J. A. Raine

38.3k total citations
19 papers, 179 citations indexed

About

J. A. Raine is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. A. Raine has authored 19 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nuclear and High Energy Physics, 7 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. A. Raine's work include Particle physics theoretical and experimental studies (15 papers), Particle Detector Development and Performance (5 papers) and Computational Physics and Python Applications (5 papers). J. A. Raine is often cited by papers focused on Particle physics theoretical and experimental studies (15 papers), Particle Detector Development and Performance (5 papers) and Computational Physics and Python Applications (5 papers). J. A. Raine collaborates with scholars based in Switzerland, United States and Germany. J. A. Raine's co-authors include T. Golling, Matthew Leigh, K. Zoch, G. Quétant, D. Sengupta, David Shih, S. B. Klein, Benjamin Nachman, Margarita Osadchy and L. F. Ehrke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Journal of High Energy Physics.

In The Last Decade

J. A. Raine

16 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. A. Raine Switzerland	10	142	59	15	11	10	19	179
L. Gouskos Switzerland	3	157 1.1×	58 1.0×	14 0.9×	21 1.9×	6 0.6×	5	197
W. Korcari Germany	5	91 0.6×	33 0.6×	19 1.3×	9 0.8×	9 0.9×	7	119
Engin Eren Germany	7	210 1.5×	80 1.4×	38 2.5×	6 0.5×	14 1.4×	11	266
Olmo Cerri United States	7	103 0.7×	67 1.1×	12 0.8×	14 1.3×	3 0.3×	9	162
Erik Buhmann Germany	9	227 1.6×	95 1.6×	41 2.7×	15 1.4×	18 1.8×	12	290
K. Pedro United States	7	83 0.6×	49 0.8×	34 2.3×	6 0.5×	7 0.7×	17	146
F. Canelli Switzerland	7	148 1.0×	69 1.2×	10 0.7×	12 1.1×	2 0.2×	16	169
P. Billoir France	7	157 1.1×	34 0.6×	10 0.7×	18 1.6×	5 0.5×	22	202
J. Kieseler Switzerland	6	115 0.8×	42 0.7×	15 1.0×	14 1.3×	7 0.7×	15	159
G. Quétant Switzerland	4	46 0.3×	17 0.3×	11 0.7×	5 0.5×	8 0.8×	7	71

Countries citing papers authored by J. A. Raine

Since Specialization

Citations

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

Fields of papers citing papers by J. A. Raine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Raine. 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 J. A. Raine. The network helps show where J. A. Raine may publish in the future.

Co-authorship network of co-authors of J. A. Raine

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

All Works

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19 of 19 papers shown

Raine, J. A., et al.. (2024). Decorrelation using optimal transport. The European Physical Journal C. 84(6). 579–579.

Leigh, Matthew, D. Sengupta, J. A. Raine, G. Quétant, & T. Golling. (2024). Faster diffusion model with improved quality for particle cloud generation. Physical review. D. 109(1). 23 indexed citations

Sengupta, D., et al.. (2024). CURTAINs flows for flows: Constructing unobserved regions with maximum likelihood estimation. SciPost Physics. 17(2). 15 indexed citations

Raine, J. A., Matthew Leigh, K. Zoch, & T. Golling. (2024). Fast and improved neutrino reconstruction in multineutrino final states with conditional normalizing flows. Physical review. D. 109(1). 13 indexed citations

Golling, T., Gregor Kasieczka, Claudius Krause, et al.. (2024). The interplay of machine learning-based resonant anomaly detection methods. The European Physical Journal C. 84(3). 241–241. 14 indexed citations

Leigh, Matthew, et al.. (2024). PC-JeDi: Diffusion for particle cloud generation in high energy physics. SciPost Physics. 16(1). 31 indexed citations

Leigh, Matthew, et al.. (2024). Improving new physics searches with diffusion models for event observables and jet constituents. Journal of High Energy Physics. 2024(4). 9 indexed citations

Quétant, G., J. A. Raine, Matthew Leigh, D. Sengupta, & T. Golling. (2024). Generating variable length full events from partons. Physical review. D. 110(7). 4 indexed citations

Shih, David, et al.. (2024). Calorimeter shower superresolution. Physical review. D. 109(9). 10 indexed citations

10.

Golling, T., L. Heinrich, M. Kagan, et al.. (2024). Masked particle modeling on sets: towards self-supervised high energy physics foundation models. Machine Learning Science and Technology. 5(3). 35074–35074. 15 indexed citations

11.

Sengupta, D., et al.. (2024). skycurtains: model-agnostic search for stellar streams with Gaia data. Monthly Notices of the Royal Astronomical Society. 536(2). 1104–1114. 3 indexed citations

12.

Raine, J. A., et al.. (2024). Cluster Scanning: a novel approach to resonance searches. Journal of High Energy Physics. 2024(6).

13.

Ehrke, L. F., J. A. Raine, K. Zoch, M. Guth, & T. Golling. (2023). Topological reconstruction of particle physics processes using graph neural networks. Physical review. D. 107(11). 11 indexed citations

14.

Golling, T., et al.. (2023). Morphing one dataset into another with maximum likelihood estimation. Physical review. D. 108(9). 6 indexed citations

15.

Leigh, Matthew, J. A. Raine, K. Zoch, & T. Golling. (2023). $\nu$-flows: Conditional neutrino regression. SciPost Physics. 14(6). 22 indexed citations

16.

Zoch, K., et al.. (2022). Semileptonic ttbar Neutrino Regression Dataset. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

17.

Chapman, J. D., K. Cranmer, S. Gadatsch, et al.. (2020). Fast simulation methods in ATLAS: from classical to generative models. SHILAP Revista de lepidopterología. 245. 2035–2035.

18.

Raine, J. A., et al.. (2008). Introduction. International Journal of Public Sector Management. 21(4). 1 indexed citations

19.

Walker, Clive & J. A. Raine. (2002). The Impact on Courts and the Administration of Justice of the Human Rights Act 1998. SSRN Electronic Journal. 1 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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