Michaela Hardt

4 papers and 464 indexed citations i.

About

Michaela Hardt is a scholar working on Artificial Intelligence, Health Information Management and Sociology and Political Science. According to data from OpenAlex, Michaela Hardt has authored 4 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Health Information Management and 1 paper in Sociology and Political Science. Recurrent topics in Michaela Hardt’s work include Machine Learning in Healthcare (2 papers), Ethics in Clinical Research (1 paper) and Artificial Intelligence in Healthcare (1 paper). Michaela Hardt is often cited by papers focused on Machine Learning in Healthcare (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, Greg S. Corrado, Michael Howell, Marshall H. Chin, İstemi Ekin Akkuş, Ruichuan Chen, Johannes Gehrke, Paul Francis, Jay B. Dean and Andrew M. Dai and has published in prestigious journals such as Annals of Internal Medicine, npj Digital Medicine and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Michaela Hardt i

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.

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).

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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2025