Sage Boettcher
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Human-Computer Interaction top 10%
- Social Psychology
- Co-authors
- Dejan DraschkowMelissa L.‐H. VõJeremy M. WolfeAnna C. NobreFreek van EdeTrafton DrewMatthew S. CainAvi Aizenman
- Topics
- Neural and Behavioral Psychology Studies (26 papers)Visual perception and processing mechanisms (14 papers)Neural dynamics and brain function (8 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sage Boettcher
33 papers receiving 524 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 424
- Computer Vision and Pattern Recognition 176
- Experimental and Cognitive Psychology 76
- Human-Computer Interaction 51
- Social Psychology 42
Countries citing papers authored by Sage Boettcher
This map shows the geographic impact of Sage Boettcher'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 Sage Boettcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sage Boettcher more than expected).
Fields of papers citing papers by Sage Boettcher
This network shows the impact of papers produced by Sage Boettcher. 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 Sage Boettcher. The network helps show where Sage Boettcher may publish in the future.
Co-authorship network of co-authors of Sage Boettcher
This figure shows the co-authorship network connecting the top 25 collaborators of Sage Boettcher. A scholar is included among the top collaborators of Sage Boettcher 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 Sage Boettcher. Sage Boettcher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 33 | |
| 10 | 7 | |
| 11 | 25 | |
| 12 | 21 | |
| 13 | 12 | |
| 14 | 9 | |
| 15 | 36 | |
| 16 | 16 | |
| 17 | 26 | |
| 18 | 16 | |
| 19 | 2 | |
| 20 | 9 |
About Sage Boettcher
Sage Boettcher is a scholar working on Cognitive Neuroscience, Developmental Biology and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 530 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (26 papers), Visual perception and processing mechanisms (14 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cognitive Neuroscience (424 citations), Human-Computer Interaction (51 citations) and Computer Vision and Pattern Recognition (176 citations). Sage Boettcher has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Dejan Draschkow, Melissa L.‐H. Võ, Jeremy M. Wolfe, Anna C. Nobre, Freek van Ede, Trafton Drew, Matthew S. Cain, Avi Aizenman, Nir Shalev and Joy J. Geng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Child Development.
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.