Paul E. Barkhaus
Impact in
Papers in
- Neurology 28
- Amyotrophic Lateral Sclerosis Research 19
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- Muscle activation and electromyography studies 24
- Co-authors
- Sanjeev D. Nandedkar (48 shared papers)Erik Stålberg (19 shared papers)Donald B. Sanders (6 shared papers)Mamede de Carvalho (6 shared papers)Ping Zhou (9 shared papers)Markus Weber (5 shared papers)Christoph Neuwirth (5 shared papers)William Z. Rymer (6 shared papers)
- Journals
- Muscle & Nerve (35 papers)Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (7 papers)Clinical Neurophysiology (5 papers)Neurology (3 papers)Journal of Clinical Neurophysiology (2 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Paul E. Barkhaus
76 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 102
- Neurology 825
- Genetics 315
- Cellular and Molecular Neuroscience 494
- Biomedical Engineering 681
- Cognitive Neuroscience 263
Countries citing papers authored by Paul E. Barkhaus
This map shows the geographic impact of Paul E. Barkhaus'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 Paul E. Barkhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Barkhaus more than expected).
Fields of papers citing papers by Paul E. Barkhaus
This network shows the impact of papers produced by Paul E. Barkhaus. 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 Paul E. Barkhaus. The network helps show where Paul E. Barkhaus may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul E. Barkhaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 304 | |
| 2 | 1998 | 161 | |
| 3 | 2010 | 154 | |
| 4 | 2004 | 139 | |
| 5 | 1988 | 126 | |
| 6 | 2011 | 93 | |
| 7 | 1985 | 91 | |
| 8 | 1989 | 82 | |
| 9 | 2015 | 81 | |
| 10 | 2018 | 73 | |
| 11 | 2007 | 58 | |
| 12 | 2016 | 56 | |
| 13 | 1995 | 55 | |
| 14 | 2011 | 55 | |
| 15 | 1994 | 54 | |
| 16 | 2018 | 43 | |
| 17 | 1990 | 42 | |
| 18 | 2012 | 42 | |
| 19 | 2013 | 40 | |
| 20 | 2019 | 38 |
About Paul E. Barkhaus
Paul E. Barkhaus is a scholar working on Neurology, Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience, having authored 80 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (24 papers), Amyotrophic Lateral Sclerosis Research (19 papers), Neuroscience and Neural Engineering (10 papers), Neurogenetic and Muscular Disorders Research (8 papers), EEG and Brain-Computer Interfaces (6 papers), Ion channel regulation and function (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Muscle Physiology and Disorders (4 papers). The work is most often cited by research in Neurology (825 citations), Genetics (315 citations), Cellular and Molecular Neuroscience (494 citations), Biomedical Engineering (681 citations) and Cognitive Neuroscience (263 citations). Paul E. Barkhaus has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Sanjeev D. Nandedkar, Erik Stålberg, Donald B. Sanders, Mamede de Carvalho, Ping Zhou, Markus Weber, Christoph Neuwirth, William Z. Rymer, Xu Zhang and José Castro. Their work appears in journals such as Muscle & Nerve, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Clinical Neurophysiology, Neurology and Journal of Clinical Neurophysiology.
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.