Michaela Hardt

1.3k total citations · 1 hit paper
5 papers, 659 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 659 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), Ethics in Clinical Research (1 paper) and Artificial Intelligence in Healthcare (1 paper). Michaela Hardt is often cited by papers focused on Privacy-Preserving Technologies in Data (2 papers), Ethics in Clinical Research (1 paper) and Artificial Intelligence in Healthcare (1 paper). Michaela Hardt collaborates with scholars based in United States and Germany. Michaela Hardt's co-authors include Alvin Rajkomar, Marshall H. Chin, Michael Howell, Greg S. Corrado, Suman Nath, İstemi Ekin Akkuş, Paul Francis, Ruichuan Chen, Johannes Gehrke 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 634 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ensuring Fairness in Machine Learning to Advance Health Equity

2018 551 citations Alvin Rajkomar, Michaela Hardt et al. Annals of Internal Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michaela Hardt United States	4	270	253	103	103	95	5	659
Heather Mattie United States	9	327 1.2×	223 0.9×	76 0.7×	142 1.4×	91 1.0×	25	746
Blake Murdoch Canada	11	254 0.9×	147 0.6×	98 1.0×	121 1.2×	266 2.8×	33	893
Stefan Germann United States	10	211 0.8×	91 0.4×	125 1.2×	113 1.1×	76 0.8×	18	607
Paola Daniore Switzerland	8	227 0.8×	146 0.6×	69 0.7×	141 1.4×	69 0.7×	20	570
Stephanie Teeple United States	5	228 0.8×	135 0.5×	62 0.6×	108 1.0×	81 0.9×	9	524
Sonoo Thadaney-Israni United States	5	304 1.1×	228 0.9×	59 0.6×	128 1.2×	113 1.2×	6	640
Fred Hersch Australia	10	132 0.5×	143 0.6×	108 1.0×	158 1.5×	81 0.9×	16	562
Sonia Allan Australia	9	265 1.0×	122 0.5×	52 0.5×	83 0.8×	125 1.3×	29	598
Lama Moukheiber United States	8	288 1.1×	139 0.5×	62 0.6×	125 1.2×	102 1.1×	12	599
Raffaele Rasoini Italy	5	249 0.9×	221 0.9×	52 0.5×	162 1.6×	89 0.9×	8	715

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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5 of 5 papers shown

1.

Hardt, Michaela, et al.. (2025). Toward Falsifying Causal Graphs Using a Permutation-Based Test. Proceedings of the AAAI Conference on Artificial Intelligence. 39(25). 26778–26786.

2.

Rajkomar, Alvin, Michaela Hardt, Michael Howell, Greg S. Corrado, & Marshall H. Chin. (2018). Ensuring Fairness in Machine Learning to Advance Health Equity. Annals of Internal Medicine. 169(12). 866–872. 551 indexed citations breakdown →

3.

Rajkomar, Alvin, Andrew M. Dai, Mimi Sun, et al.. (2018). Reply: metrics to assess machine learning models. npj Digital Medicine. 1(1). 57–57. 16 indexed citations

4.

Akkuş, İstemi Ekin, Ruichuan Chen, Michaela Hardt, Paul Francis, & Johannes Gehrke. (2012). Non-tracking web analytics. 687–698. 33 indexed citations

5.

Hardt, Michaela & Suman Nath. (2012). Privacy-aware personalization for mobile advertising. 662–673. 59 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.

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