Laura A. De Cicco

1.2k total citations
10 papers, 950 citations indexed

About

Laura A. De Cicco is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Laura A. De Cicco has authored 10 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Water Science and Technology, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Environmental Engineering. Recurrent topics in Laura A. De Cicco's work include Urban Stormwater Management Solutions (3 papers), Water Quality and Resources Studies (3 papers) and Toxic Organic Pollutants Impact (3 papers). Laura A. De Cicco is often cited by papers focused on Urban Stormwater Management Solutions (3 papers), Water Quality and Resources Studies (3 papers) and Toxic Organic Pollutants Impact (3 papers). Laura A. De Cicco collaborates with scholars based in United States. Laura A. De Cicco's co-authors include Robert M. Hirsch, Steven R. Corsi, Michelle A. Lutz, S. A. Archfield, Austin K. Baldwin, Daniel L. Villeneuve, Peter L. Lenaker, Daniel J. Sullivan, Kevin D. Richards and Gerald T. Ankley and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Laura A. De Cicco

10 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura A. De Cicco United States 9 472 332 317 252 191 10 950
Wenjun Yang China 13 334 0.7× 191 0.6× 202 0.6× 76 0.3× 132 0.7× 29 694
Chunzi Ma China 19 358 0.8× 413 1.2× 165 0.5× 62 0.2× 211 1.1× 45 926
Jack W. Kramer United States 12 592 1.3× 485 1.5× 165 0.5× 173 0.7× 85 0.4× 14 1.1k
Zhuoshi He China 20 282 0.6× 441 1.3× 273 0.9× 71 0.3× 393 2.1× 40 984
Ricardo González‐Pinzón United States 20 652 1.4× 588 1.8× 233 0.7× 444 1.8× 58 0.3× 44 1.3k
Yong Pang China 16 310 0.7× 281 0.8× 217 0.7× 55 0.2× 202 1.1× 58 813
M. Harrow United Kingdom 17 513 1.1× 587 1.8× 166 0.5× 124 0.5× 51 0.3× 20 992
Sung Min South Korea 11 502 1.1× 168 0.5× 79 0.2× 298 1.2× 64 0.3× 29 736
J. Saraceno United States 10 536 1.1× 471 1.4× 39 0.1× 184 0.7× 84 0.4× 16 999
M. Loewenthal United Kingdom 15 597 1.3× 505 1.5× 90 0.3× 153 0.6× 44 0.2× 22 865

Countries citing papers authored by Laura A. De Cicco

Since Specialization
Citations

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

Fields of papers citing papers by Laura A. De Cicco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura A. De Cicco. 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 Laura A. De Cicco. The network helps show where Laura A. De Cicco may publish in the future.

Co-authorship network of co-authors of Laura A. De Cicco

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

All Works

10 of 10 papers shown
1.
2.
Loken, Luke C., Steven R. Corsi, David A. Alvarez, et al.. (2022). Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers. Environmental Toxicology and Chemistry. 42(2). 340–366. 11 indexed citations
3.
Alvarez, David A., Steven R. Corsi, Laura A. De Cicco, Daniel L. Villeneuve, & Austin K. Baldwin. (2021). Identifying Chemicals and Mixtures of Potential Biological Concern Detected in Passive Samplers from Great Lakes Tributaries Using High-Throughput Data and Biological Pathways. Environmental Toxicology and Chemistry. 40(8). 2165–2182. 34 indexed citations
4.
Corsi, Steven R., Laura A. De Cicco, Angela M. Hansen, et al.. (2021). Optical Properties of Water for Prediction of Wastewater Contamination, Human-Associated Bacteria, and Fecal Indicator Bacteria in Surface Water at Three Watershed Scales. Environmental Science & Technology. 55(20). 13770–13782. 20 indexed citations
5.
Corsi, Steven R., Laura A. De Cicco, Daniel L. Villeneuve, et al.. (2019). Prioritizing chemicals of ecological concern in Great Lakes tributaries using high-throughput screening data and adverse outcome pathways. The Science of The Total Environment. 686. 995–1009. 79 indexed citations
6.
Oelsner, Gretchen P., Lori A. Sprague, Jennifer C. Murphy, et al.. (2017). Water-quality trends in the nation’s rivers and streams, 1972–2012—Data preparation, statistical methods, and trend results. Scientific investigations report. 82 indexed citations
7.
Baldwin, Austin K., Steven R. Corsi, Laura A. De Cicco, et al.. (2016). Organic contaminants in Great Lakes tributaries: Prevalence and potential aquatic toxicity. The Science of The Total Environment. 554-555. 42–52. 100 indexed citations
8.
Hirsch, Robert M., S. A. Archfield, & Laura A. De Cicco. (2015). A bootstrap method for estimating uncertainty of water quality trends. Environmental Modelling & Software. 73. 148–166. 165 indexed citations
9.
Hirsch, Robert M. & Laura A. De Cicco. (2014). User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data. Techniques and methods. 227 indexed citations
10.
Corsi, Steven R., Laura A. De Cicco, Michelle A. Lutz, & Robert M. Hirsch. (2014). River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons. The Science of The Total Environment. 508. 488–497. 229 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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