Christopher R. Genovese
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies 8
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 14
- Statistical Methods in Clinical Trials 9
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- Advanced MRI Techniques and Applications 8
- Psychiatry and Mental health top 2%
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- Galaxies: Formation, Evolution, Phenomena 9
- Cosmology and Gravitation Theories 6
- Gamma-ray bursts and supernovae 5
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- Bayesian Methods and Mixture Models 7
- Co-authors
- Nicole A. LazarThomas E. NicholsLarry WassermanElisha P. MerriamCarol L. ColbyWilliam F. EddyRobert E. KassJohn A. Sweeney
- Journals
- Neuron (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (8 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Christopher R. Genovese
73 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Cognitive Neuroscience 4.2k
- Statistics and Probability 1.1k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Experimental and Cognitive Psychology 704
- Psychiatry and Mental health 770
Countries citing papers authored by Christopher R. Genovese
This map shows the geographic impact of Christopher R. Genovese'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 Christopher R. Genovese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher R. Genovese more than expected).
Fields of papers citing papers by Christopher R. Genovese
This network shows the impact of papers produced by Christopher R. Genovese. 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 Christopher R. Genovese. The network helps show where Christopher R. Genovese may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher R. Genovese, 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 | 2019 | 8 | |
| 2 | 2018 | 4 | |
| 3 | 2018 | 0 | |
| 4 | 2018 | 2 | |
| 5 | 2016 | 39 | |
| 6 | Optimal ridge detection using coverage risk | 2015 | 1 |
| 7 | Nonparametric ridge estimation | 2014 | 54 |
| 8 | 2013 | 1 | |
| 9 | 2012 | 31 | |
| 10 | 2012 | 50 | |
| 11 | Manifold estimation and singular deconvolution under Hausdorff loss | 2012 | 39 |
| 12 | Nonparametric Filament Estimation | 2010 | 5 |
| 13 | 2009 | 7 | |
| 14 | 2006 | 143 | |
| 15 | Active Learning For Identifying Function Threshold Boundaries | 2005 | 44 |
| 16 | Multi-Tree Methods for Statistics on Very Large Datasets in Astronomy | 2004 | 1 |
| 17 | Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Ratebreakdown → | 2002 | 4097 |
| 18 | Maturation of Widely Distributed Brain Function Subserves Cognitive Developmentbreakdown → | 2001 | 540 |
| 19 | 2001 | 10 | |
| 20 | 1998 | 16 |
About Christopher R. Genovese
Christopher R. Genovese is a scholar working on Statistics and Probability, Instrumentation and Astronomy and Astrophysics, having authored 75 papers that have together received 7.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Statistical Methods in Clinical Trials (9 papers), Galaxies: Formation, Evolution, Phenomena (9 papers), Advanced MRI Techniques and Applications (8 papers), Functional Brain Connectivity Studies (8 papers), Bayesian Methods and Mixture Models (7 papers), Cosmology and Gravitation Theories (6 papers) and Gamma-ray bursts and supernovae (5 papers). The work is most often cited by research in Cognitive Neuroscience (4.2k citations), Statistics and Probability (1.1k citations) and Radiology, Nuclear Medicine and Imaging (1.3k citations). Christopher R. Genovese has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Nicole A. Lazar, Thomas E. Nichols, Larry Wasserman, Elisha P. Merriam, Carol L. Colby, William F. Eddy, Robert E. Kass, John A. Sweeney, Beatríz Luna and Keith R. Thulborn. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.