William D. Memberg

2.2k citations
33 papers · 1.4k indexed · 1 hit paper · h-index 19
Topics
Muscle activation and electromyography studies (28 papers)EEG and Brain-Computer Interfaces (21 papers)Neuroscience and Neural Engineering (20 papers)

In The Last Decade

William D. Memberg

33 papers receiving 1.4k citations

Hit Papers

Restoration of reaching and grasping movements through br...20172026202020232017100200300400500

Peers

William D. Memberg
Comparison fields: 5 of 80
  • Cognitive Neuroscience 944
  • Cellular and Molecular Neuroscience 803
  • Biomedical Engineering 776
  • Pathology and Forensic Medicine 215
  • Rehabilitation 195
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William D. Memberg relative to David Guiraud France David Guiraud's profile →
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Countries citing papers authored by William D. Memberg

Since Specialization
Citations

This map shows the geographic impact of William D. Memberg'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 William D. Memberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Memberg more than expected).

Fields of papers citing papers by William D. Memberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Memberg. 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 William D. Memberg. The network helps show where William D. Memberg may publish in the future.

Co-authorship network of co-authors of William D. Memberg

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Memberg. A scholar is included among the top collaborators of William D. Memberg 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 William D. Memberg. William D. Memberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 12
3 19
4 30
5 63
6 17
7 19
8 11
9 27
10
Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstrationbreakdown →
563
11 20
12 36
13 7
14 18
15 95
16 14
17 28
18 15
19 13
20 26

About William D. Memberg

William D. Memberg is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (28 papers), EEG and Brain-Computer Interfaces (21 papers) and Neuroscience and Neural Engineering (20 papers). The work is most often cited by research in Cognitive Neuroscience (944 citations), Cellular and Molecular Neuroscience (803 citations) and Rehabilitation (195 citations). William D. Memberg has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Robert F. Kirsch, P. Hunter Peckham, Michael W. Keith, Harry A. Hoyen, A. Bolu Ajiboye, Jonathan P. Miller, Brian Murphy, Francis R. Willett, Leigh R. Hochberg and P.E. Crago. Their work appears in journals such as The Lancet, Scientific Reports and The Journal of Urology.

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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