Jordan W. Suchow
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- George A. AlvarezDaryl FougnieTimothy F. BradyThomas L. GriffithsDavid BourginJoshua C. PetersonStefan UddenbergDenis G. Pelli
- Topics
- Visual perception and processing mechanisms (10 papers)Language and cultural evolution (6 papers)Neural dynamics and brain function (6 papers)
- Partner nations
- United StatesSouth AfricaNorway
In The Last Decade
Jordan W. Suchow
42 papers receiving 742 citations
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 546
- Experimental and Cognitive Psychology 148
- Social Psychology 105
- Computer Vision and Pattern Recognition 84
- Artificial Intelligence 61
Countries citing papers authored by Jordan W. Suchow
This map shows the geographic impact of Jordan W. Suchow'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 Jordan W. Suchow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan W. Suchow more than expected).
Fields of papers citing papers by Jordan W. Suchow
This network shows the impact of papers produced by Jordan W. Suchow. 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 Jordan W. Suchow. The network helps show where Jordan W. Suchow may publish in the future.
Co-authorship network of co-authors of Jordan W. Suchow
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan W. Suchow. A scholar is included among the top collaborators of Jordan W. Suchow 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 Jordan W. Suchow. Jordan W. Suchow 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 | 10 | |
| 3 | 38 | |
| 4 | 7 | |
| 5 | Workshop on Scaling Cognitive Science. | 1 |
| 6 | Learning a face space for experiments on human identity | 3 |
| 7 | Capturing Human Category Representations by Sampling in Deep Feature Spaces | 1 |
| 8 | Empirical tests of large-scale collaborative recall. | 4 |
| 9 | Deciding to Remember: Memory Maintenance as a Markov Decision Process. | 4 |
| 10 | Rethinking Experiment Design As Algorithm Design | 3 |
| 11 | Design from Zeroth Principles. | 1 |
| 12 | 1 | |
| 13 | Measuring, monitoring, and maintaining memories in a partially observable mind | 2 |
| 14 | 58 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 81 | |
| 20 | 1 |
About Jordan W. Suchow
Jordan W. Suchow is a scholar working on Cognitive Neuroscience, Cultural Studies and Experimental and Cognitive Psychology, having authored 46 papers that have together received 773 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (10 papers), Language and cultural evolution (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (546 citations), Experimental and Cognitive Psychology (148 citations) and General Decision Sciences (17 citations). Jordan W. Suchow has collaborated with scholars based in United States, South Africa and Norway. Frequent co-authors include George A. Alvarez, Daryl Fougnie, Timothy F. Brady, Thomas L. Griffiths, David Bourgin, Joshua C. Peterson, Stefan Uddenberg, Denis G. Pelli, Alexander Todorov and Thomas J. H. Morgan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.
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.