Deborah Nolan
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Inference
- Statistics Education and Methodologies
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
Papers in
-
- Statistics Education and Methodologies 19
- Advanced Statistical Methods and Models 3
-
- Data Analysis with R 21
- Co-authors
- David Pollard (2 shared papers)Duncan Temple Lang (24 shared papers)Andrew Gelman (13 shared papers)Prabir Burman (2 shared papers)Edmond Chow (2 shared papers)Jamis J. Perrett (1 shared paper)James Stephen Marron (1 shared paper)Terence Paul Speed (1 shared paper)
- Journals
- The American Statistician (6 papers)Statistical Science (2 papers)Biometrika (2 papers)Journal of the American Statistical Association (2 papers)Journal of Time Series Analysis (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Deborah Nolan
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 138
- Statistics and Probability 992
- Statistics, Probability and Uncertainty 103
- Artificial Intelligence 492
- Finance 125
- Management Science and Operations Research 166
Countries citing papers authored by Deborah Nolan
This map shows the geographic impact of Deborah Nolan'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 Deborah Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Nolan more than expected).
Fields of papers citing papers by Deborah Nolan
This network shows the impact of papers produced by Deborah Nolan. 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 Deborah Nolan. The network helps show where Deborah Nolan may publish in the future.
Co-authors
The 25 scholars most cited alongside Deborah Nolan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 421 | |
| 2 | 1987 | 276 | |
| 3 | 2017 | 166 | |
| 4 | 1994 | 143 | |
| 5 | 2010 | 113 | |
| 6 | 1988 | 70 | |
| 7 | 2015 | 45 | |
| 8 | 2007 | 34 | |
| 9 | 2002 | 28 | |
| 10 | 2013 | 26 | |
| 11 | 2000 | 24 | |
| 12 | 2002 | 22 | |
| 13 | 2013 | 21 | |
| 14 | 2017 | 17 | |
| 15 | 1989 | 17 | |
| 16 | 2002 | 16 | |
| 17 | 2013 | 15 | |
| 18 | 1995 | 14 | |
| 19 | 1994 | 11 | |
| 20 | 1992 | 11 |
About Deborah Nolan
Deborah Nolan is a scholar working on Statistics and Probability, Artificial Intelligence, Information Systems, Information Systems and Management and Management Science and Operations Research, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Analysis with R (21 papers), Statistics Education and Methodologies (19 papers), Scientific Computing and Data Management (4 papers), Data Mining Algorithms and Applications (4 papers), Advanced Statistical Methods and Models (3 papers), Service-Oriented Architecture and Web Services (3 papers), Fault Detection and Control Systems (3 papers) and Mathematics, Computing, and Information Processing (2 papers). The work is most often cited by research in Statistics and Probability (992 citations), Statistics, Probability and Uncertainty (103 citations), Artificial Intelligence (492 citations), Finance (125 citations) and Management Science and Operations Research (166 citations). Deborah Nolan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David Pollard, Duncan Temple Lang, Andrew Gelman, Prabir Burman, Edmond Chow, Jamis J. Perrett, James Stephen Marron, Terence Paul Speed, Robert W. Peters and Stephen R. Shorofsky. Their work appears in journals such as The American Statistician, Statistical Science, Biometrika, Journal of the American Statistical Association and Journal of Time Series Analysis.
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.