Evan Racah

7 papers and 51 indexed citations
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About

Evan Racah is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Molecular Biology. According to data from OpenAlex, Evan Racah has authored 7 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Nuclear and High Energy Physics and 1 paper in Molecular Biology. Recurrent topics in Evan Racah’s work include Computational Physics and Python Applications (2 papers), Astrophysics and Cosmic Phenomena (2 papers) and Neutrino Physics Research (1 paper). Evan Racah is often cited by papers focused on Computational Physics and Python Applications (2 papers), Astrophysics and Cosmic Phenomena (2 papers) and Neutrino Physics Research (1 paper). Evan Racah collaborates with scholars based in United States, Canada and South Korea. Evan Racah's co-authors include Prabhat, Peter Sadowski, Wahid Bhimji, C. E. Tull, Pierre Baldi, Sang‐Yun Oh, Pradeep Dubey, Justin Fu, Brandyn White and Christopher Pal and has published in prestigious journals such as arXiv (Cornell University), OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and PolyPublie (École Polytechnique de Montréal).

In The Last Decade

Co-authorship network of co-authors of Evan Racah

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

Fields of papers citing papers by Evan Racah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Evan Racah

Since Specialization
Citations

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