Jack D. Hidary

54 total papers · 874 total citations
9 papers, 242 citations indexed

About

Jack D. Hidary is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jack D. Hidary has authored 9 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Astronomy and Astrophysics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jack D. Hidary's work include Quantum Computing Algorithms and Architecture (2 papers), Astrophysical Phenomena and Observations (2 papers) and Galaxies: Formation, Evolution, Phenomena (1 paper). Jack D. Hidary is often cited by papers focused on Quantum Computing Algorithms and Architecture (2 papers), Astrophysical Phenomena and Observations (2 papers) and Galaxies: Formation, Evolution, Phenomena (1 paper). Jack D. Hidary collaborates with scholars based in United States, United Kingdom and Bahrain. Jack D. Hidary's co-authors include Olivier Lacombe, Stefan Leichenauer, Rafael Misoczki, Christopher Emdin, Sujoy Bhattacharyya, Manaf AlQahtani, Wafaa El‐Sadr, Siddhartha Mukherjee, Jessica Justman and Robert T. McGibbon and has published in prestigious journals such as Nature, The Astrophysical Journal and Scientific Reports.

In The Last Decade

Jack D. Hidary

8 papers receiving 226 citations

Author Peers

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

Author						Papers	Cites
Jack D. Hidary	170	50	49	36	29	9	242
Jennifer Paykin	209 1.2×	40 0.8×	32 0.7×	60 1.7×	37 1.3×	11	250
Yu Du	239 1.4×	37 0.7×	28 0.6×	85 2.4×	12 0.4×	14	313
Zhen Liu	134 0.8×	21 0.4×	76 1.6×	27 0.8×	19 0.7×	19	220
A. Sutherland	135 0.8×	18 0.4×	33 0.7×	17 0.5×	42 1.4×	11	242
Kamer Vishi	157 0.9×	32 0.6×	79 1.6×	29 0.8×	58 2.0×	12	250
Thomas B. Pedersen	274 1.6×	102 2.0×	52 1.1×	26 0.7×	50 1.7×	20	327
Alex Davies	113 0.7×	18 0.4×	10 0.2×	42 1.2×	18 0.6×	7	266
Noson S. Yanofsky	168 1.0×	76 1.5×	12 0.2×	70 1.9×	9 0.3×	8	231
Donny Cheung	123 0.7×	49 1.0×	23 0.5×	40 1.1×	14 0.5×	11	245
Yuan Wang	143 0.8×	29 0.6×	19 0.4×	20 0.6×	10 0.3×	24	194

Countries citing papers authored by Jack D. Hidary

Since Specialization

Citations

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

Fields of papers citing papers by Jack D. Hidary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack D. Hidary

This figure shows the co-authorship network connecting the top 25 collaborators of Jack D. Hidary. A scholar is included among the top collaborators of Jack D. Hidary 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 Jack D. Hidary. Jack D. Hidary 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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