Matthew Schofield
- Ecological Modeling top 2%
- Species Distribution and Climate Change 3
- Ecology top 5%
- Wildlife Ecology and Conservation 16
- Animal Ecology and Behavior Studies 5
- Avian ecology and behavior 5
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- Fish Ecology and Management Studies 4
- Statistics and Probability top 2%
- Census and Population Estimation 15
- Statistical Methods and Bayesian Inference 4
- Global and Planetary Change top 10%
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- Data-Driven Disease Surveillance 3
- Co-authors
- Richard BarkerJohn R. SauerWilliam A. LinkMurray G. EffordJonathan WrightDavid F. WestneatDarryl I. MacKenzieGeorge A. F. Seber
- Journals
- Biometrics (7 papers)Environmental and Ecological Statistics (3 papers)Journal of Biomechanics (2 papers)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
Matthew Schofield
45 papers receiving 909 citations
Peers
Comparison fields: 5 of 105
- Ecological Modeling 194
- Ecology 606
- Nature and Landscape Conservation 251
- Statistics and Probability 136
- Global and Planetary Change 175
Countries citing papers authored by Matthew Schofield
This map shows the geographic impact of Matthew Schofield'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 Matthew Schofield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Schofield more than expected).
Fields of papers citing papers by Matthew Schofield
This network shows the impact of papers produced by Matthew Schofield. 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 Matthew Schofield. The network helps show where Matthew Schofield may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Schofield, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 33 | |
| 16 | 2018 | 118 | |
| 17 | 2015 | 6 | |
| 18 | 2009 | 64 | |
| 19 | 2008 | 3 | |
| 20 | 2008 | 51 |
About Matthew Schofield
Matthew Schofield is a scholar working on Statistics and Probability, Ecology and Ecological Modeling, having authored 49 papers that have together received 938 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (16 papers), Census and Population Estimation (15 papers), Animal Ecology and Behavior Studies (5 papers), Avian ecology and behavior (5 papers), Fish Ecology and Management Studies (4 papers), Statistical Methods and Bayesian Inference (4 papers), Species Distribution and Climate Change (3 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Ecological Modeling (194 citations), Ecology (606 citations) and Nature and Landscape Conservation (251 citations). Matthew Schofield has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Richard Barker, John R. Sauer, William A. Link, Murray G. Efford, Jonathan Wright, David F. Westneat, Darryl I. MacKenzie, George A. F. Seber, Alain C. Frantz and Andrea E. Byrom. Their work appears in journals such as Biometrics, Environmental and Ecological Statistics, Journal of Biomechanics, The Annals of Applied Statistics and Journal of Agricultural Biological and Environmental Statistics.
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.