Jack D. Hidary

891 total citations
9 papers, 251 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 251 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 Astrophysical Phenomena and Observations (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Jack D. Hidary is often cited by papers focused on Astrophysical Phenomena and Observations (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and SARS-CoV-2 and COVID-19 Research (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, Wafaa El‐Sadr, Jessica Justman, Siddhartha Mukherjee, Manaf AlQahtani and N. Cappelluti 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 234 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jack D. Hidary United States	5	173	51	50	37	30	9	251
Zhimin He China	9	225 1.3×	35 0.7×	64 1.3×	40 1.1×	19 0.6×	37	294
Koji Nuida Japan	8	169 1.0×	28 0.5×	37 0.7×	45 1.2×	58 1.9×	43	251
Abhishek Parakh United States	9	258 1.5×	92 1.8×	63 1.3×	24 0.6×	63 2.1×	58	344
Jörn Müller‐Quade Germany	10	163 0.9×	43 0.8×	44 0.9×	55 1.5×	22 0.7×	47	262
Thomas B. Pedersen Türkiye	9	282 1.6×	52 1.0×	106 2.1×	26 0.7×	54 1.8×	20	336
Sudip Sanyal India	7	112 0.6×	21 0.4×	44 0.9×	13 0.4×	24 0.8×	26	235
William J. Zeng United States	9	216 1.2×	106 2.1×	70 1.4×	40 1.1×	29 1.0×	22	359
Houzhen Wang China	10	264 1.5×	75 1.5×	94 1.9×	40 1.1×	54 1.8×	29	351
Shaoquan Jiang China	9	126 0.7×	55 1.1×	20 0.4×	24 0.6×	37 1.2×	35	207

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

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Natarajan, Priyamvada, Robert T. McGibbon, Sadegh Khochfar, et al.. (2023). QUOTAS: A New Research Platform for the Data-driven Discovery of Black Holes. The Astrophysical Journal. 952(2). 146–146. 2 indexed citations

2.

Natarajan, Priyamvada, Sadegh Khochfar, B. Nord, et al.. (2023). Introducing QUOTAS as a new research platform for the data-driven discovery of supermassive black holes. Nature Astronomy. 7(8). 879–881. 1 indexed citations

3.

Misoczki, Rafael, et al.. (2022). Transitioning organizations to post-quantum cryptography. Nature. 605(7909). 237–243. 105 indexed citations

4.

AlQahtani, Manaf, Sujoy Bhattacharyya, Jessica Justman, et al.. (2022). Post-vaccination outcomes in association with four COVID-19 vaccines in the Kingdom of Bahrain. Scientific Reports. 12(1). 9236–9236. 6 indexed citations

5.

Hidary, Jack D.. (2021). Quantum Computing: An Applied Approach. 37 indexed citations

6.

Liao, Qianli, et al.. (2019). Theory III: Dynamics and Generalization in Deep Networks -- a simple solution. arXiv (Cornell University). 2 indexed citations

7.

Hidary, Jack D.. (2019). Quantum Computing: An Applied Approach. 83 indexed citations

8.

Liao, Qianli, Brando Miranda, Lorenzo Rosasco, et al.. (2019). Generalization Puzzles in Deep Networks. 1 indexed citations

9.

Hidary, Jack D., et al.. (2011). Tailoring Science Outreach through E-Matching Using a Community-Based Participatory Approach. PLoS Biology. 9(3). e1001026–e1001026. 14 indexed citations

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.

Explore authors with similar magnitude of impact