Daniel W. Moran
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 0.2%
- Biomedical Engineering top 1%
- Electrical and Electronic Engineering top 5%
- Neurology top 5%
- Co-authors
- Andrew B. SchwartzEric C. LeuthardtGerwin SchalkJeffrey G. OjemannJonathan R. WolpawDouglas J. WeberNicholas AndersonKai J. Miller
- Topics
- EEG and Brain-Computer Interfaces (39 papers)Neuroscience and Neural Engineering (38 papers)Neural dynamics and brain function (19 papers)
- Journals
- ScienceNeuronJournal of Neuroscience
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Daniel W. Moran
63 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 5.4k
- Cellular and Molecular Neuroscience 3.8k
- Biomedical Engineering 1.9k
- Electrical and Electronic Engineering 1.0k
- Neurology 375
Countries citing papers authored by Daniel W. Moran
This map shows the geographic impact of Daniel W. Moran'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 Daniel W. Moran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Moran more than expected).
Fields of papers citing papers by Daniel W. Moran
This network shows the impact of papers produced by Daniel W. Moran. 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 Daniel W. Moran. The network helps show where Daniel W. Moran may publish in the future.
Co-authorship network of co-authors of Daniel W. Moran
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Moran. A scholar is included among the top collaborators of Daniel W. Moran 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 Daniel W. Moran. Daniel W. Moran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 68 | |
| 7 | 6 | |
| 8 | 39 | |
| 9 | 44 | |
| 10 | 117 | |
| 11 | 71 | |
| 12 | 68 | |
| 13 | 37 | |
| 14 | 355 | |
| 15 | 79 | |
| 16 | Spectral Changes in Cortical Surface Potentials during Motor Movementbreakdown → | 564 |
| 17 | 115 | |
| 18 | Brain-Controlled Interfaces: Movement Restoration with Neural Prostheticsbreakdown → | 592 |
| 19 | A brain–computer interface using electrocorticographic signals in humansbreakdown → | 869 |
| 20 | 72 |
About Daniel W. Moran
Daniel W. Moran is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 65 papers that have together received 6.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (39 papers), Neuroscience and Neural Engineering (38 papers) and Neural dynamics and brain function (19 papers). The work is most often cited by research in Cognitive Neuroscience (5.4k citations), Cellular and Molecular Neuroscience (3.8k citations) and Human-Computer Interaction (325 citations). Daniel W. Moran has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Andrew B. Schwartz, Eric C. Leuthardt, Gerwin Schalk, Jeffrey G. Ojemann, Jonathan R. Wolpaw, Douglas J. Weber, Nicholas Anderson, Kai J. Miller, Xinyan Tracy Cui and Cara L. Lewis. Their work appears in journals such as Science, Neuron 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.