Michael C. Burkhart

50 total papers · 463 total citations
14 papers, 81 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 81 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 Yeonsook Heo, Ví­ctor M. Zavala, Brian Franco, Jessica N. Kelemen, David M. Brandman, Matthew Tom Harrison, Leigh R. Hochberg, Eddie Chong, Timothy Rittman and Joseph Giorgio 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

10 papers receiving 78 citations

Author Peers

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

Author Last Decade Papers Cites
Michael C. Burkhart 34 26 18 16 12 14 81
Supriya Goel 29 0.9× 16 0.6× 15 0.8× 5 0.3× 12 1.0× 15 76
Huiling Cai 78 2.3× 92 3.5× 21 1.2× 25 1.6× 18 1.5× 11 278
Xinyue Yao 94 2.8× 18 0.7× 20 1.1× 25 1.6× 3 0.3× 22 274
Scott Horowitz 68 2.0× 17 0.7× 16 0.9× 3 0.2× 4 0.3× 15 97
S. Bartocci 8 0.2× 23 0.9× 40 2.2× 10 0.6× 3 0.3× 8 64
Eric E. Richman 67 2.0× 40 1.5× 25 1.4× 4 0.3× 10 90
H. Yokoyama 16 0.5× 40 1.5× 47 2.6× 50 3.1× 5 0.4× 12 221
Ye Zhao 4 0.1× 7 0.3× 4 0.2× 14 0.9× 5 0.4× 20 151
X. Xie 21 0.6× 11 0.4× 10 0.6× 3 0.2× 3 0.3× 18 70
Janine Freeman 6 0.2× 38 1.5× 50 2.8× 37 2.3× 10 83

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026