Robert E. McCulloch
- Statistics and Probability top 0.1%
- Statistical Methods and Inference 23
- Advanced Statistical Methods and Models 19
- Statistical Methods and Bayesian Inference 15
- Marketing top 1%
- Artificial Intelligence top 0.5%
- Bayesian Methods and Mixture Models 13
- Finance top 2%
- Financial Risk and Volatility Modeling 10
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- Complex Systems and Time Series Analysis 8
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- Statistical and numerical algorithms 7
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- Fault Detection and Control Systems 4
- Co-authors
- Edward I. GeorgeHugh ChipmanPeter E. RossiRuey S. TsayGreg M. AllenbyEric D. KolaczykNicholas G. PolsonPurushottam W. Laud
- Journals
- Journal of the American Statistical Association (16 papers)Journal of Econometrics (4 papers)Journal of Computational and Graphical Statistics (2 papers)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Robert E. McCulloch
62 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Statistics and Probability 2.2k
- Marketing 650
- Artificial Intelligence 1.7k
- Management Science and Operations Research 633
- Finance 493
Countries citing papers authored by Robert E. McCulloch
This map shows the geographic impact of Robert E. McCulloch'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. McCulloch 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. McCulloch more than expected).
Fields of papers citing papers by Robert E. McCulloch
This network shows the impact of papers produced by Robert E. McCulloch. 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. McCulloch. The network helps show where Robert E. McCulloch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert E. McCulloch, 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 | 7 | |
| 2 | 2006 | 38 | |
| 3 | Managing Multiple Models. | 2001 | 7 |
| 4 | 2000 | 186 | |
| 5 | 1998 | 422 | |
| 6 | A UNIFIED APPROACH TO ESTIMATING AND MODELING LINEAR AND NONLINEAR TIME SERIES | 1997 | 8 |
| 7 | APPROACHES FOR BAYESIAN VARIABLE SELECTIONbreakdown → | 1997 | 750 |
| 8 | 1997 | 1 | |
| 9 | The Value of Purchase History Data in Target Marketingbreakdown → | 1996 | 578 |
| 10 | 1994 | 105 | |
| 11 | 1994 | 20 | |
| 12 | Variable Selection via Gibbs Samplingbreakdown → | 1993 | 1745 |
| 13 | 1993 | 116 | |
| 14 | 1993 | 266 | |
| 15 | 1993 | 13 | |
| 16 | 1992 | 28 | |
| 17 | 1990 | 45 | |
| 18 | 1989 | 135 | |
| 19 | 1989 | 16 | |
| 20 | 1987 | 9 |
About Robert E. McCulloch
Robert E. McCulloch is a scholar working on Statistics and Probability, Finance and Artificial Intelligence, having authored 63 papers that have together received 6.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Advanced Statistical Methods and Models (19 papers), Statistical Methods and Bayesian Inference (15 papers), Bayesian Methods and Mixture Models (13 papers), Financial Risk and Volatility Modeling (10 papers), Complex Systems and Time Series Analysis (8 papers), Statistical and numerical algorithms (7 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Statistics and Probability (2.2k citations), Marketing (650 citations) and Artificial Intelligence (1.7k citations). Robert E. McCulloch has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Edward I. George, Hugh Chipman, Peter E. Rossi, Ruey S. Tsay, Greg M. Allenby, Eric D. Kolaczyk, Nicholas G. Polson, Purushottam W. Laud, Brent R. Logan and Rodney Sparapani. Their work appears in journals such as Journal of the American Statistical Association, Journal of Econometrics, Journal of Computational and Graphical Statistics, Statistica Sinica 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.