J. Howard

4.5k total citations
8 papers, 85 citations indexed

About

J. Howard is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, J. Howard has authored 8 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 4 papers in Artificial Intelligence and 2 papers in Astronomy and Astrophysics. Recurrent topics in J. Howard's work include Particle physics theoretical and experimental studies (6 papers), Dark Matter and Cosmic Phenomena (3 papers) and Neural Networks and Applications (2 papers). J. Howard is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Dark Matter and Cosmic Phenomena (3 papers) and Neural Networks and Applications (2 papers). J. Howard collaborates with scholars based in United States, Canada and United Kingdom. J. Howard's co-authors include D. Whiteson, Tim M. P. Tait, Seyda Ipek, Yibo Yang, Stephan Mandt, Djuna Croon, Pierre Baldi, Tony W. Tong, Gregor Kasieczka and Tilman Plehn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of High Energy Physics.

In The Last Decade

J. Howard

7 papers receiving 85 citations

Peers

J. Howard
Sung Hak Lim United States
M. Pettee United States
M. Kado Italy
T. R. Fernandez Perez Tomei Brazil
A. Søgaard Canada
Humberto Reyes-González Germany
Seng Pei Liew Japan
D. P. Yallup United Kingdom
E. Gross Israel
L. Rustige Germany
Sung Hak Lim United States
J. Howard
Citations per year, relative to J. Howard J. Howard (= 1×) peers Sung Hak Lim

Countries citing papers authored by J. Howard

Since Specialization
Citations

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

Fields of papers citing papers by J. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Howard

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

All Works

8 of 8 papers shown
1.
Howard, J., et al.. (2025). Wilsonian renormalization of neural network Gaussian processes*. Machine Learning Science and Technology. 6(2). 25038–25038.
2.
Howard, J., et al.. (2025). Bayesian RG flow in neural network field theories. SciPost Physics Core. 8(1). 1 indexed citations
3.
Howard, J., Stephan Mandt, D. Whiteson, & Yibo Yang. (2022). Learning to simulate high energy particle collisions from unlabeled data. Scientific Reports. 12(1). 7567–7567. 27 indexed citations
4.
Baldi, Pierre, Anja Butter, J. Howard, et al.. (2022). How to GAN Higher Jet Resolution. SciPost Physics. 13(3). 15 indexed citations
5.
Howard, J., Seyda Ipek, Tim M. P. Tait, & Jessica Turner. (2022). Dark matter freeze-out during SU(2)L confinement. Journal of High Energy Physics. 2022(2). 2 indexed citations
6.
Howard, J., et al.. (2021). Learning to identify electrons. Physical review. D. 103(11). 11 indexed citations
7.
Croon, Djuna, J. Howard, Seyda Ipek, & Tim M. P. Tait. (2020). QCD baryogenesis. Physical review. D. 101(5). 25 indexed citations
8.
Rajaraman, Arvind, et al.. (2019). The \(\tau\) Magnetic Dipole Moment at Future Lepton Colliders. SHILAP Revista de lepidopterología. 4 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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2026