Marvin N. Wright
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
- Environmental Engineering top 0.5%
- Soil Geostatistics and Mapping
- Soil Moisture and Remote Sensing
Papers in
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- Statistical Methods and Inference 14
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- Explainable Artificial Intelligence (XAI) 11
- Data Analysis with R 2
- Co-authors
- Tomislav Hengl (3 shared papers)G.B.M. Heuvelink (2 shared papers)Inke Regina König (4 shared papers)Stephan Mantel (1 shared paper)Wei Shangguan (1 shared paper)Rodrigo Vargas (1 shared paper)J.G.B. Leenaars (1 shared paper)J.S. Mendes de Jesus (1 shared paper)
In The Last Decade
Marvin N. Wright
46 papers receiving 5.5k citations
Marvin N. Wright's Hit Papers
Peers
Comparison fields: 5 of 182
- Ecological Modeling 309
- Environmental Engineering 1.3k
- Soil Science 638
- Nature and Landscape Conservation 352
- Global and Planetary Change 643
Countries citing papers authored by Marvin N. Wright
This map shows the geographic impact of Marvin N. Wright'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 Marvin N. Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marvin N. Wright more than expected).
Fields of papers citing papers by Marvin N. Wright
This network shows the impact of papers produced by Marvin N. Wright. 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 Marvin N. Wright. The network helps show where Marvin N. Wright may publish in the future.
Co-authors
The 25 scholars most cited alongside Marvin N. Wright, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SoilGrids250m: Global gridded soil information based on machine learning Hit paper breakdown → | 2017 | 3332 |
| 2 | Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables Hit paper breakdown → | 2018 | 747 |
| 3 | The revival of the Gini importance? Hit paper breakdown → | 2018 | 573 |
| 4 | 2016 | 119 | |
| 5 | 2015 | 94 | |
| 6 | 2016 | 94 | |
| 7 | 2023 | 86 | |
| 8 | 2016 | 82 | |
| 9 | 2021 | 51 | |
| 10 | 2019 | 41 | |
| 11 | 2022 | 41 | |
| 12 | 2021 | 35 | |
| 13 | 2023 | 35 | |
| 14 | 2019 | 33 | |
| 15 | 2018 | 25 | |
| 16 | 2024 | 24 | |
| 17 | Training of Neural Networks [R package neuralnet version 1.44.2] | 2019 | 17 |
| 18 | 2016 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2017 | 14 |
About Marvin N. Wright
Marvin N. Wright is a scholar working on Statistics and Probability, Artificial Intelligence, Genetics, Toxicology and Physiology, having authored 50 papers that have together received 5.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Explainable Artificial Intelligence (XAI) (11 papers), Genetic Associations and Epidemiology (6 papers), Physical Activity and Health (4 papers), Gene expression and cancer classification (4 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Soil Geostatistics and Mapping (2 papers) and Data Analysis with R (2 papers). The work is most often cited by research in Ecological Modeling (309 citations), Environmental Engineering (1.3k citations), Soil Science (638 citations), Nature and Landscape Conservation (352 citations) and Global and Planetary Change (643 citations). Marvin N. Wright has collaborated with scholars based in Germany, Denmark and Canada. Frequent co-authors include Tomislav Hengl, G.B.M. Heuvelink, Inke Regina König, Stephan Mantel, Wei Shangguan, Rodrigo Vargas, J.G.B. Leenaars, J.S. Mendes de Jesus, N.H. Batjes and Mário Guevara. Their work appears in journals such as Bioinformatics, Biometrical Journal, PeerJ, BMC Bioinformatics and Scientific Reports.
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.