Richard A. Normann
- Cellular and Molecular Neuroscience top 0.05%
- Cognitive Neuroscience top 0.2%
- Electrical and Electronic Engineering top 1%
- Biomedical Engineering top 0.5%
- Marketing top 0.5%
- Co-authors
- Rafael RamírezP.J. RouscheEdwin M. MaynardK.E. JonesIdo PerlmanLarry F. MooreAlmut BrannerFlorian Solzbacher
- Topics
- Neuroscience and Neural Engineering (122 papers)EEG and Brain-Computer Interfaces (58 papers)Advanced Memory and Neural Computing (43 papers)
- Journals
- NatureScienceJournal of Neuroscience
- Partner nations
- United StatesRussiaSpain
In The Last Decade
Richard A. Normann
174 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Cellular and Molecular Neuroscience 8.0k
- Cognitive Neuroscience 5.5k
- Electrical and Electronic Engineering 3.2k
- Biomedical Engineering 3.2k
- Marketing 1.3k
Countries citing papers authored by Richard A. Normann
This map shows the geographic impact of Richard A. Normann'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 Richard A. Normann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Normann more than expected).
Fields of papers citing papers by Richard A. Normann
This network shows the impact of papers produced by Richard A. Normann. 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 Richard A. Normann. The network helps show where Richard A. Normann may publish in the future.
Co-authorship network of co-authors of Richard A. Normann
This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Normann. A scholar is included among the top collaborators of Richard A. Normann 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 Richard A. Normann. Richard A. Normann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Development of a Cortical Visual Neuroprosthesis for the Blind: Preliminary results | 3 |
| 3 | 16 | |
| 4 | 95 | |
| 5 | The BRAIN Initiative: developing technology to catalyse neuroscience discovery. | 0 |
| 6 | 13 | |
| 7 | 26 | |
| 8 | 119 | |
| 9 | 42 | |
| 10 | 7 | |
| 11 | 44 | |
| 12 | 65 | |
| 13 | 80 | |
| 14 | 140 | |
| 15 | 135 | |
| 16 | 474 | |
| 17 | Consequences of high velocity insertion of a multielectrode array into peripheral nerve | 1 |
| 18 | 6 | |
| 19 | 23 | |
| 20 | 346 |
About Richard A. Normann
Richard A. Normann is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology, having authored 177 papers that have together received 12.7k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (122 papers), EEG and Brain-Computer Interfaces (58 papers) and Advanced Memory and Neural Computing (43 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.0k citations), Cognitive Neuroscience (5.5k citations) and Marketing (1.3k citations). Richard A. Normann has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Rafael Ramírez, P.J. Rousche, Edwin M. Maynard, K.E. Jones, Ido Perlman, Larry F. Moore, Almut Branner, Florian Solzbacher, David J. Warren and Eduardo Fernández. Their work appears in journals such as Nature, Science and Journal of Neuroscience.
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.