Michael J. Burke
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Demography top 5%
- Molecular Biology
- Co-authors
- Lisa M. FinkelsteinRamya ParameswaranBozhi TianJohn F. ZimmermanKelliann KoehlerJaeseok YiYuanwen JiangErin J. Adams
- Topics
- Neuroscience and Neural Engineering (4 papers)Photoreceptor and optogenetics research (2 papers)Advanced Memory and Neural Computing (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNature NanotechnologyJournal of Applied Psychology
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Michael J. Burke
17 papers receiving 689 citations
Peers
Comparison fields: 5 of 125
- Cellular and Molecular Neuroscience 251
- Biomedical Engineering 219
- Electrical and Electronic Engineering 77
- Demography 76
- Molecular Biology 69
Countries citing papers authored by Michael J. Burke
This map shows the geographic impact of Michael J. Burke'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 J. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Burke more than expected).
Fields of papers citing papers by Michael J. Burke
This network shows the impact of papers produced by Michael J. Burke. 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 J. Burke. The network helps show where Michael J. Burke may publish in the future.
Co-authorship network of co-authors of Michael J. Burke
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Burke. A scholar is included among the top collaborators of Michael J. Burke 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 J. Burke. Michael J. Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 6 | |
| 3 | 195 | |
| 4 | 9 | |
| 5 | 83 | |
| 6 | 81 | |
| 7 | 23 | |
| 8 | 90 | |
| 9 | 77 | |
| 10 | 9 | |
| 11 | 24 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 54 | |
| 15 | 1 | |
| 16 | 31 | |
| 17 | 1 |
About Michael J. Burke
Michael J. Burke is a scholar working on General Decision Sciences, Cellular and Molecular Neuroscience and Applied Psychology, having authored 17 papers that have together received 718 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Photoreceptor and optogenetics research (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (27 citations), Cellular and Molecular Neuroscience (251 citations) and Demography (76 citations). Michael J. Burke has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lisa M. Finkelstein, Ramya Parameswaran, Bozhi Tian, John F. Zimmerman, Kelliann Koehler, Jaeseok Yi, Yuanwen Jiang, Erin J. Adams, William P. Dunlap and Francisco Bezanilla. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Nanotechnology and Journal of Applied Psychology.
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.