K. Cranmer

122.0k citations
69 papers · 2.9k · 2 hit papers · h-index 22

Impact in

Papers in

    • Particle physics theoretical and experimental studies 37
    • Particle Detector Development and Performance 23
    • High-Energy Particle Collisions Research 14
    • Quantum Chromodynamics and Particle Interactions 7
    • Computational Physics and Python Applications 10
    • Gaussian Processes and Bayesian Inference 8

K. Cranmer

62 papers receiving 2.8k citations

K. Cranmer's Hit Papers

Machine learning and the physical sciences 2019 · 1.4k citations
1.4k0+2+5Years since publication4008001.2k

Peers

K. Cranmer
Comparison fields: 5 of 145
  • Nuclear and High Energy Physics 1.1k
  • Statistical and Nonlinear Physics 329
  • Artificial Intelligence 850
  • Condensed Matter Physics 221
  • Astronomy and Astrophysics 272
Replace Stefan M. Wild with:
Stefan M. Wild United States
Ronald F. Boisvert United States
A. L. Bello United Kingdom
Daniel W. Lozier United States
S Duane United Kingdom
D. E. G. Hare Canada
Laurent Daudet France
Maria Schuld South Africa
Duncan Roweth United Kingdom
B.J. Pendleton United Kingdom
K. Cranmer relative to Stefan M. Wild United States Stefan M. Wild's profile →
Citations per field
00.5×
Stefan M. Wild · 1×
Citations per year

Countries citing papers authored by K. Cranmer

Since Specialization
Citations

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

Fields of papers citing papers by K. Cranmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Cranmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Cranmer Line = papers co-authored together K. Cranmer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning and the physical sciences
Hit paper breakdown →
20191446
2
Deep Learning and Its Application to LHC Physics
Hit paper breakdown →
2018205
3 2020114
4 201888
5 200388
6 200183
7 202181
8 202076
9 202164
10 202154
11 201145
12 201143
13 201941
14 201636
15 202233
16 201731
17 201127
18 202226
19 201225
20 201624

About K. Cranmer

K. Cranmer is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Computer Networks and Communications, Information Systems and Management and Condensed Matter Physics, having authored 69 papers that have together received 2.9k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (37 papers), Particle Detector Development and Performance (23 papers), High-Energy Particle Collisions Research (14 papers), Computational Physics and Python Applications (10 papers), Distributed and Parallel Computing Systems (10 papers), Gaussian Processes and Bayesian Inference (8 papers), Advanced Data Storage Technologies (7 papers) and Quantum Chromodynamics and Particle Interactions (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.1k citations), Statistical and Nonlinear Physics (329 citations), Artificial Intelligence (850 citations), Condensed Matter Physics (221 citations) and Astronomy and Astrophysics (272 citations). K. Cranmer has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Lenka Zdeborová, J. I. Cirac, Laurent Daudet, Leslie Vogt-Maranto, Maria Schuld, Naftali Tishby, Giuseppe Carleo, Gilles Louppe, D. Whiteson and Johann Brehmer. Their work appears in journals such as Physical review. D, Machine Learning Science and Technology, Journal of High Energy Physics, Computer Physics Communications and Physical Review Letters.

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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