany	6	9 0.1×	29 0.7×	10 0.3×	60 3.0×	21 1.6×	14	135
Christopher J. Miller United States	5	13 0.1×	32 0.7×	9 0.2×	6 0.3×	42 3.2×	8	109
E. Aymerich Italy	5	54 0.6×	8 0.2×	4 0.1×	13 0.7×	29 2.2×	12	91
R. Cancelliere Italy	6	8 0.1×	9 0.2×	16 0.4×	6 0.3×	31 2.4×	20	85
R. Di Sipio Italy	3	14 0.2×	10 0.2×	6 0.2×	4 0.2×	63 4.8×	4	87
S. Panitkin United States	10	121 1.3×	5 0.1×	5 0.1×	181 9.1×	6 0.5×	37	275
G. B. Cerati United States	5	31 0.3×	2 0.0×	10 0.3×	11 0.6×	25 1.9×	17	69
S. Osborne United States	4	15 0.2×	46 1.0×	10 0.3×	9 0.5×	2 0.2×	5	91

Countries citing papers authored by S. Lowette

Since Specialization

Citations

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

Fields of papers citing papers by S. Lowette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Lowette. A scholar is included among the top collaborators of S. Lowette 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. Lowette. S. Lowette 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:

12 of 12 papers shown

1.

Knapen, Simon & S. Lowette. (2023). A Guide to Hunting Long-Lived Particles at the LHC. Annual Review of Nuclear and Particle Science. 73(1). 421–449. 7 indexed citations

2.

Calibbi, Lorenzo, Laura Lopez-Honorez, S. Lowette, & Alberto Mariotti. (2018). Singlet-Doublet dark matter freeze-in: LHC displaced signatures versus cosmology. Journal of High Energy Physics. 2018(9). 35 indexed citations

3.

Daci, N., I. De Bruyn, S. Lowette, Michel H. G. Tytgat, & Bryan Zaldívar. (2015). Simplified SIMPs and the LHC. Journal of High Energy Physics. 2015(11). 26 indexed citations

4.

Adam, W., V. Adler, B. Hegner, et al.. (2010). PAT: The CMS Physics Analysis Toolkit. Journal of Physics Conference Series. 219(3). 32017–32017. 9 indexed citations

5.

Mulders, P. Van, J. D’Hondt, J. Heyninck, & S. Lowette. (2006). Observablity of same-charge lepton topology in di-leptonic t/t bar events.

6.

Lowette, S., et al.. (2006). Offline Calibration of b-jet Identification Efficiencies. CERN Bulletin. 3 indexed citations

7.

Heyninck, J., S. Lowette, & J. D’Hondt. (2006). Top quark mass measurement in single leptonic t anti-t events.

8.

Lowette, S.. (2006). B-Tagging as a Tool for Charged Higgs Boson Identification in CMS. 1 indexed citations

9.

Lowette, S., J. D’Hondt, & P. Vanlaer. (2006). Charged MSSM Higgs boson observability in the H+ -¿ t b decay. CERN Bulletin. 2 indexed citations

10.

D’Hondt, J., F.-P. Schilling, Luc Pape, et al.. (2005). Fitting of Event Topologies with External Kinematic Constraints in CMS. CERN Bulletin. 8 indexed citations

11.

Lowette, S. & J. Heyninck. (2004). Heavy Charged MSSM Higgs Bosons in the H+- -> tb Decay in CMS. 1 indexed citations

12.

Laerhoven, Kristof Van, et al.. (2002). Real-time analysis of data from many sensors with neural networks. 115–122. 52 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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