David C. Good

4.4k citations
61 papers · 2.6k · h-index 30

Impact in

    • Stroke Rehabilitation and Recovery
  • Neurology top 2%
    • Botulinum Toxin and Related Neurological Disorders
    • Transcranial Magnetic Stimulation Studies

Papers in

    • Stroke Rehabilitation and Recovery 20
    • Motor Control and Adaptation 8
    • Functional Brain Connectivity Studies 6
    • EEG and Brain-Computer Interfaces 4

David C. Good

60 papers receiving 2.5k citations

Peers

David C. Good
Comparison fields: 5 of 101
  • Rehabilitation 605
  • Neurology 572
  • Neurology 294
  • Cognitive Neuroscience 683
  • Endocrine and Autonomic Systems 124
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Citations per field
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Citations per year

Countries citing papers authored by David C. Good

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with David C. Good Line = papers co-authored together David C. Good links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996315
2 2008176
3 1993155
4 2004152
5 2013121
6 2014120
7 2011103
8 198198
9 201192
10 201176
11 201166
12 199563
13 198660
14 199357
15 198452
16 200151
17 199550
18 198649
19 201746
20 201646

About David C. Good

David C. Good is a scholar working on Rehabilitation, Cognitive Neuroscience, Neurology, Epidemiology and Neurology, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (20 papers), Botulinum Toxin and Related Neurological Disorders (10 papers), Motor Control and Adaptation (8 papers), Traumatic Brain Injury Research (7 papers), Transcranial Magnetic Stimulation Studies (7 papers), Functional Brain Connectivity Studies (6 papers), Muscle activation and electromyography studies (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Rehabilitation (605 citations), Neurology (572 citations), Neurology (294 citations), Cognitive Neuroscience (683 citations) and Endocrine and Autonomic Systems (124 citations). David C. Good has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David A. Gelber, Robert L. Sainburg, Andrzej Przybyla, Jennifer Welsh, Joseph Henkle, Steve Verhulst, 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 Experimental Brain Research.

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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