Matthew Johnson

8.0k total citations
169 papers, 4.3k citations indexed

About

Matthew Johnson is a scholar working on Health, Toxicology and Mutagenesis, Ecology and Management Science and Operations Research. According to data from OpenAlex, Matthew Johnson has authored 169 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Health, Toxicology and Mutagenesis, 29 papers in Ecology and 29 papers in Management Science and Operations Research. Recurrent topics in Matthew Johnson's work include Psychometric Methodologies and Testing (27 papers), Mercury impact and mitigation studies (22 papers) and Heavy metals in environment (22 papers). Matthew Johnson is often cited by papers focused on Psychometric Methodologies and Testing (27 papers), Mercury impact and mitigation studies (22 papers) and Heavy metals in environment (22 papers). Matthew Johnson collaborates with scholars based in United States, United Kingdom and Australia. Matthew Johnson's co-authors include J. A. Cooke, Sandip Sinharay, D. J. Thompson, Robert Black, R. D. Roberts, N. Ainsworth, Hal S. Stern, M. Hutton, Alan L. Mendelsohn and Benard P. Dreyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Matthew Johnson

161 papers receiving 3.9k 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 Johnson United States 35 976 884 823 464 389 169 4.3k
A. John Bailer United States 31 1.1k 1.2× 374 0.4× 188 0.2× 269 0.6× 476 1.2× 166 3.6k
Michael Gardner United Kingdom 34 698 0.7× 887 1.0× 139 0.2× 49 0.1× 264 0.7× 136 6.2k
Nathaniel Schenker United States 26 354 0.4× 82 0.1× 376 0.5× 211 0.5× 1.4k 3.5× 65 6.7k
Kenneth J. Berry United States 26 207 0.2× 174 0.2× 522 0.6× 255 0.5× 657 1.7× 176 3.4k
Sue Evans Australia 50 377 0.4× 254 0.3× 577 0.7× 89 0.2× 62 0.2× 362 9.3k
Thomas Lumley New Zealand 39 1.5k 1.6× 222 0.3× 113 0.1× 143 0.3× 1.2k 3.0× 163 8.9k
Daniel Wartenberg United States 34 772 0.8× 175 0.2× 295 0.4× 37 0.1× 101 0.3× 108 3.8k
Oliver Schabenberger United States 24 91 0.1× 183 0.2× 898 1.1× 206 0.4× 421 1.1× 40 7.1k
Andrew Gelman United States 5 296 0.3× 216 0.2× 461 0.6× 61 0.1× 348 0.9× 8 2.2k
Vera Pawlowsky‐Glahn Spain 34 144 0.1× 675 0.8× 804 1.0× 103 0.2× 279 0.7× 114 6.7k

Countries citing papers authored by Matthew Johnson

Since Specialization
Citations

This map shows the geographic impact of Matthew Johnson'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 Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Johnson more than expected).

Fields of papers citing papers by Matthew Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Johnson. 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 Johnson. The network helps show where Matthew Johnson may publish in the future.

Co-authorship network of co-authors of Matthew Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Johnson. A scholar is included among the top collaborators of Matthew Johnson 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 Johnson. Matthew Johnson 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.
Lockwood, J. R., et al.. (2025). Irt-latent regression with many predictors: limits and solutions. Large-scale Assessments in Education. 13(1). 1 indexed citations
2.
Johnson, Matthew, et al.. (2025). Complexity Framework for Forbidden Subgraphs I: The Framework. Algorithmica. 87(3). 429–464.
3.
Guo, Hongwen, et al.. (2024). Large-Scale Assessments for Learning: A Human-Centred AI Approach to Contextualizing Test Performance. Journal of Learning Analytics. 11(2). 229–245. 3 indexed citations
4.
Johnson, Matthew, et al.. (2024). Investigating Sampling Impacts on an LLM-Based AI Scoring Approach: Prediction Accuracy and Fairness. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi.
5.
6.
Charalel, Resmi A., Alvin I. Mushlin, Xinyan Zheng, et al.. (2023). Predictors for Early Liver Cancer Survival After Ablation and Surgical Resection: A Surveillance, Epidemiology, and End Results Program-Medicare Study. Journal of the American College of Radiology. 21(2). 295–308. 2 indexed citations
7.
McDonnell, Marie E., Rajesh Garg, Geetha Gopalakrishnan, et al.. (2022). Glycemic Gap Predicts Mortality in a Large Multicenter Cohort Hospitalized With COVID-19. The Journal of Clinical Endocrinology & Metabolism. 108(3). 718–725. 5 indexed citations
8.
Weinstein, Erica J, Marc S. Cohen, Doerthe A. Andreae, et al.. (2019). Local anesthetics and regional anesthesia versus conventional analgesia for preventing persistent postoperative pain in adults and children: A Cochrane systematic review and meta-analysis update. Journal of Clinical Anesthesia. 55. 116–127. 62 indexed citations
9.
Carter, George M., et al.. (2015). Micronutrients in HIV: A Bayesian Meta-Analysis. PLoS ONE. 10(4). e0120113–e0120113. 13 indexed citations
10.
Johnson, Matthew, et al.. (2013). Journey to the Top: Are There Really Gender Differences in the Selection and Utilization of Career Tactics?. Journal of organizational culture, communication and conflict. 17(1). 51. 11 indexed citations
11.
Couto, Eduardo Guimarães, et al.. (2012). Soil Redox Dynamics Vary with Landscape Position and Hydroperiod in the Pantanal Wetland Ecosystem. AGUFM. 2012. 1 indexed citations
12.
Johnson, Matthew, Michael S. Lee, Brian R. Younge, & Valerie A. Purvin. (2010). Multiple Sclerosis on Steroids. Survey of Ophthalmology. 55(5). 460–466. 1 indexed citations
13.
Kennington, W. Jason, et al.. (2008). Characterization of microsatellite loci for the littorine snail Bembicium vittatum. Molecular Ecology Resources. 8(6). 1463–1465. 3 indexed citations
14.
Sinharay, Sandip & Matthew Johnson. (2005). Analysis of Data from an Admissions Test with Item Models. Research Report. ETS RR-05-06.. ETS Research Report Series. 7 indexed citations
15.
Altün, Yasemin, et al.. (2003). Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences. MPG.PuRe (Max Planck Society). 145–152. 8 indexed citations
16.
17.
Johnson, Matthew, et al.. (1998). Evaluation of blood and tissue lead as estimators of exposure in sheep. Irish Journal of Agricultural and Food Research. 37(1). 17–28. 9 indexed citations
18.
Coakley, Fergus V., et al.. (1998). Maximum intensity projection images in the detection of simulated pulmonary nodules by spiral CT.. British Journal of Radiology. 71(842). 135–140. 47 indexed citations
19.
Clarke, Bryan, Matthew Johnson, & James D. Murray. (1996). Clines in the genetic distance between two species of island land snails: how ‘molecular leakage’ can mislead us about speciation. Philosophical Transactions of the Royal Society B Biological Sciences. 351(1341). 773–784. 49 indexed citations
20.
Johnson, Matthew, James D. Murray, & Bryan Clarke. (1986). An electrophoretic analysis of phylogeny and evolutionary rates in the genus Partula from the Society Islands. Proceedings of the Royal Society of London. Series B, Biological sciences. 227(1247). 161–177. 31 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 A. John Bailer Breakdown of academic impact, for papers by Michael Gardner Breakdown of academic impact, for papers by Nathaniel Schenker Breakdown of academic impact, for papers by Kenneth J. Berry Breakdown of academic impact, for papers by Sue Evans Breakdown of academic impact, for papers by Thomas Lumley Breakdown of academic impact, for papers by Daniel Wartenberg Breakdown of academic impact, for papers by Oliver Schabenberger Breakdown of academic impact, for papers by Andrew Gelman Breakdown of academic impact, for papers by Vera Pawlowsky‐Glahn
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