Kyle Curtis

622 total citations
9 papers, 380 citations indexed

About

Kyle Curtis is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis and Infectious Diseases. According to data from OpenAlex, Kyle Curtis has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Water Science and Technology, 4 papers in Health, Toxicology and Mutagenesis and 2 papers in Infectious Diseases. Recurrent topics in Kyle Curtis's work include Fecal contamination and water quality (5 papers), Water Treatment and Disinfection (4 papers) and Urban Stormwater Management Solutions (2 papers). Kyle Curtis is often cited by papers focused on Fecal contamination and water quality (5 papers), Water Treatment and Disinfection (4 papers) and Urban Stormwater Management Solutions (2 papers). Kyle Curtis collaborates with scholars based in United States and Ghana. Kyle Curtis's co-authors include Raúl González, David Keeling, Dana González, Hannah M. Thompson, Aaron Bivins, Jamie Mitchell, Kyle Bibby, Mark H. Weir, J. M. Trapp and David Jurgens and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Kyle Curtis

9 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Curtis United States	5	323	202	66	45	27	9	380
Shalina Shahin United States	4	381 1.2×	223 1.1×	75 1.1×	67 1.5×	20 0.7×	8	458
Lorelay Mendoza Grijalva United States	4	345 1.1×	222 1.1×	82 1.2×	45 1.0×	16 0.6×	6	386
Francesca Cutrupi Italy	6	328 1.0×	155 0.8×	54 0.8×	68 1.5×	17 0.6×	8	390
Devin North United States	8	271 0.8×	149 0.7×	63 1.0×	35 0.8×	54 2.0×	10	336
Lauren Ward United States	6	381 1.2×	218 1.1×	74 1.1×	67 1.5×	17 0.6×	8	447
Jamie Mitchell United States	3	309 1.0×	196 1.0×	62 0.9×	40 0.9×	8 0.3×	5	341
Hannah Greenwald United States	5	359 1.1×	233 1.2×	121 1.8×	39 0.9×	11 0.4×	10	408
Wakana Oishi Japan	8	223 0.7×	114 0.6×	37 0.6×	38 0.8×	15 0.6×	25	303
Yifan Zhu Japan	7	256 0.8×	133 0.7×	38 0.6×	38 0.8×	41 1.5×	19	325
Janvi Raval India	3	325 1.0×	156 0.8×	62 0.9×	48 1.1×	8 0.3×	4	380

Countries citing papers authored by Kyle Curtis

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Curtis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle Curtis. 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 Kyle Curtis. The network helps show where Kyle Curtis may publish in the future.

Co-authorship network of co-authors of Kyle Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Curtis. A scholar is included among the top collaborators of Kyle Curtis 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 Kyle Curtis. Kyle Curtis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Curtis, Kyle, Michael A. Jahne, David Keeling, & Raúl González. (2024). The effect of sewage source on HF183 risk-based threshold estimation for recreational water quality management. Microbial Risk Analysis. 27-28. 100315–100315. 1 indexed citations

Jeng, Hueiwang Anna, Rekha Singh, Norou Diawara, et al.. (2023). Application of wastewater-based surveillance and copula time-series model for COVID-19 forecasts. The Science of The Total Environment. 885. 163655–163655. 13 indexed citations

Jeng, Hueiwang Anna, Rekha Singh, Norou Diawara, et al.. (2023). Application of Wastewater-Based Surveillance and Copula Time-Series Model for COVID-19 Forecasts. SSRN Electronic Journal. 1 indexed citations

González, Raúl, Kyle Curtis, Aaron Bivins, et al.. (2020). COVID-19 surveillance in Southeastern Virginia using wastewater-based epidemiology. Water Research. 186. 116296–116296. 334 indexed citations

González, Dana, David Keeling, Hannah M. Thompson, et al.. (2020). Collection system investigation microbial source tracking (CSI-MST): Applying molecular markers to identify sewer infrastructure failures. Journal of Microbiological Methods. 178. 106068–106068. 10 indexed citations

Curtis, Kyle & Raúl González. (2019). Integrating Bayesian Analysis and Cumulative Probability Generates High Confidence Using a Single Microbial Source Tracking Marker. Environmental Science & Technology. 53(23). 13929–13937. 7 indexed citations

Curtis, Kyle & J. M. Trapp. (2016). Examining the Colonization and Survival of E. coli from Varying Host Sources in Drainage Basin Sediments and Stormwater. Archives of Environmental Contamination and Toxicology. 71(2). 183–197. 4 indexed citations

Curtis, Kyle, et al.. (2015). Development and Detection of Kidd Antibodies. Laboratory Medicine. 46(3). 235–240. 7 indexed citations

Curtis, Kyle & J. M. Trapp. (2014). Evidence for the Accumulation and Steady-State Persistence of E. coli in Subtropical Drainage Basin Sediments. Water Air & Soil Pollution. 225(12). 3 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.

Explore authors with similar magnitude of impact