Robert Becker
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 25
- Functional Brain Connectivity Studies 18
- EEG and Brain-Computer Interfaces 11
- Biophysics top 0.5%
- Electromagnetic Fields and Biological Effects 7
- Biomedical Engineering top 2%
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- Collagen: Extraction and Characterization 10
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- Neuroscience and Neural Engineering 8
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- Advanced MRI Techniques and Applications 7
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- Planarian Biology and Electrostimulation 6
- Co-authors
- C. Andrew L. BassettAndrew A. MarinoJoseph A. SpadaroPetra RitterRobert J. PawlukMaria ReichmanisArno VillringerDavid G. Murray
- Journals
- Nature (14 papers)Clinical Orthopaedics and Related Research (13 papers)NeuroImage (5 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Robert Becker
108 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Cognitive Neuroscience 1.3k
- Biophysics 363
- Orthopedics and Sports Medicine 295
- Biomedical Engineering 1.3k
- Complementary and alternative medicine 247
Countries citing papers authored by Robert Becker
This map shows the geographic impact of Robert Becker'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 Robert Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Becker more than expected).
Fields of papers citing papers by Robert Becker
This network shows the impact of papers produced by Robert Becker. 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 Robert Becker. The network helps show where Robert Becker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Becker, 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 | 2023 | 3 | |
| 2 | 2022 | 6 | |
| 3 | 2021 | 13 | |
| 4 | 2020 | 5 | |
| 5 | 2018 | 65 | |
| 6 | 2018 | 126 | |
| 7 | 2017 | 223 | |
| 8 | 2014 | 114 | |
| 9 | 2013 | 34 | |
| 10 | 2011 | 208 | |
| 11 | 2011 | 100 | |
| 12 | 2010 | 11 | |
| 13 | 2009 | 14 | |
| 14 | 2009 | 30 | |
| 15 | 2007 | 63 | |
| 16 | 2006 | 9 | |
| 17 | 2005 | 53 | |
| 18 | 1996 | 13 | |
| 19 | Evidence for a Primitive DC Electrical Analog System Controlling Brain Function | 1991 | 10 |
| 20 | 1960 | 21 |
About Robert Becker
Robert Becker is a scholar working on Cognitive Neuroscience, Biophysics and Biomaterials, having authored 112 papers that have together received 5.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (25 papers), Functional Brain Connectivity Studies (18 papers), EEG and Brain-Computer Interfaces (11 papers), Collagen: Extraction and Characterization (10 papers), Neuroscience and Neural Engineering (8 papers), Electromagnetic Fields and Biological Effects (7 papers), Advanced MRI Techniques and Applications (7 papers) and Planarian Biology and Electrostimulation (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Biophysics (363 citations) and Orthopedics and Sports Medicine (295 citations). Robert Becker has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include C. Andrew L. Bassett, Andrew A. Marino, Joseph A. Spadaro, Petra Ritter, Robert J. Pawluk, Maria Reichmanis, Arno Villringer, David G. Murray, Frank Freyer and Thomas Berger. Their work appears in journals such as Nature, Clinical Orthopaedics and Related Research, NeuroImage, The American Journal of Chinese Medicine and Calcified Tissue International.
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.