D. L. McLeish
- Statistics and Probability top 0.5%
- Finance top 1%
- Management Science and Operations Research top 2%
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 5%
- Co-authors
- Christopher G. SmallCarole BernardSamprit ChatterjeeBosco LeungZhenyu CuiJerald F. LawlessG. L. O’BrienH. Arsham
- Topics
- Stochastic processes and financial applications (13 papers)Financial Risk and Volatility Modeling (9 papers)Bayesian Methods and Mixture Models (8 papers)
- Partner nations
- CanadaUnited StatesGhana
In The Last Decade
D. L. McLeish
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 576
- Finance 554
- Management Science and Operations Research 324
- Economics and Econometrics 290
- General Economics, Econometrics and Finance 219
Countries citing papers authored by D. L. McLeish
This map shows the geographic impact of D. L. McLeish'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. L. McLeish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. L. McLeish more than expected).
Fields of papers citing papers by D. L. McLeish
This network shows the impact of papers produced by D. L. McLeish. 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. L. McLeish. The network helps show where D. L. McLeish may publish in the future.
Co-authorship network of co-authors of D. L. McLeish
This figure shows the co-authorship network connecting the top 25 collaborators of D. L. McLeish. A scholar is included among the top collaborators of D. L. McLeish 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 D. L. McLeish. D. L. McLeish 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 44 | |
| 12 | 33 | |
| 13 | 34 | |
| 14 | 3 | |
| 15 | 33 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 76 | |
| 19 | 1 | |
| 20 | 1 |
About D. L. McLeish
D. L. McLeish is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (13 papers), Financial Risk and Volatility Modeling (9 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Statistics and Probability (576 citations), Finance (554 citations) and General Economics, Econometrics and Finance (219 citations). D. L. McLeish has collaborated with scholars based in Canada, United States and Ghana. Frequent co-authors include Christopher G. Small, Carole Bernard, Samprit Chatterjee, Bosco Leung, Zhenyu Cui, Jerald F. Lawless, G. L. O’Brien, H. Arsham, R.Y. Rubinstein and John W. Tukey. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Biometrika.
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.