Richard R. Picard
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 4
- Advanced Statistical Methods and Models 4
- Markov Chains and Monte Carlo Methods 3
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- Probabilistic and Robust Engineering Design 6
- Risk and Safety Analysis 3
- Advanced Statistical Process Monitoring 3
- Analytical Chemistry top 5%
- Environmental Engineering top 10%
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- Bacillus and Francisella bacterial research 3
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- Data-Driven Disease Surveillance 3
Richard R. Picard
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Statistics and Probability 198
- Statistics, Probability and Uncertainty 106
- Analytical Chemistry 115
- Environmental Engineering 138
- Management Science and Operations Research 119
Countries citing papers authored by Richard R. Picard
This map shows the geographic impact of Richard R. Picard'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 Richard R. Picard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard R. Picard more than expected).
Fields of papers citing papers by Richard R. Picard
This network shows the impact of papers produced by Richard R. Picard. 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 Richard R. Picard. The network helps show where Richard R. Picard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard R. Picard, 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 | 2018 | 1 | |
| 2 | 2015 | 0 | |
| 3 | 2006 | 12 | |
| 4 | 2005 | 1 | |
| 5 | 2004 | 7 | |
| 6 | Results from the fielding of the Bio-surveillance Analysis, Feedback, Evaluation and Response (B-SAFER) system in Albuquerque, New Mexico. | 2003 | 5 |
| 7 | 2002 | 3 | |
| 8 | 2001 | 2 | |
| 9 | 2000 | 81 | |
| 10 | 1998 | 6 | |
| 11 | Seamless High Off-Chip Connectivity | 1998 | 5 |
| 12 | 1995 | 6 | |
| 13 | 1993 | 3 | |
| 14 | Practical problems in aggregating expert opinions | 1993 | 1 |
| 15 | 1992 | 4 | |
| 16 | 1991 | 43 | |
| 17 | 1990 | 118 | |
| 18 | Sequential analysis of materials balances | 1987 | 1 |
| 19 | Cross-Validation of Regression Modelsbreakdown → | 1984 | 1159 |
| 20 | 1982 | 13 |
About Richard R. Picard
Richard R. Picard is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Safety, Risk, Reliability and Quality and Condensed Matter Physics, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (6 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Methods and Models (4 papers), Risk and Safety Analysis (3 papers), Advanced Statistical Process Monitoring (3 papers), Bacillus and Francisella bacterial research (3 papers), Markov Chains and Monte Carlo Methods (3 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Statistics and Probability (198 citations), Statistics, Probability and Uncertainty (106 citations), Analytical Chemistry (115 citations), Environmental Engineering (138 citations) and Management Science and Operations Research (119 citations). Richard R. Picard has collaborated with scholars based in United States and Czechia. Frequent co-authors include R. Dennis Cook, Kenneth N. Berk, R. N. Silver, Mark Fitzgerald, Harry F. Martz, A. Goldman, Tom Burr, Todd Graves, Sarah Michalak and Tom Booth. Their work appears in journals such as Journal of the American Statistical Association, Technometrics, The American Statistician, Reliability Engineering & System Safety and Mathematics and Computers in Simulation.
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.