Jonathan Taylor
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
Papers in
-
- Morphological variations and asymmetry 4
- Geometry and complex manifolds 3
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- Point processes and geometric inequalities 4
- Geometric Analysis and Curvature Flows 2
- Co-authors
- Ryan J. Tibshirani (3 shared papers)Keith J. Worsley (3 shared papers)Francesco Tomaiuolo (1 shared paper)Jason P. Lerch (1 shared paper)Robert J. Adler (6 shared papers)Gennady Samorodnitsky (2 shared papers)Richard Lockhart (2 shared papers)Robert Tibshirani (2 shared papers)
- Journals
- The Annals of Probability (3 papers)The Annals of Statistics (3 papers)Advances in Applied Probability (1 paper)NeuroImage (1 paper)Figshare (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Jonathan Taylor
13 papers receiving 672 citations
Peers
Comparison fields: 5 of 108
- Statistics and Probability 153
- Computational Mathematics 7
- Cognitive Neuroscience 164
- Geometry and Topology 74
- Radiology, Nuclear Medicine and Imaging 134
Countries citing papers authored by Jonathan Taylor
This map shows the geographic impact of Jonathan Taylor'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 Jonathan Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Taylor more than expected).
Fields of papers citing papers by Jonathan Taylor
This network shows the impact of papers produced by Jonathan Taylor. 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 Jonathan Taylor. The network helps show where Jonathan Taylor may publish in the future.
Co-authors
The 10 scholars most cited alongside Jonathan Taylor, 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 | 2004 | 264 | |
| 2 | 2012 | 201 | |
| 3 | 2003 | 77 | |
| 4 | 2008 | 47 | |
| 5 | 2006 | 27 | |
| 6 | Post-selection adaptive inference for Least Angle Regression and the Lasso | 2014 | 19 |
| 7 | 2013 | 19 | |
| 8 | 2010 | 12 | |
| 9 | Topological Complexity of Smooth Random Functions: École d'Été de Probabilités de Saint-Flour XXXIX-2009 | 2011 | 9 |
| 10 | 2012 | 8 | |
| 11 | GAUSSIAN PROCESSES, KINEMATIC FORMULAE AND POINCARÉ’S LIMIT | 2009 | 6 |
| 12 | 2014 | 4 | |
| 13 | TILTED EULER CHARACTERISTIC DENSITIES FOR CENTRAL LIMIT RANDOM FIELDS, WITH APPLICATION TO “BUBBLES” | 2007 | 3 |
About Jonathan Taylor
Jonathan Taylor is a scholar working on Geometry and Topology, Applied Mathematics, Statistics and Probability, Mathematical Physics and Finance, having authored 13 papers that have together received 696 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (4 papers), Morphological variations and asymmetry (4 papers), Geometry and complex manifolds (3 papers), Statistical Methods and Inference (3 papers), Geometric Analysis and Curvature Flows (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Soil Geostatistics and Mapping (2 papers) and Stochastic processes and statistical mechanics (2 papers). The work is most often cited by research in Statistics and Probability (153 citations), Computational Mathematics (7 citations), Cognitive Neuroscience (164 citations), Geometry and Topology (74 citations) and Radiology, Nuclear Medicine and Imaging (134 citations). Jonathan Taylor has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Ryan J. Tibshirani, Keith J. Worsley, Francesco Tomaiuolo, Jason P. Lerch, Robert J. Adler, Gennady Samorodnitsky, Richard Lockhart, Robert Tibshirani, Eliran Subag and Frédéric Gosselin. Their work appears in journals such as The Annals of Probability, The Annals of Statistics, Advances in Applied Probability, NeuroImage and Figshare.
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.