Matthew Schofield

1.5k total citations
49 papers, 938 citations indexed

About

Matthew Schofield is a scholar working on Ecology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Matthew Schofield has authored 49 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 18 papers in Statistics and Probability and 7 papers in Artificial Intelligence. Recurrent topics in Matthew Schofield's work include Wildlife Ecology and Conservation (16 papers), Census and Population Estimation (15 papers) and Animal Ecology and Behavior Studies (5 papers). Matthew Schofield is often cited by papers focused on Wildlife Ecology and Conservation (16 papers), Census and Population Estimation (15 papers) and Animal Ecology and Behavior Studies (5 papers). Matthew Schofield collaborates with scholars based in New Zealand, United States and Australia. Matthew Schofield's co-authors include Richard Barker, John R. Sauer, William A. Link, Murray G. Efford, David F. Westneat, Jonathan Wright, Darryl I. MacKenzie, George A. F. Seber, Alain C. Frantz and Andrea E. Byrom and has published in prestigious journals such as Journal of the American Statistical Association, Ecology and Genetics.

In The Last Decade

Matthew Schofield

45 papers receiving 909 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Schofield New Zealand 15 606 251 194 175 136 49 938
Ephraim M. Hanks United States 20 491 0.8× 209 0.8× 210 1.1× 145 0.8× 61 0.4× 46 1.1k
Franck Jabot France 20 350 0.6× 495 2.0× 198 1.0× 165 0.9× 82 0.6× 44 1.1k
William Fithian United States 10 419 0.7× 289 1.2× 439 2.3× 90 0.5× 126 0.9× 21 846
Kathryn M. Irvine United States 22 749 1.2× 357 1.4× 350 1.8× 258 1.5× 34 0.3× 68 1.2k
Trevor J. Hefley United States 20 551 0.9× 293 1.2× 406 2.1× 216 1.2× 32 0.2× 71 1.3k
Krishna Pacifici United States 17 837 1.4× 425 1.7× 546 2.8× 194 1.1× 29 0.2× 69 1.4k
David C. Bowden United States 22 936 1.5× 298 1.2× 114 0.6× 144 0.8× 243 1.8× 52 1.4k
Vianey Leos‐Barajas United States 12 373 0.6× 272 1.1× 79 0.4× 189 1.1× 25 0.2× 24 683
Sarah P. Saunders United States 19 646 1.1× 328 1.3× 414 2.1× 231 1.3× 25 0.2× 42 982
D. L. Otis United States 7 894 1.5× 406 1.6× 118 0.6× 164 0.9× 164 1.2× 14 1.1k

Countries citing papers authored by Matthew Schofield

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Matthew Schofield

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Schofield. A scholar is included among the top collaborators of Matthew Schofield 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 Matthew Schofield. Matthew Schofield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Currie, Kim, Matthew Schofield, Robert O. Smith, et al.. (2025). Changing species occurrences in seasonal seabird assemblages at the Subtropical Frontal Zone. Estuarine Coastal and Shelf Science. 323. 109405–109405.
2.
Brightwell, Gale, et al.. (2025). Hierarchical Bayesian linear mixed model to estimate variability in the thermal inactivation parameters for Listeria species. Food Microbiology. 128. 104731–104731. 1 indexed citations
3.
Woehler, Eric J., et al.. (2024). Seabird assemblages are linked to the major western boundary current off eastern Australia. Progress In Oceanography. 223. 103215–103215. 2 indexed citations
4.
Schofield, Matthew, et al.. (2023). Estimating Population Size: The Importance of Model and Estimator Choice. Biometrics. 79(4). 3803–3817.
5.
Davies, Tilman M., et al.. (2023). New tools for the investigation of muscle fiber-type spatial distributions across histological sections. Skeletal Muscle. 13(1). 7–7. 1 indexed citations
6.
Efford, Murray G. & Matthew Schofield. (2022). A review of movement models in open population capture–recapture. Methods in Ecology and Evolution. 13(10). 2106–2118. 9 indexed citations
7.
8.
Schofield, Matthew, Michael J. Maze, John A. Crump, et al.. (2021). On the robustness of latent class models for diagnostic testing with no gold standard. Statistics in Medicine. 40(22). 4751–4763. 9 indexed citations
9.
Schofield, Matthew, et al.. (2021). Convolutional Neural Network for Malware Classification Based on API Call Sequence. 85–98. 16 indexed citations
10.
Schofield, Matthew, et al.. (2021). Comparison of Malware Classification Methods using Convolutional Neural Network based on API Call Stream. International Journal of Network Security & Its Applications. 13(2). 1–19. 2 indexed citations
11.
Cordovil, Rita, et al.. (2020). The effect of specific locomotor experiences on infants’ avoidance behaviour on real and water cliffs. Developmental Science. 24(3). e13047–e13047. 9 indexed citations
12.
Schofield, Matthew, et al.. (2019). Detecting (Unusual) Events in Urban Areas using Bike-Sharing Data. 1–7. 3 indexed citations
13.
Schneider, M, Sandy Slow, Ben Brockway, et al.. (2019). Mucosal-associated invariant T cells and Vδ2+ γδ T cells in community acquired pneumonia: association of abundance in sputum with clinical severity and outcome. Clinical & Experimental Immunology. 199(2). 201–215. 11 indexed citations
14.
Ho, Shen-Shyang, et al.. (2019). A Martingale-Based Approach for Flight Behavior Anomaly Detection. 5 indexed citations
15.
Efford, Murray G. & Matthew Schofield. (2019). A spatial open‐population capture‐recapture model. Biometrics. 76(2). 392–402. 35 indexed citations
16.
Bilton, Timothy P., Matthew Schofield, Michael A. Black, et al.. (2018). Accounting for Errors in Low Coverage High-Throughput Sequencing Data When Constructing Genetic Maps Using Biparental Outcrossed Populations. Genetics. 209(1). 65–76. 33 indexed citations
17.
Link, William A., Matthew Schofield, Richard Barker, & John R. Sauer. (2018). On the robustness of N‐mixture models. Ecology. 99(7). 1547–1551. 118 indexed citations
18.
Schofield, Matthew, et al.. (2017). Continuous-time Capture–Recapture in Closed Populations. Biometrics. 74(2). 626–635. 15 indexed citations
19.
Barker, Richard & Matthew Schofield. (2008). Classifying individuals as physiological responders using hierarchical modeling. Journal of Applied Physiology. 105(2). 555–560. 3 indexed citations
20.
Conroy, Michael J., Jonathan P. Runge, Richard Barker, Matthew Schofield, & Christopher Fonnesbeck. (2008). EFFICIENT ESTIMATION OF ABUNDANCE FOR PATCHILY DISTRIBUTED POPULATIONS VIA TWO‐PHASE, ADAPTIVE SAMPLING. Ecology. 89(12). 3362–3370. 51 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ephraim M. Hanks Breakdown of academic impact, for papers by Franck Jabot Breakdown of academic impact, for papers by William Fithian Breakdown of academic impact, for papers by Kathryn M. Irvine Breakdown of academic impact, for papers by Trevor J. Hefley Breakdown of academic impact, for papers by Krishna Pacifici Breakdown of academic impact, for papers by David C. Bowden Breakdown of academic impact, for papers by Vianey Leos‐Barajas Breakdown of academic impact, for papers by Sarah P. Saunders Breakdown of academic impact, for papers by D. L. Otis
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