Jack Y. Araz

25 papers and 266 indexed citations i.

About

Jack Y. Araz is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jack Y. Araz has authored 25 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nuclear and High Energy Physics, 8 papers in Artificial Intelligence and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jack Y. Araz’s work include Particle physics theoretical and experimental studies (19 papers), Particle Detector Development and Performance (7 papers) and High-Energy Particle Collisions Research (7 papers). Jack Y. Araz is often cited by papers focused on Particle physics theoretical and experimental studies (19 papers), Particle Detector Development and Performance (7 papers) and High-Energy Particle Collisions Research (7 papers). Jack Y. Araz collaborates with scholars based in United Kingdom, France and Canada. Jack Y. Araz's co-authors include Benjamin Fuks, Michael Spannowsky, Mariana Frank, Shankha Banerjee, Michael Spannowsky, Gennaro Corcella, Mark D. Goodsell, S. Schenk, Andreas Goudelis and A. G. Buckley and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Co-authorship network of co-authors of Jack Y. Araz i

Fields of papers citing papers by Jack Y. Araz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Y. Araz. 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 Jack Y. Araz. The network helps show where Jack Y. Araz may publish in the future.

Countries citing papers authored by Jack Y. Araz

Since Specialization
Citations

This map shows the geographic impact of Jack Y. Araz'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 Jack Y. Araz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Y. Araz 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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2025