Michael C. Burkhart

473 total citations
14 papers, 87 citations indexed

About

Michael C. Burkhart is a scholar working on Artificial Intelligence, Psychiatry and Mental health and Health Informatics. According to data from OpenAlex, Michael C. Burkhart has authored 14 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Psychiatry and Mental health and 2 papers in Health Informatics. Recurrent topics in Michael C. Burkhart's work include Machine Learning in Healthcare (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Michael C. Burkhart is often cited by papers focused on Machine Learning in Healthcare (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Michael C. Burkhart collaborates with scholars based in United Kingdom, United States and Singapore. Michael C. Burkhart's co-authors include Víctor M. Zavala, Yeonsook Heo, David M. Brandman, Leigh R. Hochberg, Jessica N. Kelemen, Matthew Tom Harrison, Brian Franco, Zhuoyu Li, Peter Tiňo and Benjamin R. Underwood and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Energy and Buildings.

In The Last Decade

Michael C. Burkhart

11 papers receiving 84 citations

Peers

Michael C. Burkhart

EEE

RESE

Supriya Goel United States

Scott Horowitz United States

S. Bartocci Italy

Eric E. Richman United States

Ye Zhao China

Janine Freeman United States

Jiateng Liu China

Shilpa Verma India

Gines Martinez Garcia Spain

Yasir Hashim Iraq

Supriya Goel United States

Michael C. Burkhart

29 ×0.9

16 ×0.6

EEE

15 ×0.8

RESE

5 ×0.3

12 ×1.0

Citations per year, relative to Michael C. Burkhart Michael C. Burkhart (= 1×) peers Supriya Goel

Countries citing papers authored by Michael C. Burkhart

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Burkhart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Burkhart. 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 Michael C. Burkhart. The network helps show where Michael C. Burkhart may publish in the future.

Co-authorship network of co-authors of Michael C. Burkhart

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Burkhart. A scholar is included among the top collaborators of Michael C. Burkhart 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 Michael C. Burkhart. Michael C. Burkhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Burkhart, Michael C., et al.. (2025). Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical Outcomes. JAMA Network Open. 8(12). e2550454–e2550454.

Burkhart, Michael C., et al.. (2025). Synthetic data distillation enables the extraction of clinical information at scale. npj Digital Medicine. 8(1). 267–267. 1 indexed citations

Li, Rui, Eric L. Harshfield, Steven Bell, et al.. (2024). Predicting Incident Dementia in Cerebral Small Vessel Disease: Comparison of Machine Learning and Traditional Statistical Models. SHILAP Revista de lepidopterología. 6. 100235–100235.

Burkhart, Michael C., et al.. (2024). Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction. Scientific Reports. 14(1). 10755–10755. 1 indexed citations

Burkhart, Michael C., Peter Tiňo, Marcella Montagnese, et al.. (2024). Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settings. EClinicalMedicine. 74. 102725–102725. 11 indexed citations

Burkhart, Michael C., Marcella Montagnese, Joseph Giorgio, et al.. (2023). Validating the clinical utility of AI‐guided tools for early dementia prediction. Alzheimer s & Dementia. 19(S17). 1 indexed citations

Harshfield, Eric L., Steven Bell, Michael C. Burkhart, et al.. (2023). Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models. SHILAP Revista de lepidopterología. 5. 100179–100179. 6 indexed citations

Burkhart, Michael C., et al.. (2023). AI‐guided patient stratification for neurodegenerative disorders using unsupervised trajectory modelling. Alzheimer s & Dementia. 19(S16). 1 indexed citations

Burkhart, Michael C., et al.. (2023). Neuroevolutionary representations for learning heterogeneous treatment effects. Journal of Computational Science. 71. 102054–102054. 3 indexed citations

10.

Burkhart, Michael C.. (2022). Conjugacy conditions for supersoluble complements of an abelian base and a fixed point result for non-coprime actions. Proceedings of the Edinburgh Mathematical Society. 65(4). 1075–1079.

11.

Brandman, David M., Michael C. Burkhart, Jessica N. Kelemen, et al.. (2018). Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression. Neural Computation. 30(11). 2986–3008. 12 indexed citations

12.

Burkhart, Michael C., Yeonsook Heo, & Víctor M. Zavala. (2014). Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach. Energy and Buildings. 75. 189–198. 47 indexed citations

13.

Burkhart, Michael C., et al.. (2014). Manoeuvring of Long Trucks by Remote Control. ATZ worldwide. 116(9). 4–9. 3 indexed citations

14.

Ramsay, John G., et al.. (2002). Pre-conference field trip. 1 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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