Ian B. MacNeill
- Statistics and Probability top 1%
- Finance top 5%
- Statistics, Probability and Uncertainty top 2%
- Economics and Econometrics top 10%
- Infectious Diseases
- Co-authors
- Venkata K. JandhyalaElena N. NaumovaAlfred DeMariaJeffrey K. GriffithsJyotsna S. JagaiS. FotopoulosGary J. UmphreyYan‐Ping Mao
- Topics
- Advanced Statistical Methods and Models (15 papers)Statistical Methods and Inference (12 papers)Advanced Statistical Process Monitoring (10 papers)
- Partner nations
- CanadaUnited StatesFinland
In The Last Decade
Ian B. MacNeill
49 papers receiving 799 citations
Peers
Comparison fields: 5 of 112
- Statistics and Probability 346
- Finance 167
- Statistics, Probability and Uncertainty 141
- Economics and Econometrics 135
- Infectious Diseases 103
Countries citing papers authored by Ian B. MacNeill
This map shows the geographic impact of Ian B. MacNeill'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 Ian B. MacNeill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian B. MacNeill more than expected).
Fields of papers citing papers by Ian B. MacNeill
This network shows the impact of papers produced by Ian B. MacNeill. 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 Ian B. MacNeill. The network helps show where Ian B. MacNeill may publish in the future.
Co-authorship network of co-authors of Ian B. MacNeill
This figure shows the co-authorship network connecting the top 25 collaborators of Ian B. MacNeill. A scholar is included among the top collaborators of Ian B. MacNeill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian B. MacNeill. Ian B. MacNeill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 204 | |
| 5 | Spatial residual processes and boundary detection : theory and methods | 6 |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | 5 | |
| 13 | Foundations of statistical inference | 15 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 39 | |
| 19 | 11 | |
| 20 | 2 |
About Ian B. MacNeill
Ian B. MacNeill is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 51 papers that have together received 851 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (15 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (10 papers). The work is most often cited by research in Statistics and Probability (346 citations), Statistics, Probability and Uncertainty (141 citations) and Finance (167 citations). Ian B. MacNeill has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Venkata K. Jandhyala, Elena N. Naumova, Alfred DeMaria, Jeffrey K. Griffiths, Jyotsna S. Jagai, S. Fotopoulos, Gary J. Umphrey, Yan‐Ping Mao, Le Xie and Brajendra C. Sutradhar. Their work appears in journals such as Journal of Clinical Epidemiology, Biometrika and Statistics in Medicine.
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.