K. Cranmer

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

K. Cranmer

62 papers receiving 2.8k citations

Hit Papers

Machine learning and the physical sciences1.4k20182026202020234008001.2k

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-authorship network

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
#Work
1 202410
2 20242
3 202317
4 20234
5 202310
6 202181
7
Normalizing Flows on Tori and Spheres
20204
8
Set2Graph: Learning Graphs From Sets
20201
9
Discovering Symbolic Models from Deep Learning with Inductive Biases
20201
10
Machine learning and the physical sciencesbreakdown →
20191446
11
Deep Learning and Its Application to LHC Physicsbreakdown →
2018205
12 20184
13
Neural Message Passing for Jet Physics
201722
14
A Novel Approach to Higgs Coupling Measurements
20134
15 20131
16 201225
17
Combined SM Higgs search
20111
18
Using the Profile Likelihood in Searches for New Physics
20100
19
Searching for new physics: Contributions to LEP and the LHC
20054
20
Multivariate analysis and the search for new particles
20031

About K. Cranmer

K. Cranmer is a scholar working on Nuclear and High Energy Physics, Information Systems and Management, Artificial Intelligence, Computer Networks and Communications and Statistics and Probability, 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), Distributed and Parallel Computing Systems (10 papers), Computational Physics and Python Applications (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, Laurent Daudet, Naftali Tishby, J. I. Cirac, Leslie Vogt-Maranto, Maria Schuld, 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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