Jeffrey Regier
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Extracellular vesicles in disease
- Bioinformatics and Genomic Networks
Papers in
-
- Algorithms and Data Compression 2
- Machine Learning and Algorithms 2
-
- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 2
- Co-authors
- Nir Yosef (5 shared papers)Romain Lopez (5 shared papers)Michael I. Jordan (6 shared papers)Michael B. Cole (1 shared paper)Chenling Xu (1 shared paper)Adam Gayoso (2 shared papers)Kristopher L. Nazor (1 shared paper)Aaron Streets (1 shared paper)
- Journals
- Nature Methods (2 papers)The Astronomical Journal (2 papers)Journal of Parallel and Distributed Computing (1 paper)SIAM/ASA Journal on Uncertainty Quantification (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Jeffrey Regier
13 papers receiving 1.8k citations
Jeffrey Regier's Hit Papers
Peers
Comparison fields: 5 of 97
- Biophysics 385
- Molecular Biology 1.5k
- Cancer Research 265
- Immunology 255
- Neurology 46
Countries citing papers authored by Jeffrey Regier
This map shows the geographic impact of Jeffrey Regier'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 Jeffrey Regier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Regier more than expected).
Fields of papers citing papers by Jeffrey Regier
This network shows the impact of papers produced by Jeffrey Regier. 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 Jeffrey Regier. The network helps show where Jeffrey Regier may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Regier, 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 | Deep generative modeling for single-cell transcriptomics Hit paper breakdown → | 2018 | 1181 |
| 2 | Joint probabilistic modeling of single-cell multi-omic data with totalVI Hit paper breakdown → | 2021 | 274 |
| 3 | Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models Hit paper breakdown → | 2021 | 265 |
| 4 | Stochastic Cubic Regularization for Fast Nonconvex Optimization | 2018 | 20 |
| 5 | 2023 | 19 | |
| 6 | 2018 | 9 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2015 | 8 | |
| 10 | Information Constraints on Auto-Encoding Variational Bayes | 2018 | 7 |
| 11 | 2015 | 7 | |
| 12 | Rao-Blackwellized Stochastic Gradients for Discrete Distributions | 2019 | 4 |
| 13 | A Gaussian process model of quasar spectral energy distributions | 2015 | 1 |
| 14 | 2025 | 1 | |
| 15 | 2026 | 0 |
About Jeffrey Regier
Jeffrey Regier is a scholar working on Artificial Intelligence, Molecular Biology, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Biophysics, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Galaxies: Formation, Evolution, Phenomena (4 papers), Cell Image Analysis Techniques (3 papers), Gene expression and cancer classification (2 papers), Advanced Vision and Imaging (2 papers), Algorithms and Data Compression (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Biophysics (385 citations), Molecular Biology (1.5k citations), Cancer Research (265 citations), Immunology (255 citations) and Neurology (46 citations). Jeffrey Regier has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Nir Yosef, Romain Lopez, Michael I. Jordan, Michael B. Cole, Chenling Xu, Adam Gayoso, Kristopher L. Nazor, Aaron Streets, Zoë Steier and Jon McAuliffe. Their work appears in journals such as Nature Methods, The Astronomical Journal, Journal of Parallel and Distributed Computing, SIAM/ASA Journal on Uncertainty Quantification and The Annals of Applied Statistics.
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.