Roland G. Benoit
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Developmental and Educational Psychology top 2%
- Social Psychology top 5%
- Applied Psychology top 2%
- Co-authors
- Daniel L. SchacterKarl K. SzpunarMichael C. AndersonSam J. GilbertPaul W. BurgessEmmanuelle VolleFelipe De BrigardDavide Francesco Stramaccia
- Topics
- Memory and Neural Mechanisms (18 papers)Memory Processes and Influences (13 papers)Neural and Behavioral Psychology Studies (9 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Roland G. Benoit
27 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 1.6k
- Experimental and Cognitive Psychology 1.0k
- Developmental and Educational Psychology 497
- Social Psychology 297
- Applied Psychology 274
Countries citing papers authored by Roland G. Benoit
This map shows the geographic impact of Roland G. Benoit'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 Roland G. Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland G. Benoit more than expected).
Fields of papers citing papers by Roland G. Benoit
This network shows the impact of papers produced by Roland G. Benoit. 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 Roland G. Benoit. The network helps show where Roland G. Benoit may publish in the future.
Co-authorship network of co-authors of Roland G. Benoit
This figure shows the co-authorship network connecting the top 25 collaborators of Roland G. Benoit. A scholar is included among the top collaborators of Roland G. Benoit 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 Roland G. Benoit. Roland G. Benoit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 58 | |
| 7 | 14 | |
| 8 | 28 | |
| 9 | Episodic future thinking: mechanisms and functionsbreakdown → | 477 |
| 10 | 33 | |
| 11 | 259 | |
| 12 | 16 | |
| 13 | 73 | |
| 14 | 152 | |
| 15 | 135 | |
| 16 | 242 | |
| 17 | 84 | |
| 18 | 99 | |
| 19 | 63 | |
| 20 | 5 |
About Roland G. Benoit
Roland G. Benoit is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Behavioral Neuroscience, having authored 28 papers that have together received 2.4k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (18 papers), Memory Processes and Influences (13 papers) and Neural and Behavioral Psychology Studies (9 papers). The work is most often cited by research in General Decision Sciences (236 citations), Cognitive Neuroscience (1.6k citations) and Experimental and Cognitive Psychology (1.0k citations). Roland G. Benoit has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Daniel L. Schacter, Karl K. Szpunar, Michael C. Anderson, Sam J. Gilbert, Paul W. Burgess, Emmanuelle Volle, Felipe De Brigard, Davide Francesco Stramaccia, Justin C. Hulbert and Preston P. Thakral. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.