Iain L. MacDonald
- Artificial Intelligence top 5%
- Statistics and Probability top 1%
- Ecology top 5%
- Finance top 5%
- Economics and Econometrics top 5%
- Co-authors
- Walter ZucchiniRoland LangrockShane P. PedersonSimon FolkardPhilip TuckerDavid RaubenheimerLeonard LererMelvin Varughese
- Topics
- Bayesian Methods and Mixture Models (5 papers)Statistical Methods and Bayesian Inference (4 papers)Statistical Distribution Estimation and Applications (4 papers)
- Journals
- The LancetTechnometricsBiometrics
- Partner nations
- South AfricaGermanyUnited Kingdom
In The Last Decade
Iain L. MacDonald
26 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 441
- Statistics and Probability 345
- Ecology 282
- Finance 225
- Economics and Econometrics 159
Countries citing papers authored by Iain L. MacDonald
This map shows the geographic impact of Iain L. MacDonald'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 Iain L. MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iain L. MacDonald more than expected).
Fields of papers citing papers by Iain L. MacDonald
This network shows the impact of papers produced by Iain L. MacDonald. 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 Iain L. MacDonald. The network helps show where Iain L. MacDonald may publish in the future.
Co-authorship network of co-authors of Iain L. MacDonald
This figure shows the co-authorship network connecting the top 25 collaborators of Iain L. MacDonald. A scholar is included among the top collaborators of Iain L. MacDonald 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 Iain L. MacDonald. Iain L. MacDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 248 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Comments : EM-based likelihood inference for some lifetime distributions based on left truncated and right censored data and associated model discrimination | 1 |
| 12 | 25 | |
| 13 | Nonlinear serial dependence in share returns on the Johannesburg Stock Exchange | 2 |
| 14 | Hidden Markov Models for Time Series: An Introduction Using Rbreakdown → | 474 |
| 15 | 316 | |
| 16 | 41 | |
| 17 | 128 | |
| 18 | 2 | |
| 19 | 291 | |
| 20 | 11 |
About Iain L. MacDonald
Iain L. MacDonald is a scholar working on Statistics and Probability, Developmental Biology and Finance, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (345 citations), Finance (225 citations) and Developmental Biology (46 citations). Iain L. MacDonald has collaborated with scholars based in South Africa, Germany and United Kingdom. Frequent co-authors include Walter Zucchini, Roland Langrock, Shane P. Pederson, Simon Folkard, Philip Tucker, David Raubenheimer, Leonard Lerer, Melvin Varughese, David H. Cohen and Robert Kozak. Their work appears in journals such as The Lancet, Technometrics and Biometrics.
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.