D. Michael Ackermann
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- Cardiac Valve Diseases and Treatments 3
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- Neuroscience and Neural Engineering 19
- Neurology top 5%
- Neurological disorders and treatments 3
- Anesthesiology and Pain Medicine top 10%
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- Muscle activation and electromyography studies 11
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- Pain Mechanisms and Treatments 7
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- Conducting polymers and applications 6
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- Cardiac Structural Anomalies and Repair 3
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- EEG and Brain-Computer Interfaces 3
- Co-authors
- William D. EdwardsKevin L. KilgoreEmily L. FoldesNiloy BhadraThomas A. OrszulakLyle J. OlsonRamiah SubramanianKenneth P. Batts
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
D. Michael Ackermann
42 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Cardiology and Cardiovascular Medicine 691
- Cellular and Molecular Neuroscience 444
- Neurology 140
- Cancer Research 137
- Anesthesiology and Pain Medicine 50
Countries citing papers authored by D. Michael Ackermann
This map shows the geographic impact of D. Michael Ackermann'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 D. Michael Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Michael Ackermann more than expected).
Fields of papers citing papers by D. Michael Ackermann
This network shows the impact of papers produced by D. Michael Ackermann. 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 D. Michael Ackermann. The network helps show where D. Michael Ackermann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Michael Ackermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 31 | |
| 2 | 2019 | 4 | |
| 3 | 2012 | 25 | |
| 4 | 2011 | 47 | |
| 5 | 2011 | 33 | |
| 6 | 2010 | 50 | |
| 7 | 2010 | 24 | |
| 8 | 2010 | 50 | |
| 9 | 2010 | 41 | |
| 10 | 2010 | 39 | |
| 11 | 2009 | 12 | |
| 12 | 2009 | 35 | |
| 13 | 2009 | 16 | |
| 14 | 2009 | 36 | |
| 15 | 2009 | 13 | |
| 16 | 2006 | 20 | |
| 17 | 2003 | 17 | |
| 18 | 1994 | 115 | |
| 19 | 1990 | 112 | |
| 20 | 1988 | 71 |
About D. Michael Ackermann
D. Michael Ackermann is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics, Cardiology and Cardiovascular Medicine, Physiology and Biomedical Engineering, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (19 papers), Muscle activation and electromyography studies (11 papers), Pain Mechanisms and Treatments (7 papers), Conducting polymers and applications (6 papers), Cardiac Structural Anomalies and Repair (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Neurological disorders and treatments (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (691 citations), Cellular and Molecular Neuroscience (444 citations), Neurology (140 citations), Cancer Research (137 citations) and Anesthesiology and Pain Medicine (50 citations). D. Michael Ackermann has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include William D. Edwards, Kevin L. Kilgore, Emily L. Foldes, Niloy Bhadra, Thomas A. Orszulak, Lyle J. Olson, Ramiah Subramanian, Kenneth P. Batts, James R. Pluth and Cary S. Passik. Their work appears in journals such as Mayo Clinic Proceedings, Human Pathology, Muscle & Nerve, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.
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.