Natalie G. Nelson

1.5k total citations · 1 hit paper
54 papers, 1.0k citations indexed

About

Natalie G. Nelson is a scholar working on Environmental Chemistry, Water Science and Technology and Ecology. According to data from OpenAlex, Natalie G. Nelson has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Chemistry, 14 papers in Water Science and Technology and 12 papers in Ecology. Recurrent topics in Natalie G. Nelson's work include Soil and Water Nutrient Dynamics (10 papers), Marine and coastal ecosystems (10 papers) and Hydrology and Watershed Management Studies (8 papers). Natalie G. Nelson is often cited by papers focused on Soil and Water Nutrient Dynamics (10 papers), Marine and coastal ecosystems (10 papers) and Hydrology and Watershed Management Studies (8 papers). Natalie G. Nelson collaborates with scholars based in United States, Belgium and Denmark. Natalie G. Nelson's co-authors include Timothy Kuhn, Edward J. Phli̇ps, Susan Badylak, Rafael Muñoz‐Carpena, Karl E. Havens, Søren Bøye Olsen, D. Byrnes, Jerker Jarsjö, Philippe Van Cappellen and David L. Rudolph and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Applied and Environmental Microbiology.

In The Last Decade

Natalie G. Nelson

43 papers receiving 975 citations

Hit Papers

Managing nitrogen legacies to accelerate water quality im... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie G. Nelson United States 16 297 257 195 177 122 54 1.0k
Xinxin Lü China 20 260 0.9× 114 0.4× 248 1.3× 440 2.5× 27 0.2× 102 1.3k
Jianan Liu China 20 158 0.5× 82 0.3× 193 1.0× 183 1.0× 35 0.3× 65 1.5k
Bing-Jye Wang Taiwan 9 103 0.3× 40 0.2× 271 1.4× 149 0.8× 34 0.3× 14 676
Xiaotian Zhang China 13 109 0.4× 77 0.3× 47 0.2× 130 0.7× 32 0.3× 35 570
Long Ho Belgium 16 131 0.4× 289 1.1× 77 0.4× 148 0.8× 112 0.9× 45 818
Miao Liu China 21 374 1.3× 297 1.2× 412 2.1× 251 1.4× 110 0.9× 84 1.3k
Susan Kinnear Australia 17 440 1.5× 36 0.1× 172 0.9× 191 1.1× 16 0.1× 50 886
Hefni Effendi Indonesia 18 55 0.2× 426 1.7× 37 0.2× 273 1.5× 114 0.9× 135 1.2k
Juan A. Correa Chile 13 122 0.4× 76 0.3× 165 0.8× 135 0.8× 15 0.1× 27 963

Countries citing papers authored by Natalie G. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Natalie G. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie G. Nelson. 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 Natalie G. Nelson. The network helps show where Natalie G. Nelson may publish in the future.

Co-authorship network of co-authors of Natalie G. Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie G. Nelson. A scholar is included among the top collaborators of Natalie G. Nelson 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 Natalie G. Nelson. Natalie G. Nelson 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.
Nelson, Natalie G., et al.. (2025). Forecasting interannual abundance of Helicoverpa zea (Lepidoptera: Noctuidae). Environmental Entomology. 54(2). 378–385. 2 indexed citations
2.
Muenich, Rebecca Logsdon, Suman Aryal, Amanda J. Ashworth, et al.. (2025). Gaps in U.S. livestock data are a barrier to effective environmental and disease management. Environmental Research Letters. 20(3). 31001–31001.
3.
Nelson, Natalie G., et al.. (2025). Quantifying Summer Internal Phosphorus Loading in Large Lakes across the United States. Environmental Science & Technology. 59(21). 10445–10454.
5.
Duckworth, Owen W., et al.. (2024). Relationships between soil test phosphorus and county‐level agricultural surplus phosphorus. Journal of Environmental Quality. 53(6). 1127–1139.
6.
Emanuel, R. E., et al.. (2024). Standard metrics for characterizing episodic salinization in freshwater systems. Limnology and Oceanography Methods. 22(9). 647–659.
7.
Bhadha, Jehangir H., Maude Cuchiara, Luciano Colpo Gatiboni, et al.. (2024). Triple Bottom Line Scenario Sites as Boundary Objects for Integrating Diverse Disciplines in Convergent Research. Sustainability. 16(23). 10429–10429.
8.
Kaplan, David, Edward J. Phli̇ps, Eric C. Milbrandt, et al.. (2024). Downstream Nutrient Concentrations Depend on Watershed Inputs More Than Reservoir Releases in a Highly Engineered Watershed. Water Resources Research. 60(3). 12 indexed citations
9.
Oates, C.G., et al.. (2024). Effective Nutrient Management of Surface Waters in the United States Requires Expanded Water Quality Monitoring in Agriculturally Intensive Areas. SHILAP Revista de lepidopterología. 5(1). 1–11. 5 indexed citations
11.
Reynolds, Natalie L., Blake A. Schaeffer, Lucie Guertault, & Natalie G. Nelson. (2023). Satellite and in situ cyanobacteria monitoring: Understanding the impact of monitoring frequency on management decisions. Journal of Hydrology. 619. 129278–129278. 16 indexed citations
12.
14.
Gray, Josh, et al.. (2023). Machine learning approach for modeling daily pluvial flood dynamics in agricultural landscapes. Environmental Modelling & Software. 167. 105758–105758. 8 indexed citations
15.
Wells, M. J., Troy E. Gilmore, Natalie G. Nelson, Aaron R. Mittelstet, & J. K. Böhlke. (2021). Determination of vadose zone and saturated zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning. Hydrology and earth system sciences. 25(2). 811–829. 23 indexed citations
16.
Haque, Samiul, Edgar Lobatón, Natalie G. Nelson, et al.. (2021). Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery. Computers and Electronics in Agriculture. 182. 106011–106011. 22 indexed citations
17.
Miller, William G., Emma Yee, Angela Harris, et al.. (2020). Search for Campylobacter spp. Reveals High Prevalence and Pronounced Genetic Diversity of Arcobacter butzleri in Floodwater Samples Associated with Hurricane Florence in North Carolina, USA. Applied and Environmental Microbiology. 86(20). 14 indexed citations
18.
Phli̇ps, Edward J., Susan Badylak, Natalie G. Nelson, & Karl E. Havens. (2020). Hurricanes, El Niño and harmful algal blooms in two sub-tropical Florida estuaries: Direct and indirect impacts. Scientific Reports. 10(1). 1910–1910. 85 indexed citations
19.
Sofer, Tamar, Noralou P. Roos, & Natalie G. Nelson. (1983). Hysterectomy in Manitoba--1970-1978: patterns of practice and changes over time.. PubMed. 74(2). 100–5. 7 indexed citations
20.
Fowler, Bruce A., Lena E. Friberg, Arne Jernelöv, et al.. (1978). Factors Influencing Metabolism and Toxicity of Metals: A Consensus Report. Environmental Health Perspectives. 25. 3–3. 81 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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