Daniel M. Roberts
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Physiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Craig G. McDonaldGeorge A. BuzzellCarryl L. BaldwinJohn R. FedotaOrfeu M. BuxtonDaniel GartenbergMargeaux M. SchadeGina Marie Mathew
- Topics
- EEG and Brain-Computer Interfaces (12 papers)Human-Automation Interaction and Safety (10 papers)Neural and Behavioral Psychology Studies (10 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel M. Roberts
34 papers receiving 707 citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 445
- Experimental and Cognitive Psychology 189
- Social Psychology 142
- Physiology 79
- Cardiology and Cardiovascular Medicine 49
Countries citing papers authored by Daniel M. Roberts
This map shows the geographic impact of Daniel M. Roberts'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 M. Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Roberts more than expected).
Fields of papers citing papers by Daniel M. Roberts
This network shows the impact of papers produced by Daniel M. Roberts. 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 M. Roberts. The network helps show where Daniel M. Roberts may publish in the future.
Co-authorship network of co-authors of Daniel M. Roberts
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Roberts. A scholar is included among the top collaborators of Daniel M. Roberts 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 M. Roberts. Daniel M. Roberts 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 | 105 | |
| 4 | 15 | |
| 5 | 26 | |
| 6 | 13 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 53 | |
| 11 | 49 | |
| 12 | 135 | |
| 13 | 6 | |
| 14 | 40 | |
| 15 | 52 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 23 | |
| 19 | 3 | |
| 20 | 38 |
About Daniel M. Roberts
Daniel M. Roberts is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology, having authored 35 papers that have together received 728 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Human-Automation Interaction and Safety (10 papers) and Neural and Behavioral Psychology Studies (10 papers). The work is most often cited by research in Cognitive Neuroscience (445 citations), Experimental and Cognitive Psychology (189 citations) and Social Psychology (142 citations). Daniel M. Roberts has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Craig G. McDonald, George A. Buzzell, Carryl L. Baldwin, John R. Fedota, Orfeu M. Buxton, Daniel Gartenberg, Margeaux M. Schade, Gina Marie Mathew, John D. Lee and J. Stephen Higgins. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Journal of Cognitive 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.