Mark Greenwood
- Pathology and Forensic Medicine top 5%
- Statistics and Probability top 1%
- Ecology top 5%
- Molecular Biology
- Atmospheric Science top 10%
- Co-authors
- Bibiana BielekovaChristine M. ForemanMarkus DieserKory JohnsonAnn Marie WeidemanJohnnie N. MooreJ. T. HarperRick L. Lawrence
- Topics
- Multiple Sclerosis Research Studies (8 papers)Polar Research and Ecology (6 papers)Wildlife-Road Interactions and Conservation (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Mark Greenwood
52 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Pathology and Forensic Medicine 397
- Statistics and Probability 355
- Ecology 336
- Molecular Biology 293
- Atmospheric Science 200
Countries citing papers authored by Mark Greenwood
This map shows the geographic impact of Mark Greenwood'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 Mark Greenwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Greenwood more than expected).
Fields of papers citing papers by Mark Greenwood
This network shows the impact of papers produced by Mark Greenwood. 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 Mark Greenwood. The network helps show where Mark Greenwood may publish in the future.
Co-authorship network of co-authors of Mark Greenwood
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Greenwood. A scholar is included among the top collaborators of Mark Greenwood 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 Mark Greenwood. Mark Greenwood 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 | 6 | |
| 3 | 13 | |
| 4 | 0 | |
| 5 | 38 | |
| 6 | 1 | |
| 7 | 88 | |
| 8 | 201 | |
| 9 | 31 | |
| 10 | 4 | |
| 11 | Statistical methods for detecting groups of patterns in daily step count activity profiles | 1 |
| 12 | 39 | |
| 13 | Simpson's Paradox and Causality | 2 |
| 14 | 23 | |
| 15 | 44 | |
| 16 | 27 | |
| 17 | 145 | |
| 18 | 14 | |
| 19 | 47 | |
| 20 | 16 |
About Mark Greenwood
Mark Greenwood is a scholar working on Ecology, General Decision Sciences and Pathology and Forensic Medicine, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Polar Research and Ecology (6 papers) and Wildlife-Road Interactions and Conservation (3 papers). The work is most often cited by research in Statistics and Probability (355 citations), Pathology and Forensic Medicine (397 citations) and Ecology (336 citations). Mark Greenwood has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Bibiana Bielekova, Christine M. Foreman, Markus Dieser, Kory Johnson, Ann Marie Weideman, Johnnie N. Moore, J. T. Harper, Rick L. Lawrence, Lucy Marshall and Péter Kósa. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.