Michaela Hardt

12 total papers · 1.3k total citations
5 papers, 636 citations indexed

About

Michaela Hardt is a scholar working on Artificial Intelligence, General Health Professions and Health Information Management. According to data from OpenAlex, Michaela Hardt has authored 5 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in General Health Professions and 1 paper in Health Information Management. Recurrent topics in Michaela Hardt's work include Privacy-Preserving Technologies in Data (2 papers), Artificial Intelligence in Healthcare (1 paper) and Healthcare cost, quality, practices (1 paper). Michaela Hardt is often cited by papers focused on Privacy-Preserving Technologies in Data (2 papers), Artificial Intelligence in Healthcare (1 paper) and Healthcare cost, quality, practices (1 paper). Michaela Hardt collaborates with scholars based in United States and Germany. Michaela Hardt's co-authors include Alvin Rajkomar, Michael Howell, Greg S. Corrado, Marshall H. Chin, Suman Nath, Ruichuan Chen, Johannes Gehrke, Paul Francis, İstemi Ekin Akkuş and Andrew M. Dai and has published in prestigious journals such as Annals of Internal Medicine, npj Digital Medicine and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Michaela Hardt

4 papers receiving 611 citations

Hit Papers

Ensuring Fairness in Mach... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Michaela Hardt 263 252 102 100 93 5 636
Heather Mattie 324 1.2× 222 0.9× 73 0.7× 139 1.4× 91 1.0× 25 728
Seong No Yoon 213 0.8× 166 0.7× 47 0.5× 116 1.2× 55 0.6× 16 726
Sonoo Thadaney-Israni 297 1.1× 226 0.9× 58 0.6× 126 1.3× 112 1.2× 6 626
Stefan Germann 205 0.8× 91 0.4× 124 1.2× 111 1.1× 74 0.8× 18 596
Caio C. Vieira Machado 308 1.2× 144 0.6× 46 0.5× 93 0.9× 120 1.3× 8 574
Raffaele Rasoini 246 0.9× 221 0.9× 53 0.5× 161 1.6× 90 1.0× 8 710
Lama Moukheiber 276 1.0× 137 0.5× 58 0.6× 121 1.2× 97 1.0× 12 560
Fred Hersch 129 0.5× 142 0.6× 108 1.1× 156 1.6× 80 0.9× 16 554
Sonoo Thadaney Israni 250 1.0× 107 0.4× 226 2.2× 121 1.2× 189 2.0× 16 725
Mohammed Saeed 250 1.0× 196 0.8× 35 0.3× 104 1.0× 115 1.2× 4 564

Countries citing papers authored by Michaela Hardt

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Hardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Hardt

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