Ben Hutchinson
- Cognitive Neuroscience top 2%
- Artificial Intelligence top 2%
- Safety Research top 1%
- Social Psychology top 5%
- Information Systems top 5%
- Co-authors
- Anthony D. WagnerMelina R. UncapherMargaret MitchellNicholas B. Turk‐BrowneAndrew SmartParker BarnesLisa Feldman BarrettEmily Denton
- Topics
- Memory and Neural Mechanisms (14 papers)Literature and Cultural Memory (9 papers)Neural and Behavioral Psychology Studies (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Ben Hutchinson
61 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cognitive Neuroscience 1.2k
- Artificial Intelligence 694
- Safety Research 456
- Social Psychology 206
- Information Systems 189
Countries citing papers authored by Ben Hutchinson
This map shows the geographic impact of Ben Hutchinson'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 Ben Hutchinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Hutchinson more than expected).
Fields of papers citing papers by Ben Hutchinson
This network shows the impact of papers produced by Ben Hutchinson. 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 Ben Hutchinson. The network helps show where Ben Hutchinson may publish in the future.
Co-authorship network of co-authors of Ben Hutchinson
This figure shows the co-authorship network connecting the top 25 collaborators of Ben Hutchinson. A scholar is included among the top collaborators of Ben Hutchinson 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 Ben Hutchinson. Ben Hutchinson 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 | 36 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligencebreakdown → | 211 |
| 7 | 144 | |
| 8 | 106 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 121 | |
| 13 | 128 | |
| 14 | 28 | |
| 15 | 107 | |
| 16 | 236 | |
| 17 | 1 | |
| 18 | Modelling the Similarity of Discourse Connectives | 5 |
| 19 | Mining the Web for Discourse Markers | 8 |
| 20 | Dependency-Based Semantic Interpretation for Answer Extraction | 5 |
About Ben Hutchinson
Ben Hutchinson is a scholar working on Literature and Literary Theory, Cognitive Neuroscience and Safety Research, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (14 papers), Literature and Cultural Memory (9 papers) and Neural and Behavioral Psychology Studies (9 papers). The work is most often cited by research in Health Informatics (151 citations), Cognitive Neuroscience (1.2k citations) and Safety Research (456 citations). Ben Hutchinson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Anthony D. Wagner, Melina R. Uncapher, Margaret Mitchell, Nicholas B. Turk‐Browne, Andrew Smart, Parker Barnes, Lisa Feldman Barrett, Emily Denton, Timnit Gebru and Jamila Smith-Loud. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.