Shai Har-El

102 total papers · 2.3k total citations
18 papers, 1.4k citations indexed

About

Shai Har-El is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shai Har-El has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Nephrology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shai Har-El's work include Face recognition and analysis (4 papers), Private Equity and Venture Capital (3 papers) and Acute Kidney Injury Research (3 papers). Shai Har-El is often cited by papers focused on Face recognition and analysis (4 papers), Private Equity and Venture Capital (3 papers) and Acute Kidney Injury Research (3 papers). Shai Har-El collaborates with scholars based in Canada, Israel and United States. Shai Har-El's co-authors include Tal Hassner, Ziv Harel, Ron Wald, Prakesh S. Shah, Chaim M. Bell, Jeffrey Perl, Samuel A. Silver, Glenn M. Chertow, Jongmoo Choi and Iacopo Masi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Research Policy and The American Journal of Medicine.

In The Last Decade

Shai Har-El

17 papers receiving 1.3k citations

Hit Papers

Effective face frontaliza... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Shai Har-El 555 280 275 248 221 18 1.4k
Timothy R. Spencer 344 0.6× 348 1.2× 61 0.2× 41 0.2× 100 0.5× 57 1.7k
Christopher R. Palmer 102 0.2× 74 0.3× 17 0.1× 130 0.5× 143 0.6× 28 1.6k
Jesús Hernández Hernández 721 1.3× 575 2.1× 28 0.1× 83 0.3× 83 0.4× 67 1.7k
Jana Hoffman 33 0.1× 201 0.7× 57 0.2× 39 0.2× 121 0.5× 41 1.7k
Benjamin Shickel 61 0.1× 79 0.3× 40 0.1× 62 0.3× 161 0.7× 54 1.5k
Sunil Gupta 109 0.2× 64 0.2× 17 0.1× 42 0.2× 115 0.5× 43 1.3k
G.Charles Oliver 77 0.1× 143 0.5× 16 0.1× 136 0.5× 1.0k 4.7× 35 1.4k
Carmelo Velardo 300 0.5× 248 0.9× 9 0.0× 114 0.5× 166 0.8× 46 1.4k
George C. Linderman 54 0.1× 105 0.4× 28 0.1× 20 0.1× 502 2.3× 22 1.7k
Poonam Batra 43 0.1× 581 2.1× 27 0.1× 9 0.0× 209 0.9× 61 1.3k

Countries citing papers authored by Shai Har-El

Since Specialization
Citations

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

Fields of papers citing papers by Shai Har-El

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shai Har-El. 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 Shai Har-El. The network helps show where Shai Har-El may publish in the future.

Co-authorship network of co-authors of Shai Har-El

This figure shows the co-authorship network connecting the top 25 collaborators of Shai Har-El. A scholar is included among the top collaborators of Shai Har-El 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 Shai Har-El. Shai Har-El 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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