Michael Mulhearn

About

Michael Mulhearn is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michael Mulhearn has authored 6 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 1 paper in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Michael Mulhearn’s work include Particle Detector Development and Performance (5 papers), Dark Matter and Cosmic Phenomena (4 papers) and Particle physics theoretical and experimental studies (3 papers). Michael Mulhearn is often cited by papers focused on Particle Detector Development and Performance (5 papers), Dark Matter and Cosmic Phenomena (4 papers) and Particle physics theoretical and experimental studies (3 papers). Michael Mulhearn collaborates with scholars based in United States and Russia. Michael Mulhearn's co-authors include Chase Owen Shimmin, D. Whiteson, Sean Tulin, Anthony DiFranzo, Linda M. Carpenter, K. Cranmer, Dustin Burns, A. Ustyuzhanin, Markus A. Luty and Christina Gao and has published in prestigious journals such as Computer Physics Communications, Physical review. D and IEEE Transactions on Nuclear Science.

In The Last Decade

Co-authorship network of co-authors of Michael Mulhearn i

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Fields of papers citing papers by Michael Mulhearn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Mulhearn

Since Specialization

Citations

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

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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