Benjamin Harack

10 total papers · 714 total citations
4 papers, 476 citations indexed

About

Benjamin Harack is a scholar working on Artificial Intelligence, Health Informatics and Family Practice. According to data from OpenAlex, Benjamin Harack has authored 4 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Health Informatics and 1 paper in Family Practice. Recurrent topics in Benjamin Harack's work include Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Clinical Reasoning and Diagnostic Skills (1 paper). Benjamin Harack is often cited by papers focused on Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Clinical Reasoning and Diagnostic Skills (1 paper). Benjamin Harack collaborates with scholars based in Canada, United Kingdom and United States. Benjamin Harack's co-authors include Alexandre Horth, Daniel R. Cooper, Mathieu Massicotte, Eric Whiteway, Michael Hilke, Benjamin D’Anjou, Leron Vandsburger, Norberto Majlis, Victor Shia and Kornel Laskowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences.

In The Last Decade

Benjamin Harack

3 papers receiving 463 citations

Hit Papers

Experimental Review of Gr... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Benjamin Harack 377 157 145 92 62 4 476
Jae Hee Han 358 0.9× 138 0.9× 159 1.1× 41 0.4× 69 1.1× 4 406
Hyerim Moon 463 1.2× 178 1.1× 179 1.2× 69 0.8× 96 1.5× 4 543
Moon-Ho Ham 395 1.0× 166 1.1× 214 1.5× 44 0.5× 80 1.3× 8 462
Akshaya Kumar Swain 349 0.9× 216 1.4× 175 1.2× 64 0.7× 67 1.1× 11 531
Tonya Cherukuri 326 0.9× 199 1.3× 104 0.7× 73 0.8× 70 1.1× 5 460
Tarun Chari 483 1.3× 186 1.2× 229 1.6× 76 0.8× 56 0.9× 8 545
Allen Sussman 275 0.7× 209 1.3× 345 2.4× 58 0.6× 59 1.0× 8 514
Meizhuang Liu 406 1.1× 102 0.6× 271 1.9× 76 0.8× 64 1.0× 12 531
Hsiang Wei Chiu 368 1.0× 94 0.6× 117 0.8× 42 0.5× 66 1.1× 8 454
Camilo E. Calderón 260 0.7× 100 0.6× 102 0.7× 81 0.9× 80 1.3× 8 462

Countries citing papers authored by Benjamin Harack

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Harack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Harack

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Harack. A scholar is included among the top collaborators of Benjamin Harack 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 Benjamin Harack. Benjamin Harack 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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