Matthew T. Moore

4.0k total citations
115 papers, 3.0k citations indexed

About

Matthew T. Moore is a scholar working on Environmental Chemistry, Pollution and Industrial and Manufacturing Engineering. According to data from OpenAlex, Matthew T. Moore has authored 115 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Environmental Chemistry, 54 papers in Pollution and 29 papers in Industrial and Manufacturing Engineering. Recurrent topics in Matthew T. Moore's work include Soil and Water Nutrient Dynamics (51 papers), Pesticide and Herbicide Environmental Studies (38 papers) and Pharmaceutical and Antibiotic Environmental Impacts (28 papers). Matthew T. Moore is often cited by papers focused on Soil and Water Nutrient Dynamics (51 papers), Pesticide and Herbicide Environmental Studies (38 papers) and Pharmaceutical and Antibiotic Environmental Impacts (28 papers). Matthew T. Moore collaborates with scholars based in United States, Canada and Germany. Matthew T. Moore's co-authors include C. M. Cooper, R. Kröger, S. Smith, Jerry L. Farris, Martin A. Locke, Erin R. Bennett, J.H. Rodgers, Marjorie M. Holland, Ralf Schulz and Jennifer L. Bouldin and has published in prestigious journals such as The Science of The Total Environment, Neurology and Environmental Pollution.

In The Last Decade

Matthew T. Moore

106 papers receiving 2.8k 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 T. Moore United States 32 1.3k 1.2k 906 624 567 115 3.0k
Guihua Liu China 25 893 0.7× 483 0.4× 440 0.5× 328 0.5× 315 0.6× 59 2.4k
Changxing Lan China 30 1.4k 1.0× 517 0.4× 267 0.3× 536 0.9× 362 0.6× 60 3.1k
Julien Tournebize France 27 774 0.6× 583 0.5× 666 0.7× 217 0.3× 455 0.8× 90 2.1k
Baixing Yan China 36 1.4k 1.0× 463 0.4× 1.5k 1.7× 270 0.4× 479 0.8× 146 3.7k
Qingqing Zhao China 32 1.2k 0.9× 407 0.3× 283 0.3× 488 0.8× 366 0.6× 46 3.1k
S. Smith United States 21 1.2k 0.9× 529 0.4× 321 0.4× 510 0.8× 248 0.4× 57 2.0k
Bernard Montuelle France 39 1.3k 1.0× 990 0.8× 201 0.2× 1.0k 1.6× 361 0.6× 87 3.1k
Xueping Chen China 29 1.2k 0.9× 653 0.5× 201 0.2× 440 0.7× 187 0.3× 145 2.9k
Marinus L. Otte United States 26 1.0k 0.8× 653 0.5× 558 0.6× 238 0.4× 175 0.3× 76 2.5k
Yanling Zheng China 35 2.3k 1.7× 999 0.8× 539 0.6× 409 0.7× 210 0.4× 98 4.1k

Countries citing papers authored by Matthew T. Moore

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Moore'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 T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Moore more than expected).

Fields of papers citing papers by Matthew T. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew T. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Moore. A scholar is included among the top collaborators of Matthew T. Moore 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 T. Moore. Matthew T. Moore 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.
Locke, Martin A., Krishna N. Reddy, Matthew T. Moore, et al.. (2025). Soil–plant–water relations and water footprint of cover crop–based no‐till cotton and sorghum systems in a humid region. Soil Science Society of America Journal. 89(6).
2.
Lizotte, Richard E., et al.. (2025). Effects of flood conditions on lake water quality in an agricultural watershed with multiple conservation practices. Agrosystems Geosciences & Environment. 8(1).
3.
4.
Locke, Martin A., et al.. (2024). Improving soil water storage with no‐till cover cropping in the Mississippi River Alluvial Basin. Soil Science Society of America Journal. 88(2). 540–556. 5 indexed citations
5.
6.
Lizotte, Richard E., et al.. (2024). Sediment pesticide contamination and toxicity in an agricultural tailwater recovery system. Chemistry and Ecology. 40(6). 627–642.
7.
Chatterjee, Amitava, et al.. (2024). Phosphorus distributions in alluvial soils of the Lower Mississippi River Basin: A case of dual legacies. Journal of Environmental Quality. 54(4). 870–881. 2 indexed citations
8.
Locke, Martin A., Richard E. Lizotte, Matthew T. Moore, et al.. (2024). The LTAR Cropland Common Experiment in the Lower Mississippi River Basin. Journal of Environmental Quality. 53(6). 957–967. 1 indexed citations
9.
Payne, Geoffrey, et al.. (2024). Evaluation of woodchip‐bioditch reactors as a nutrient reduction conservation strategy. Agrosystems Geosciences & Environment. 7(1).
10.
Moore, Matthew T., et al.. (2022). Pesticide trends in a tailwater recovery system in the Mississippi Delta. Agrosystems Geosciences & Environment. 5(4). 3 indexed citations
11.
Pérez, Débora Jesabel, William J. Doucette, & Matthew T. Moore. (2021). Atrazine uptake, translocation, bioaccumulation and biodegradation in cattail (Typha latifolia) as a function of exposure time. Chemosphere. 287(Pt 1). 132104–132104. 39 indexed citations
12.
Locke, Martin A., et al.. (2020). Estimation of Cotton and Sorghum Crop Density and Cover at Early Vegetative Stages Using Unmanned Aerial Vehicle Imagery. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
13.
Taylor, Jason M., et al.. (2020). Recognizing both denitrification and nitrogen consumption improves performance of stream diel N 2 flux models. Limnology and Oceanography Methods. 18(5). 169–182. 5 indexed citations
14.
Winkelman, N. W. & Matthew T. Moore. (2019). Meningeal Blood Vessels in Tuberculous Meningitis12. American Review of Tuberculosis.
15.
Moore, Matthew T. & Martin A. Locke. (2017). Can Rice (Oryza sativa) Mitigate Pesticides and Nutrients in Agricultural Runoff?. Bulletin of Environmental Contamination and Toxicology. 100(1). 162–166. 1 indexed citations
16.
Moore, Matthew T., et al.. (2011). Effects of Fluidized Gas Desulfurization (FGD) Gypsum on Non-Target Freshwater and Sediment Dwelling Organisms. Bulletin of Environmental Contamination and Toxicology. 86(5). 480–483. 4 indexed citations
17.
Moore, Matthew T., Richard E. Lizotte, & S. Smith. (2007). Toxicity Evaluation of Diazinon Contaminated Leaf Litter. Bulletin of Environmental Contamination and Toxicology. 78(2). 168–171. 6 indexed citations
18.
Bouldin, Jennifer L., et al.. (2005). Evaluated fate and effects of atrazine and lambda‐cyhalothrin in vegetated and unvegetated microcosms. Environmental Toxicology. 20(5). 487–498. 35 indexed citations
19.
Milam, C. D., Jennifer L. Bouldin, Jerry L. Farris, et al.. (2004). Evaluating acute toxicity of methyl parathion application in constructed wetland mesocosms. Environmental Toxicology. 19(5). 471–479. 24 indexed citations
20.
Cooper, Charles M., S. J. Smith, & Matthew T. Moore. (2003). Surface Water, Ground Water and Sediment Quality in Three Oxbow Lake Watersheds in the Mississippi Delta Agricultural Region: Pesticides. International Journal of Ecology and Environmental Sciences. 39 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.

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