P. Harris

1.0k total citations
2 papers, 57 citations indexed

About

P. Harris is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, P. Harris has authored 2 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in P. Harris's work include Particle physics theoretical and experimental studies (2 papers), Neutrino Physics Research (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). P. Harris is often cited by papers focused on Particle physics theoretical and experimental studies (2 papers), Neutrino Physics Research (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). P. Harris collaborates with scholars based in United States, Switzerland and United Kingdom. P. Harris's co-authors include M. Pierini, N. V. Tran, Giuseppe Di Guglielmo, J. Duarte, Vladimir Lončar, J. Ngadiuba, Z. Wu, Duc Hoang, Dylan Rankin and J. Krupa and has published in prestigious journals such as Physical review. D and Journal of Instrumentation.

In The Last Decade

P. Harris

2 papers receiving 57 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Harris United States 2 24 23 11 9 9 2 57
N. V. Tran United States 2 22 0.9× 23 1.0× 10 0.9× 9 1.0× 8 0.9× 4 55
G. B. Cerati United States 5 25 1.0× 31 1.3× 10 0.9× 11 1.2× 5 0.6× 17 69
G. Dezoort United States 3 19 0.8× 21 0.9× 9 0.8× 6 0.7× 4 0.4× 5 46
M. S. Neubauer United States 6 19 0.8× 35 1.5× 10 0.9× 29 3.2× 10 1.1× 22 82
A. Wurz Germany 5 22 0.9× 25 1.1× 4 0.4× 9 1.0× 7 0.8× 14 59
P. Musella Switzerland 3 17 0.7× 53 2.3× 7 0.6× 7 0.8× 3 0.3× 8 63
Alexander Spiridonov Russia 4 6 0.3× 37 1.6× 7 0.6× 6 0.7× 3 0.3× 10 61
A. Annovi Italy 6 15 0.6× 36 1.6× 8 0.7× 32 3.6× 30 3.3× 25 89
M. Hushchyn Russia 5 12 0.5× 14 0.6× 5 0.5× 5 0.6× 15 50
P. Albicocco Italy 6 16 0.7× 40 1.7× 3 0.3× 3 0.3× 16 1.8× 15 103

Countries citing papers authored by P. Harris

Since Specialization
Citations

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

Fields of papers citing papers by P. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Harris

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

All Works

2 of 2 papers shown
1.
Harris, P., et al.. (2025). Resimulation-based self-supervised learning for pretraining physics foundation models. Physical review. D. 111(3). 7 indexed citations
2.
Guglielmo, Giuseppe Di, J. Duarte, P. Harris, et al.. (2020). Fast inference of Boosted Decision Trees in FPGAs for particle physics. Journal of Instrumentation. 15(5). P05026–P05026. 50 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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