Robert E. Kass
- Statistics and Probability top 0.02%
- Statistical Methods and Bayesian Inference 25
- Statistical Methods and Inference 16
- Statistical Distribution Estimation and Applications 12
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 56
- EEG and Brain-Computer Interfaces 17
- Functional Brain Connectivity Studies 17
- General Decision Sciences top 1%
- Artificial Intelligence top 0.1%
- Bayesian Methods and Mixture Models 12
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- Neuroscience and Neural Engineering 12
- Co-authors
- Adrian E. RafteryLarry WassermanEmery N. BrownThomas J. DiCiccioValérie VenturaD. J. SpiegelhalterPartha P. MitraMichael J. Daniels
- Journals
- Journal of the American Statistical Association (31 papers)Journal of Neurophysiology (11 papers)Neural Computation (8 papers)
- Partner nations
- United StatesCanadaNew Zealand
In The Last Decade
Robert E. Kass
149 papers receiving 22.8k citations
Hit Papers
Peers
Comparison fields: 5 of 233
- Statistics and Probability 5.4k
- Cognitive Neuroscience 4.8k
- General Decision Sciences 335
- Statistics, Probability and Uncertainty 1.2k
- Artificial Intelligence 4.3k
Countries citing papers authored by Robert E. Kass
This map shows the geographic impact of Robert E. Kass'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 Robert E. Kass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Kass more than expected).
Fields of papers citing papers by Robert E. Kass
This network shows the impact of papers produced by Robert E. Kass. 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 Robert E. Kass. The network helps show where Robert E. Kass may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert E. Kass, 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 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2020 | 7 | |
| 4 | 2019 | 6 | |
| 5 | Efficient and accurate extraction of in vivo calcium signals from microendoscopic video databreakdown → | 2018 | 417 |
| 6 | 2018 | 7 | |
| 7 | Consistency in Brain Activation Predicts Success in Transfer. | 2015 | 1 |
| 8 | 2015 | 46 | |
| 9 | 2010 | 105 | |
| 10 | 2009 | 104 | |
| 11 | 2009 | 37 | |
| 12 | 2008 | 220 | |
| 13 | 2000 | 142 | |
| 14 | 1999 | 156 | |
| 15 | 1998 | 434 | |
| 16 | Computing Bayes Factors by Combining Simulation and Asymptotic Approximationsbreakdown → | 1997 | 1516 |
| 17 | The Selection of Prior Distributions by Formal Rulesbreakdown → | 1996 | 733 |
| 18 | Bayes Factorsbreakdown → | 1995 | 9294 |
| 19 | 1987 | 3 | |
| 20 | 1982 | 1 |
About Robert E. Kass
Robert E. Kass is a scholar working on Statistics and Probability, Cognitive Neuroscience and Computational Mathematics, having authored 158 papers that have together received 23.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (56 papers), Statistical Methods and Bayesian Inference (25 papers), EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (17 papers), Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (12 papers), Neuroscience and Neural Engineering (12 papers) and Statistical Distribution Estimation and Applications (12 papers). The work is most often cited by research in Statistics and Probability (5.4k citations), Cognitive Neuroscience (4.8k citations) and General Decision Sciences (335 citations). Robert E. Kass has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Adrian E. Raftery, Larry Wasserman, Larry Wasserman, Emery N. Brown, Thomas J. DiCiccio, Valérie Ventura, D. J. Spiegelhalter, Partha P. Mitra, Michael J. Daniels and L. H. Wasserman. Their work appears in journals such as Journal of the American Statistical Association, Journal of Neurophysiology, Neural Computation, Statistics in Medicine and Biometrika.
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.