Talfan Evans
- Computational Mechanics top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- R. K. BeatsonToby J. MitchellW. R. FrightJ. C. CarrB. C. McCallumSam McKenzieGyörgy BuzsákiDaniel F. English
- Topics
- Neural dynamics and brain function (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- NeuronThe Journal of Physiology2022 International Conference on Robotics and Automation (ICRA)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Talfan Evans
6 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computational Mechanics 831
- Computer Graphics and Computer-Aided Design 608
- Computer Vision and Pattern Recognition 488
- Cognitive Neuroscience 187
- Cellular and Molecular Neuroscience 158
Countries citing papers authored by Talfan Evans
This map shows the geographic impact of Talfan Evans'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 Talfan Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Talfan Evans more than expected).
Fields of papers citing papers by Talfan Evans
This network shows the impact of papers produced by Talfan Evans. 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 Talfan Evans. The network helps show where Talfan Evans may publish in the future.
Co-authorship network of co-authors of Talfan Evans
This figure shows the co-authorship network connecting the top 25 collaborators of Talfan Evans. A scholar is included among the top collaborators of Talfan Evans 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 Talfan Evans. Talfan Evans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Coordinated hippocampal-entorhinal replay as structural inference | 6 |
| 3 | 1 | |
| 4 | 166 | |
| 5 | 30 | |
| 6 | Reconstruction and representation of 3D objects with radial basis functionsbreakdown → | 1295 |
About Talfan Evans
Talfan Evans is a scholar working on Computer Graphics and Computer-Aided Design, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (608 citations), Computational Mechanics (831 citations) and Geology (151 citations). Talfan Evans has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include R. K. Beatson, Toby J. Mitchell, W. R. Fright, J. C. Carr, B. C. McCallum, Sam McKenzie, György Buzsáki, Daniel F. English, Euisik Yoon and Kanghwan Kim. Their work appears in journals such as Neuron, The Journal of Physiology and 2022 International Conference on Robotics and Automation (ICRA).
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.