Matthew Johnson

8.1k citations
177 papers · 4.8k · h-index 37

Impact in

Papers in

Matthew Johnson

170 papers receiving 4.3k citations

Peers

Matthew Johnson
Comparison fields: 5 of 197
  • Pollution 971
  • Health, Toxicology and Mutagenesis 1.0k
  • Statistics and Probability 451
  • Management Science and Operations Research 534
  • Ecology 852
Replace Vera Pawlowsky‐Glahn with:
Vera Pawlowsky‐Glahn Spain
A. John Bailer United States
R. Woodrow Setzer United States
Michael Gardner United Kingdom
Kun Chen China
Kenneth J. Berry United States
Shyamal D. Peddada United States
Josep Antoni Martín Fernández Spain
G. H. Freeman United Kingdom
Andrew Gelman United States
Matthew Johnson relative to Vera Pawlowsky‐Glahn Spain Vera Pawlowsky‐Glahn's profile →
Citations per field
00.5×7.9×
Vera Pawlowsky‐Glahn · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Matthew Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Johnson Line = papers co-authored together Matthew Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009302
2 2015198
3 2006167
4 1978145
5 1987142
6 2018137
7 2002130
8 1984127
9 1982119
10 1999104
11 199098
12 198796
13 199091
14 197891
15 198787
16 200375
17 198975
18 197869
19 201167
20 199665

About Matthew Johnson

Matthew Johnson is a scholar working on Health, Toxicology and Mutagenesis, Management Science and Operations Research, Ecology, Statistics and Probability and Pollution, having authored 177 papers that have together received 4.8k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (30 papers), Mercury impact and mitigation studies (22 papers), Heavy metals in environment (22 papers), Statistical Methods and Bayesian Inference (15 papers), Advanced Statistical Modeling Techniques (12 papers), Environmental Toxicology and Ecotoxicology (11 papers), Advanced Statistical Methods and Models (10 papers) and Genetic diversity and population structure (9 papers). The work is most often cited by research in Pollution (971 citations), Health, Toxicology and Mutagenesis (1.0k citations), Statistics and Probability (451 citations), Management Science and Operations Research (534 citations) and Ecology (852 citations). Matthew Johnson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include J. A. Cooke, Sandip Sinharay, D. J. Thompson, R. D. Roberts, Robert Black, N. Ainsworth, Hal S. Stern, M. Hutton, Alan L. Mendelsohn and Benard P. Dreyer. Their work appears in journals such as Environmental Pollution, Journal of Educational and Behavioral Statistics, Heredity, Marine Biology and Applied Psychological Measurement.

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.

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