D. Nolan
Impact in
- Statistics and Probability top 1%
- Statistics Education and Methodologies
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Probability and Statistical Research
- Statistical Methods and Applications
- Statistical Distribution Estimation and Applications
- Computer Science Applications top 10%
- Teaching and Learning Programming
Papers in
-
- Probability and Statistical Research 3
- Statistical Methods and Inference 3
- Statistics Education and Methodologies 2
- Advanced Statistical Methods and Models 2
- Statistical Methods and Applications 2
- Statistical Distribution Estimation and Applications 1
-
- Point processes and geometric inequalities 2
- Co-authors
- James Stephen Marron (1 shared paper)Terence Paul Speed (1 shared paper)Nicholas J. Horton (1 shared paper)Paul Roback (1 shared paper)Johanna Hardin (1 shared paper)Roger W. Hoerl (1 shared paper)Duncan Temple Lang (1 shared paper)Mark Daniel Ward (1 shared paper)
- Journals
- Journal of Multivariate Analysis (2 papers)The American Statistician (2 papers)Stochastic Processes and their Applications (1 paper)Biometrika (1 paper)Statistics & Probability Letters (2 papers)
- Partner nations
- United StatesNew Zealand
In The Last Decade
D. Nolan
8 papers receiving 421 citations
Peers
Comparison fields: 5 of 71
- Statistics and Probability 312
- Computer Science Applications 29
- Information Systems and Management 24
- Information Systems 35
- Applied Mathematics 17
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 18 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 | 161 | |
| 2 | 1988 | 108 | |
| 3 | 1999 | 50 | |
| 4 | 1992 | 45 | |
| 5 | 1991 | 38 | |
| 6 | 1995 | 30 | |
| 7 | 1999 | 18 | |
| 8 | 1992 | 6 | |
| 9 | 2005 | 0 |
About D. Nolan
D. Nolan is a scholar working on Statistics and Probability, Applied Mathematics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Nuclear Energy and Engineering, having authored 9 papers that have together received 456 indexed citations. Recurring topics across this work include Probability and Statistical Research (3 papers), Statistical Methods and Inference (3 papers), Statistics Education and Methodologies (2 papers), Advanced Statistical Methods and Models (2 papers), Statistical Methods and Applications (2 papers), Point processes and geometric inequalities (2 papers), Statistical Distribution Estimation and Applications (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Statistics and Probability (312 citations), Computer Science Applications (29 citations), Information Systems and Management (24 citations), Information Systems (35 citations) and Applied Mathematics (17 citations). D. Nolan has collaborated with scholars based in United States and New Zealand. Frequent co-authors include James Stephen Marron, Terence Paul Speed, Nicholas J. Horton, Paul Roback, Johanna Hardin, Roger W. Hoerl, Duncan Temple Lang, Mark Daniel Ward, Benjamin S. Baumer and Paul R. Murrell. Their work appears in journals such as Journal of Multivariate Analysis, The American Statistician, Stochastic Processes and their Applications, Biometrika and Statistics & Probability Letters.
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.