M. Williams

323 total papers · 5.7k total citations
24 papers, 711 citations indexed

About

M. Williams is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M. Williams has authored 24 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nuclear and High Energy Physics, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M. Williams's work include Particle physics theoretical and experimental studies (16 papers), High-Energy Particle Collisions Research (7 papers) and Dark Matter and Cosmic Phenomena (7 papers). M. Williams is often cited by papers focused on Particle physics theoretical and experimental studies (16 papers), High-Energy Particle Collisions Research (7 papers) and Dark Matter and Cosmic Phenomena (7 papers). M. Williams collaborates with scholars based in United States, Switzerland and United Kingdom. M. Williams's co-authors include Yotam Soreq, P. Ilten, Jesse Thaler, Daniel Aloni, Wei Xue, Alexander Radovic, M. Kagan, A. Aurisano, K. Terao and A. Himmel and has published in prestigious journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

M. Williams

21 papers receiving 687 citations

Hit Papers

Machine learning at the e... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning at the energy and intensity frontiers of particle physics
    2018 251 citations Alexander Radovic, M. Williams et al. Nature profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Williams 557 125 84 67 44 24 711
Cristina Rea 446 0.8× 111 0.9× 138 1.6× 28 0.4× 35 0.8× 39 622
D. B. Scarl 358 0.6× 53 0.4× 95 1.1× 226 3.4× 63 1.4× 32 653
M. Johnson 569 1.0× 201 1.6× 102 1.2× 33 0.5× 47 1.1× 18 703
P.C. de Vries 673 1.2× 250 2.0× 98 1.2× 32 0.5× 46 1.0× 22 792
Wiesław A. Kamiński 482 0.9× 31 0.2× 56 0.7× 61 0.9× 56 1.3× 59 665
M. Baruzzo 538 1.0× 209 1.7× 58 0.7× 27 0.4× 50 1.1× 49 621
D. Liu 560 1.0× 308 2.5× 40 0.5× 75 1.1× 69 1.6× 58 711
Daniel C. Hackett 490 0.9× 54 0.4× 108 1.3× 84 1.3× 7 0.2× 31 701
D. Notz 686 1.2× 255 2.0× 47 0.6× 235 3.5× 27 0.6× 17 765
Rob Verheyen 588 1.1× 62 0.5× 91 1.1× 17 0.3× 18 0.4× 20 647

Countries citing papers authored by M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Williams

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

All Works

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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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