Mark Pratt
Impact in
- Demography top 10%
- Technology Use by Older Adults
Papers in
- Genetics 3
- Genomics and Rare Diseases 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
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- Groundwater and Watershed Analysis 1
- Co-authors
- Lisa D’Ambrosio (1 shared paper)Joseph F. Coughlin (1 shared paper)Bryan Reimer (1 shared paper)Tom Jefferson (2 shared papers)Richard Smith (1 shared paper)Gábor Bartha (2 shared papers)Hemang Parikh (1 shared paper)Desu Chen (1 shared paper)
- Journals
- Molecular Biology and Evolution (1 paper)The Science of The Total Environment (1 paper)Cochrane Database of Systematic Reviews (1 paper)BMC Genomics (1 paper)JAMA (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Mark Pratt
7 papers receiving 235 citations
Peers
Comparison fields: 5 of 73
- Demography 57
- Neuropsychology and Physiological Psychology 4
- Occupational Therapy 9
- Human-Computer Interaction 10
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Mark Pratt
This map shows the geographic impact of Mark Pratt'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 Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Pratt more than expected).
Fields of papers citing papers by Mark Pratt
This network shows the impact of papers produced by Mark Pratt. 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 Pratt. The network helps show where Mark Pratt may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Pratt, 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 | 2007 | 115 | |
| 2 | 1998 | 60 | |
| 3 | 2016 | 60 | |
| 4 | 1998 | 9 | |
| 5 | 1997 | 5 | |
| 6 | 2025 | 3 | |
| 7 | Bundaberg Irrigation Area Groundwater Investigation Project, Bundaberg, Australia | 1999 | 1 |
| 8 | 2013 | 1 |
About Mark Pratt
Mark Pratt is a scholar working on Genetics, Environmental Engineering, Molecular Biology, General Health Professions and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 254 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Technology Use by Older Adults (1 paper), Context-Aware Activity Recognition Systems (1 paper), Groundwater and Watershed Analysis (1 paper), Mobile Health and mHealth Applications (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Demography (57 citations), Neuropsychology and Physiological Psychology (4 citations), Occupational Therapy (9 citations), Human-Computer Interaction (10 citations) and Computer Vision and Pattern Recognition (36 citations). Mark Pratt has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Lisa D’Ambrosio, Joseph F. Coughlin, Bryan Reimer, Tom Jefferson, Richard Smith, Gábor Bartha, Hemang Parikh, Desu Chen, Wolfgang Losert and Hugo Y. K. Lam. Their work appears in journals such as Molecular Biology and Evolution, The Science of The Total Environment, Cochrane Database of Systematic Reviews, BMC Genomics and JAMA.
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.