Jasmine Collins
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
Papers in
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- Multimodal Machine Learning Applications 1
- Human Pose and Action Recognition 1
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- David Sussillo (2 shared papers)Daniel J. O’Shea (1 shared paper)Eric M. Trautmann (1 shared paper)Chethan Pandarinath (1 shared paper)Jaimie M. Henderson (1 shared paper)Krishna V. Shenoy (1 shared paper)L. F. Abbott (1 shared paper)Rafał Józefowicz (1 shared paper)
- Journals
- Nature Methods (1 paper)Cognitive Science (1 paper)Journal of Computer-Aided Molecular Design (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Jasmine Collins
6 papers receiving 415 citations
Jasmine Collins's Hit Papers
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 275
- Cellular and Molecular Neuroscience 97
- Computer Graphics and Computer-Aided Design 16
- Artificial Intelligence 101
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Jasmine Collins
This map shows the geographic impact of Jasmine Collins'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 Jasmine Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmine Collins more than expected).
Fields of papers citing papers by Jasmine Collins
This network shows the impact of papers produced by Jasmine Collins. 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 Jasmine Collins. The network helps show where Jasmine Collins may publish in the future.
Co-authors
The 25 scholars most cited alongside Jasmine Collins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Inferring single-trial neural population dynamics using sequential auto-encoders Hit paper breakdown → | 2018 | 306 |
| 2 | 2022 | 61 | |
| 3 | 2016 | 37 | |
| 4 | 2016 | 13 | |
| 5 | Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. | 2020 | 1 |
| 6 | 2024 | 1 |
About Jasmine Collins
Jasmine Collins is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computational Mechanics, having authored 6 papers that have together received 419 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (1 paper), Neuroscience and Neural Engineering (1 paper), Computational Drug Discovery Methods (1 paper), Multimodal Machine Learning Applications (1 paper), Neural Networks and Applications (1 paper), Human Pose and Action Recognition (1 paper), Machine Learning in Materials Science (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Cognitive Neuroscience (275 citations), Cellular and Molecular Neuroscience (97 citations), Computer Graphics and Computer-Aided Design (16 citations), Artificial Intelligence (101 citations) and Computer Vision and Pattern Recognition (64 citations). Jasmine Collins has collaborated with scholars based in United States, India and Germany. Frequent co-authors include David Sussillo, Daniel J. O’Shea, Eric M. Trautmann, Chethan Pandarinath, Jaimie M. Henderson, Krishna V. Shenoy, L. F. Abbott, Rafał Józefowicz, Jonathan C. Kao and Sergey D. Stavisky. Their work appears in journals such as Nature Methods, Cognitive Science, Journal of Computer-Aided Molecular Design, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.