Eva Steinle‐Darling

654 total citations
17 papers, 547 citations indexed

About

Eva Steinle‐Darling is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis and Industrial and Manufacturing Engineering. According to data from OpenAlex, Eva Steinle‐Darling has authored 17 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 6 papers in Health, Toxicology and Mutagenesis and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Eva Steinle‐Darling's work include Per- and polyfluoroalkyl substances research (4 papers), Wastewater Treatment and Reuse (4 papers) and Toxic Organic Pollutants Impact (4 papers). Eva Steinle‐Darling is often cited by papers focused on Per- and polyfluoroalkyl substances research (4 papers), Wastewater Treatment and Reuse (4 papers) and Toxic Organic Pollutants Impact (4 papers). Eva Steinle‐Darling collaborates with scholars based in United States and Germany. Eva Steinle‐Darling's co-authors include Martin Reinhard, Eric Litwiller, Megan H. Plumlee, Marco Zedda, Harry Ridgway, Carmen Lebrón, Daniel Gerrity, Brian M. Pecson, Gary D. Hopkins and Eric Dickenson and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Eva Steinle‐Darling

16 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Steinle‐Darling United States 8 277 248 227 119 114 17 547
Israel J. López-Prieto United States 8 220 0.8× 346 1.4× 294 1.3× 124 1.0× 103 0.9× 13 635
Hooman Vatankhah United States 11 149 0.5× 307 1.2× 261 1.1× 92 0.8× 43 0.4× 13 493
Conner C. Murray United States 9 151 0.5× 350 1.4× 273 1.2× 103 0.9× 44 0.4× 11 511
Katherine Y. Bell United States 15 145 0.5× 311 1.3× 304 1.3× 52 0.4× 83 0.7× 63 779
Álvaro Soriano Spain 7 154 0.6× 326 1.3× 207 0.9× 94 0.8× 71 0.6× 8 453
Beatrice Cantoni Italy 10 94 0.3× 176 0.7× 162 0.7× 102 0.9× 40 0.4× 20 437
Kristian L. Dubrawski Canada 13 281 1.0× 131 0.5× 130 0.6× 81 0.7× 211 1.9× 22 609
Rabindra Raj Giri Japan 15 259 0.9× 178 0.7× 143 0.6× 24 0.2× 68 0.6× 30 638
Q. Shiang Fu United States 7 341 1.2× 622 2.5× 475 2.1× 235 2.0× 201 1.8× 8 1.0k
Mattias Sörengård Sweden 14 135 0.5× 602 2.4× 563 2.5× 81 0.7× 83 0.7× 20 1.0k

Countries citing papers authored by Eva Steinle‐Darling

Since Specialization
Citations

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

Fields of papers citing papers by Eva Steinle‐Darling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Steinle‐Darling. 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 Eva Steinle‐Darling. The network helps show where Eva Steinle‐Darling may publish in the future.

Co-authorship network of co-authors of Eva Steinle‐Darling

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

All Works

17 of 17 papers shown
1.
Thompson, Kyle A., Hannah Ray, Daniel Gerrity, et al.. (2024). Sources of per- and polyfluoroalkyl substances in an arid, urban, wastewater-dominated watershed. The Science of The Total Environment. 940. 173361–173361. 6 indexed citations
2.
Gerrity, Daniel, Katherine Crank, Eva Steinle‐Darling, & Brian M. Pecson. (2023). Establishing pathogen log reduction value targets for direct potable reuse in the United States. AWWA Water Science. 5(5). 17 indexed citations
3.
Steinle‐Darling, Eva, et al.. (2023). Learning From Water Reuse in Israel. American Water Works Association. 115(4). 72–75. 4 indexed citations
4.
Thompson, Kyle A., et al.. (2023). Sucralose and Predicted De Facto Wastewater Reuse Levels Correlate with PFAS Levels in Surface Waters. Environmental Science & Technology Letters. 10(5). 431–438. 21 indexed citations
5.
Steinle‐Darling, Eva, et al.. (2022). Get Ready for UCMR 5. Opflow. 48(10). 14–17.
6.
Steinle‐Darling, Eva, et al.. (2021). Per‐ and polyfluoroalkyl substance removal in carbon‐based advanced treatment for potable reuse. AWWA Water Science. 3(5). 7 indexed citations
7.
Steinle‐Darling, Eva, et al.. (2017). Innovative Potable Water Purification without RO - Direct Potable Reuse Demonstration Pilot in Central Florida. Proceedings of the Water Environment Federation. 2017(12). 2340–2347. 2 indexed citations
8.
Steinle‐Darling, Eva, et al.. (2016). Direct Potable Reuse Can (and Does!) Improve Water Quality: Full Results from Water Quality Testing at the Raw Water Production Facility in Big Spring. Proceedings of the Water Environment Federation. 2016(10). 5385–5387. 2 indexed citations
9.
Steinle‐Darling, Eva, et al.. (2016). Sampled Direct Potable Reuse Water Shows Promising Results. Opflow. 42(2). 20–22. 4 indexed citations
10.
Steinle‐Darling, Eva, et al.. (2016). Guidelines for Engineered Storage for Direct Potable Reuse. Water Intelligence Online. 15(0). 2139875485–2139875485. 5 indexed citations
11.
Englehardt, James D., Tingting Wu, Frederick Bloetscher, et al.. (2016). Net-zero water management: achieving energy-positive municipal water supply. Environmental Science Water Research & Technology. 2(2). 250–260. 23 indexed citations
12.
Steinle‐Darling, Eva, et al.. (2016). A Direct Aquifer Injection of High Quality Reclaimed Water: A Reclaimed Water Management and CEC Case Study. Proceedings of the Water Environment Federation. 2016(7). 2656–2685. 1 indexed citations
13.
Steinle‐Darling, Eva. (2015). The Many Faces of DPR in Texas. American Water Works Association. 107(3). 16–20. 8 indexed citations
14.
Steinle‐Darling, Eva, Eric Litwiller, & Martin Reinhard. (2010). Effects of Sorption on the Rejection of Trace Organic Contaminants During Nanofiltration. Environmental Science & Technology. 44(7). 2592–2598. 71 indexed citations
15.
Steinle‐Darling, Eva & Martin Reinhard. (2008). Nanofiltration for Trace Organic Contaminant Removal: Structure, Solution, and Membrane Fouling Effects on the Rejection of Perfluorochemicals. Environmental Science & Technology. 42(14). 5292–5297. 245 indexed citations
16.
Steinle‐Darling, Eva, Marco Zedda, Megan H. Plumlee, Harry Ridgway, & Martin Reinhard. (2007). Evaluating the impacts of membrane type, coating, fouling, chemical properties and water chemistry on reverse osmosis rejection of seven nitrosoalklyamines, including NDMA. Water Research. 41(17). 3959–3967. 112 indexed citations
17.
Reinhard, Martin, Gary D. Hopkins, Eva Steinle‐Darling, & Carmen Lebrón. (2005). In Situ Biotransformation of BTEX Compounds Under Methanogenic Conditions. Groundwater Monitoring & Remediation. 25(4). 50–59. 19 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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