Evan Racah

28 total papers · 871 total citations
9 papers, 149 citations indexed

About

Evan Racah is a scholar working on Artificial Intelligence, Molecular Biology and Nuclear and High Energy Physics. According to data from OpenAlex, Evan Racah has authored 9 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Nuclear and High Energy Physics. Recurrent topics in Evan Racah's work include Computational Physics and Python Applications (4 papers), Astrophysics and Cosmic Phenomena (2 papers) and Algorithms and Data Compression (2 papers). Evan Racah is often cited by papers focused on Computational Physics and Python Applications (4 papers), Astrophysics and Cosmic Phenomena (2 papers) and Algorithms and Data Compression (2 papers). Evan Racah collaborates with scholars based in United States, United Kingdom and South Korea. Evan Racah's co-authors include Prabhat, Wahid Bhimji, Pradeep Dubey, Md. Mostofa Ali Patwary, Narayanan Sundaram, Peter Sadowski, C. E. Tull, Tareq B. Malas, Thorsten Kurth and Ioannis Mitliagkas and has published in prestigious journals such as arXiv (Cornell University), eScholarship (California Digital Library) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Evan Racah

9 papers receiving 142 citations

Author Peers

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

Author						Papers	Cites
Evan Racah	56	53	39	23	16	9	149
V.K. Agrawal	170 3.0×	35 0.7×	9 0.2×	2 0.1×	13 0.8×	13	256
S. Inkinen	53 0.9×	68 1.3×	11 0.3×	2 0.1×	5 0.3×	8	200
S. Summers	60 1.1×	37 0.7×	13 0.3×	2 0.1×	50 3.1×	15	158
L. Molnár	46 0.8×	37 0.7×	14 0.4×	45 2.0×	26 1.6×	15	188
Ryad Benadjila	149 2.7×	63 1.2×	22 0.6×	4 0.2×	2 0.1×	6	178
Trinh Le	23 0.4×	16 0.3×	13 0.3×	7 0.3×	20 1.3×	7	93
Thomas Kipf	120 2.1×	87 1.6×	22 0.6×	15 0.7×		10	184
Justin Whitehouse	88 1.6×	21 0.4×	8 0.2×	6 0.3×		8	158
Sehoon Kim	77 1.4×	54 1.0×	26 0.7×	2 0.1×	2 0.1×	7	161
R.D. Turner	143 2.6×	14 0.3×	13 0.3×	8 0.3×	4 0.3×	9	230

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).

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.

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.

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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