David J. Lampert

893 total citations
29 papers, 637 citations indexed

About

David J. Lampert is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, David J. Lampert has authored 29 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 10 papers in Environmental Engineering and 8 papers in Water Science and Technology. Recurrent topics in David J. Lampert's work include Toxic Organic Pollutants Impact (11 papers), Groundwater flow and contamination studies (8 papers) and Membrane Separation Technologies (4 papers). David J. Lampert is often cited by papers focused on Toxic Organic Pollutants Impact (11 papers), Groundwater flow and contamination studies (8 papers) and Membrane Separation Technologies (4 papers). David J. Lampert collaborates with scholars based in United States, Iran and Vietnam. David J. Lampert's co-authors include Danny D. Reible, Hao Cai, Amgad Elgowainy, Gerald E. Speitel, May Wu, Julia A. Stegemann, Mark J. Krzmarzick, Xiaoxia Lü, Yuewei Zhu and Na Zhao and has published in prestigious journals such as Environmental Science & Technology, Energy & Environmental Science and The Science of The Total Environment.

In The Last Decade

David J. Lampert

27 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Lampert United States 17 248 191 136 130 126 29 637
Mark Bowman Australia 10 309 1.2× 300 1.6× 95 0.7× 244 1.9× 71 0.6× 20 712
Rachel Coyte United States 15 322 1.3× 160 0.8× 140 1.0× 157 1.2× 254 2.0× 25 1.0k
Xiaoming Du China 21 314 1.3× 404 2.1× 114 0.8× 70 0.5× 177 1.4× 50 981
Suthan Suthersan United States 14 141 0.6× 274 1.4× 291 2.1× 110 0.8× 80 0.6× 38 730
Carlo Bianco Italy 16 191 0.8× 200 1.0× 193 1.4× 40 0.3× 107 0.8× 34 737
Xilai Zheng China 15 125 0.5× 128 0.7× 150 1.1× 136 1.0× 361 2.9× 30 846
Εmmanouella Remoundaki Greece 15 321 1.3× 87 0.5× 185 1.4× 71 0.5× 68 0.5× 30 680
Mengmeng Shen China 13 181 0.7× 147 0.8× 61 0.4× 318 2.4× 157 1.2× 20 652
Yi Peng China 17 300 1.2× 453 2.4× 122 0.9× 62 0.5× 146 1.2× 54 875

Countries citing papers authored by David J. Lampert

Since Specialization
Citations

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

Fields of papers citing papers by David J. Lampert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Lampert. 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 David J. Lampert. The network helps show where David J. Lampert may publish in the future.

Co-authorship network of co-authors of David J. Lampert

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Lampert. A scholar is included among the top collaborators of David J. Lampert 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 David J. Lampert. David J. Lampert 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.
Lampert, David J., et al.. (2023). Analysis of a Passive Sampling Device to Assess the Behavior of Per- and Polyfluoroalkyl Substances in Sediments. Environmental Toxicology and Chemistry. 42(10). 2171–2183. 1 indexed citations
2.
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Gholizadeh, Hamed, et al.. (2023). A remote sensing tool for near real‐time monitoring of harmful algal blooms and turbidity in reservoirs. JAWRA Journal of the American Water Resources Association. 59(5). 929–949. 24 indexed citations
5.
Lampert, David J., et al.. (2022). Response to comment on “COVID-19, a double-edged sword for the environment: a review on the impacts of COVID-19 on the environment”. Environmental Science and Pollution Research. 29(7). 10865–10866. 1 indexed citations
6.
Ghosh, Anirban, Ghader Mahmodi, Seok‐Jhin Kim, et al.. (2022). Treatment and Recovery of High-Value Elements from Produced Water. Water. 14(6). 880–880. 31 indexed citations
7.
Lampert, David J., et al.. (2021). COVID-19, a double-edged sword for the environment: a review on the impacts of COVID-19 on the environment. Environmental Science and Pollution Research. 28(44). 61969–61978. 11 indexed citations
8.
Lampert, David J., et al.. (2021). Well-to-wake analysis of switchgrass to jet fuel via a novel co-fermentation of sugars and CO2. The Science of The Total Environment. 782. 146770–146770. 9 indexed citations
9.
Lampert, David J., et al.. (2020). Membrane Desalination to Prepare Produced Water for Reuse. 8–15. 4 indexed citations
10.
Karami, Hojat, et al.. (2020). Experimental Investigation of Scour Reduction Around Spur Dikes by Collar Using Taguchi Method. Iranian Journal of Science and Technology Transactions of Civil Engineering. 45(2). 971–983. 17 indexed citations
11.
Hasheminejad, Hasti, et al.. (2020). Performance of activated carbon coated graphite bipolar electrodes on capacitive deionization method for salinity reduction. Frontiers of Environmental Science & Engineering. 14(6). 12 indexed citations
12.
Lampert, David J. & May Wu. (2018). Automated Approach for Construction of Long-Term, Data-Intensive Watershed Models. Journal of Computing in Civil Engineering. 32(4). 4 indexed citations
13.
Shen, Xiaolong, David J. Lampert, Stephen M. Ogle, & Danny D. Reible. (2018). A software tool for simulating contaminant transport and remedial effectiveness in sediment environments. Environmental Modelling & Software. 109. 104–113. 21 indexed citations
14.
Lampert, David J.. (2018). Emerging Research Needs for Assessment and Remediation of Sediments Contaminated with Per- and Poly-fluoroalkyl Substances. Current Pollution Reports. 4(4). 277–279. 5 indexed citations
15.
Lampert, David J., Hao Cai, & Amgad Elgowainy. (2016). Wells to wheels: water consumption for transportation fuels in the United States. Energy & Environmental Science. 9(3). 787–802. 76 indexed citations
16.
Lampert, David J., et al.. (2014). Internal and external transport significance for predicting contaminant uptake rates in passive samplers. Chemosphere. 119. 910–916. 29 indexed citations
17.
Lampert, David J., Xiaoxia Lü, & Danny D. Reible. (2013). Long-term PAH monitoring results from the Anacostia River active capping demonstration using polydimethylsiloxane (PDMS) fibers. Environmental Science Processes & Impacts. 15(3). 554–554. 24 indexed citations
18.
Reible, Danny D., et al.. (2006). Active capping demonstration in the Anacostia river, Washington, D.C.. Remediation Journal. 17(1). 39–53. 42 indexed citations
19.
Lampert, David J., et al.. (2006). Removal of Perfluorooctanoic Acid and Perfluorooctane Sulfonate from Wastewater by Ion Exchange. Practice Periodical of Hazardous Toxic and Radioactive Waste Management. 11(1). 60–68. 73 indexed citations
20.
Lampert, David J.. (1986). Algebraic p-adic expansions. Journal of Number Theory. 23(3). 279–284. 4 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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