David C. Good
- Rehabilitation top 0.5%
- Stroke Rehabilitation and Recovery 25
- Neurology top 2%
- Botulinum Toxin and Related Neurological Disorders 12
- Transcranial Magnetic Stimulation Studies 9
- Neurology top 2%
- Botulinum Toxin and Related Neurological Disorders 12
- Transcranial Magnetic Stimulation Studies 9
- Cognitive Neuroscience top 2%
- Motor Control and Adaptation 9
- Functional Brain Connectivity Studies 6
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- Traumatic Brain Injury Research 7
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- Muscle activation and electromyography studies 6
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- Cerebral Palsy and Movement Disorders 5
- Co-authors
- David A. GelberRobert L. SainburgAndrzej PrzybylaJoseph HenkleSteve VerhulstJennifer WelshFrank G. HillaryS J Verhulst
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David C. Good
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 107
- Rehabilitation 815
- Neurology 746
- Neurology 374
- Cognitive Neuroscience 802
- Endocrine and Autonomic Systems 194
Countries citing papers authored by David C. Good
This map shows the geographic impact of David C. Good'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 David C. Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Good more than expected).
Fields of papers citing papers by David C. Good
This network shows the impact of papers produced by David C. Good. 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 David C. Good. The network helps show where David C. Good may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Good, 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 | 14 | |
| 2 | 2020 | 12 | |
| 3 | 2019 | 39 | |
| 4 | 2016 | 46 | |
| 5 | 2014 | 119 | |
| 6 | 2013 | 121 | |
| 7 | 2012 | 17 | |
| 8 | 2011 | 33 | |
| 9 | 2011 | 103 | |
| 10 | 2011 | 76 | |
| 11 | 2011 | 65 | |
| 12 | 2008 | 175 | |
| 13 | 2006 | 24 | |
| 14 | 2003 | 9 | |
| 15 | 1998 | 31 | |
| 16 | 1997 | 10 | |
| 17 | Handbook of neurorehabilitation | 1994 | 14 |
| 18 | 1994 | 14 | |
| 19 | Episodic Neurologic Symptoms | 1990 | 2 |
| 20 | Visualization of brain iron by mid-field MR. | 1988 | 4 |
About David C. Good
David C. Good is a scholar working on Rehabilitation, Neurology, Neurology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (25 papers), Botulinum Toxin and Related Neurological Disorders (12 papers), Motor Control and Adaptation (9 papers), Transcranial Magnetic Stimulation Studies (9 papers), Traumatic Brain Injury Research (7 papers), Muscle activation and electromyography studies (6 papers), Functional Brain Connectivity Studies (6 papers) and Cerebral Palsy and Movement Disorders (5 papers). The work is most often cited by research in Rehabilitation (815 citations), Neurology (746 citations), Neurology (374 citations), Cognitive Neuroscience (802 citations) and Endocrine and Autonomic Systems (194 citations). David C. Good has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David A. Gelber, Robert L. Sainburg, Andrzej Przybyla, Joseph Henkle, Steve Verhulst, Jennifer Welsh, Frank G. Hillary, S J Verhulst, John D. Medaglia and Douglas Jeffery. Their work appears in journals such as Neurorehabilitation and neural repair, Stroke, Neurology, PLoS ONE and NeuroImage.
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.