David T. Rollings
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Experimental and Cognitive Psychology
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Co-authors
- Andrew P. BagshawBernhard P. StaresinaMaria WimberSimon HanslmayrRamesh ChelvarajahFrédéric RouxVijay SawlaniRebecca S. Wilson
- Topics
- Neural dynamics and brain function (9 papers)EEG and Brain-Computer Interfaces (7 papers)Memory and Neural Mechanisms (6 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
David T. Rollings
13 papers receiving 377 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 337
- Cellular and Molecular Neuroscience 97
- Experimental and Cognitive Psychology 43
- Radiology, Nuclear Medicine and Imaging 34
- Neurology 20
Countries citing papers authored by David T. Rollings
This map shows the geographic impact of David T. Rollings'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 David T. Rollings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Rollings more than expected).
Fields of papers citing papers by David T. Rollings
This network shows the impact of papers produced by David T. Rollings. 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 David T. Rollings. The network helps show where David T. Rollings may publish in the future.
Co-authorship network of co-authors of David T. Rollings
This figure shows the co-authorship network connecting the top 25 collaborators of David T. Rollings. A scholar is included among the top collaborators of David T. Rollings 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 David T. Rollings. David T. Rollings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 27 | |
| 3 | 16 | |
| 4 | 44 | |
| 5 | 29 | |
| 6 | 95 | |
| 7 | 37 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 39 | |
| 11 | 50 | |
| 12 | 3 | |
| 13 | 12 |
About David T. Rollings
David T. Rollings is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 13 papers that have together received 378 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Memory and Neural Mechanisms (6 papers). The work is most often cited by research in Cognitive Neuroscience (337 citations), Cellular and Molecular Neuroscience (97 citations) and Experimental and Cognitive Psychology (43 citations). David T. Rollings has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Andrew P. Bagshaw, Bernhard P. Staresina, Maria Wimber, Simon Hanslmayr, Ramesh Chelvarajah, Frédéric Roux, Vijay Sawlani, Rebecca S. Wilson, Stephanie Gollwitzer and Hajo M. Hamer. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.