D. Nolan
Impact in
- Statistics and Probability top 1%
- Statistics Education and Methodologies
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
-
- Advanced Statistical Process Monitoring
Papers in ⓘ
-
- Statistical Methods and Inference 6
- Advanced Statistical Methods and Models 5
- Statistics Education and Methodologies 3
- Co-authors
- J. S. Marron (1 shared paper)Terence P. Speed (1 shared paper)Paul Murrell (1 shared paper)Roger D. Peng (1 shared paper)Nicholas J. Horton (1 shared paper)Benjamin S. Baumer (1 shared paper)Paul Roback (1 shared paper)Mark Daniel Ward (1 shared paper)
- Journals
- The American Statistician (3 papers)Biometrika (2 papers)Journal of Multivariate Analysis (2 papers)Stochastic Processes and their Applications (1 paper)Sport Education and Society (1 paper)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
D. Nolan
11 papers receiving 395 citations
Peers
Comparison fields: 5 of 102
- Statistics and Probability 268
- Statistics, Probability and Uncertainty 60
- Computer Science Applications 31
- Information Systems and Management 30
- Management Information Systems 36
Countries citing papers authored by D. Nolan
This map shows the geographic impact of D. 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 D. Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Nolan more than expected).
Fields of papers citing papers by D. Nolan
This network shows the impact of papers produced by D. 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 D. Nolan. The network helps show where D. Nolan may publish in the future.
Co-authors
The 22 scholars most cited alongside D. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 141 | |
| 2 | 1988 | 97 | |
| 3 | 1992 | 44 | |
| 4 | 1999 | 43 | |
| 5 | 1991 | 34 | |
| 6 | 1995 | 31 | |
| 7 | 1999 | 16 | |
| 8 | 1999 | 13 | |
| 9 | 1994 | 12 | |
| 10 | 1992 | 6 | |
| 11 | 1995 | 3 | |
| 12 | 2005 | 0 | |
| 13 | 2023 | 0 |
About D. Nolan
D. Nolan is a scholar working on Statistics and Probability, Physical Therapy, Sports Therapy and Rehabilitation, Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 13 papers that have together received 440 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Advanced Statistical Methods and Models (5 papers), Statistics Education and Methodologies (3 papers), Bayesian Methods and Mixture Models (2 papers), Advanced Statistical Process Monitoring (1 paper), Medical Imaging Techniques and Applications (1 paper), Radioactive contamination and transfer (1 paper) and Radioactivity and Radon Measurements (1 paper). The work is most often cited by research in Statistics and Probability (268 citations), Statistics, Probability and Uncertainty (60 citations), Computer Science Applications (31 citations), Information Systems and Management (30 citations) and Management Information Systems (36 citations). D. Nolan has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include J. S. Marron, Terence P. Speed, Paul Murrell, Roger D. Peng, Nicholas J. Horton, Benjamin S. Baumer, Paul Roback, Mark Daniel Ward, Duncan Temple Lang and Olaf Hall-Holt. Their work appears in journals such as The American Statistician, Biometrika, Journal of Multivariate Analysis, Stochastic Processes and their Applications and Sport Education and Society.
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.