Jay F. Martin

4.1k total citations
98 papers, 3.1k citations indexed

About

Jay F. Martin is a scholar working on Environmental Chemistry, Water Science and Technology and Ecology. According to data from OpenAlex, Jay F. Martin has authored 98 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Environmental Chemistry, 31 papers in Water Science and Technology and 30 papers in Ecology. Recurrent topics in Jay F. Martin's work include Soil and Water Nutrient Dynamics (26 papers), Hydrology and Watershed Management Studies (19 papers) and Constructed Wetlands for Wastewater Treatment (14 papers). Jay F. Martin is often cited by papers focused on Soil and Water Nutrient Dynamics (26 papers), Hydrology and Watershed Management Studies (19 papers) and Constructed Wetlands for Wastewater Treatment (14 papers). Jay F. Martin collaborates with scholars based in United States, Mexico and Germany. Jay F. Martin's co-authors include Stephanie Lansing, Stewart A.W. Diemont, R. Botero, K. R. Reddy, John W. Day, Samuel I. Levy‐Tacher, Larry C. Brown, Stuart A. Ludsin, Jiyoung Lee and Noel Aloysius and has published in prestigious journals such as Ecology, The Science of The Total Environment and Water Research.

In The Last Decade

Jay F. Martin

92 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay F. Martin United States 35 907 816 800 678 550 98 3.1k
Lawrence A. Baker United States 31 567 0.6× 1.1k 1.3× 878 1.1× 751 1.1× 973 1.8× 82 3.5k
J.P. Lesschen Netherlands 34 1.9k 2.1× 969 1.2× 565 0.7× 785 1.2× 709 1.3× 96 4.9k
Nicholas John Hutchings Denmark 31 1.1k 1.2× 1.1k 1.4× 231 0.3× 340 0.5× 394 0.7× 99 3.5k
Timothy D. Searchinger United States 26 1.0k 1.1× 635 0.8× 369 0.5× 956 1.4× 307 0.6× 41 5.5k
Jie Chang China 36 1.4k 1.6× 762 0.9× 433 0.5× 779 1.1× 1.4k 2.6× 123 4.8k
Yue Li China 40 1.4k 1.5× 388 0.5× 529 0.7× 599 0.9× 354 0.6× 192 5.2k
Wei Qin China 31 564 0.6× 740 0.9× 361 0.5× 385 0.6× 600 1.1× 75 3.4k
Wenqi Ma China 32 969 1.1× 957 1.2× 380 0.5× 553 0.8× 775 1.4× 91 3.6k
Rogier P.O. Schulte Ireland 33 963 1.1× 968 1.2× 344 0.4× 408 0.6× 223 0.4× 130 3.6k
Mark S. Johnson Canada 37 947 1.0× 620 0.8× 1.1k 1.3× 588 0.9× 215 0.4× 138 4.1k

Countries citing papers authored by Jay F. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Jay F. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay F. Martin. 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 Jay F. Martin. The network helps show where Jay F. Martin may publish in the future.

Co-authorship network of co-authors of Jay F. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Jay F. Martin. A scholar is included among the top collaborators of Jay F. Martin 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 Jay F. Martin. Jay F. Martin 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.
Murumkar, Asmita, Jay F. Martin, Margaret Kalcic, et al.. (2025). Advancing SWAT modeling with rainfall risk-based fertilizer timing to improve nutrient management and crop yields. Agricultural Water Management. 316. 109555–109555. 2 indexed citations
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Brooker, Michael R., Margaret Kalcic, Kevin W. King, et al.. (2024). Quantifying phosphorus loads from legacy-phosphorus fields. Journal of Great Lakes Research. 50(6). 102446–102446.
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Hu, Tongxi, Xuesong Zhang, Gil Bohrer, et al.. (2023). Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield. Agricultural and Forest Meteorology. 336. 109458–109458. 53 indexed citations
7.
Kalcic, Margaret, Jay F. Martin, Asmita Murumkar, et al.. (2022). Using a Multi‐Institutional Ensemble of Watershed Models to Assess Agricultural Conservation Effectiveness in a Future Climate. JAWRA Journal of the American Water Resources Association. 58(6). 1326–1340. 5 indexed citations
8.
Martin, Jay F., Margaret Kalcic, Noel Aloysius, et al.. (2020). Evaluating management options to reduce Lake Erie algal blooms using an ensemble of watershed models. Journal of Environmental Management. 280. 111710–111710. 40 indexed citations
9.
Aloysius, Noel, Haw Yen, Jeffrey G. Arnold, et al.. (2020). Forecasting the combined effects of anticipated climate change and agricultural conservation practices on fish recruitment dynamics in Lake Erie. Freshwater Biology. 65(9). 1487–1508. 16 indexed citations
10.
Kalcic, Margaret, Grey R. Evenson, Kevin W. King, et al.. (2020). Simulating internal watershed processes using multiple SWAT models. The Science of The Total Environment. 759. 143920–143920. 28 indexed citations
11.
Lee, Seungjun, et al.. (2020). Residential urban stormwater runoff: A comprehensive profile of microbiome and antibiotic resistance. The Science of The Total Environment. 723. 138033–138033. 71 indexed citations
12.
Fraker, Michael E., James S. Sinclair, Noel Aloysius, et al.. (2020). Projecting the effects of agricultural conservation practices on stream fish communities in a changing climate. The Science of The Total Environment. 747. 141112–141112. 17 indexed citations
13.
Rosenblum, James, Jiyoung Lee, Jay F. Martin, & Michael Bisesi. (2018). Correlation Between Levels of Humic Acid and Fecal Indicator Bacteria: A Potential Predictor of Biosolids Stabilization. Environmental Engineering Science. 35(7). 663–672. 1 indexed citations
14.
Martin, Jay F., et al.. (2016). Anticipated impacts of climate change on 21st century Maumee River discharge and nutrient loads. Journal of Great Lakes Research. 42(6). 1332–1342. 51 indexed citations
15.
Boettcher, P., Jay F. Martin, G. Gandini, B. K. Joshi, & J.K. Oldenbroek. (2013). In vivo conservation of animal genetic resources. Socio-Environmental Systems Modeling. 14. 68 indexed citations
16.
Lansing, Stephanie, et al.. (2010). Methane production in low-cost, unheated, plug-flow digesters treating swine manure and used cooking grease. Bioresource Technology. 101(12). 4362–4370. 103 indexed citations
17.
Lansing, Stephanie, R. Botero, & Jay F. Martin. (2007). Waste treatment and biogas quality in small-scale agricultural digesters. Bioresource Technology. 99(13). 5881–5890. 104 indexed citations
18.
Martin, Jay F. & K. R. Reddy. (1997). Interaction and spatial distribution of wetland nitrogen processes. Ecological Modelling. 105(1). 1–21. 119 indexed citations
19.
Martin, Jay F., et al.. (1982). Use of aquatic vegetation to improve sediment pond efficiency. 1 indexed citations
20.
Martin, Jay F., et al.. (1980). Water quality from regraded coal mine sites. 1 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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