Philip J. Schmidt

852 total citations
23 papers, 608 citations indexed

About

Philip J. Schmidt is a scholar working on Water Science and Technology, Infectious Diseases and Pollution. According to data from OpenAlex, Philip J. Schmidt has authored 23 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 6 papers in Infectious Diseases and 4 papers in Pollution. Recurrent topics in Philip J. Schmidt's work include Fecal contamination and water quality (13 papers), Viral gastroenteritis research and epidemiology (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Philip J. Schmidt is often cited by papers focused on Fecal contamination and water quality (13 papers), Viral gastroenteritis research and epidemiology (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). Philip J. Schmidt collaborates with scholars based in Canada, United States and Austria. Philip J. Schmidt's co-authors include Monica B. Emelko, Katarina Pintar, Kirsten M. Müller, Benjamin J.-M. Tremblay, Edward Topp, M. Kate Thomas, Park M. Reilly, Heather Murphy, Diane Medeiros and Mary E. Thompson and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Water Research.

In The Last Decade

Philip J. Schmidt

23 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip J. Schmidt Canada 15 248 180 129 82 79 23 608
Vasanta Chivukula United States 4 365 1.5× 155 0.9× 124 1.0× 62 0.8× 62 0.8× 8 598
Channah Rock United States 15 303 1.2× 202 1.1× 89 0.7× 71 0.9× 60 0.8× 40 796
Nena Nwachuku United States 16 229 0.9× 332 1.8× 98 0.8× 83 1.0× 61 0.8× 17 745
Rossella Briancesco Italy 15 257 1.0× 173 1.0× 75 0.6× 68 0.8× 57 0.7× 43 751
Athena Mavridou Greece 15 163 0.7× 84 0.5× 59 0.5× 62 0.8× 97 1.2× 32 590
Megan Devane New Zealand 15 264 1.1× 220 1.2× 56 0.4× 109 1.3× 66 0.8× 29 649
María Tereza Pepe Razzolini Brazil 17 179 0.7× 185 1.0× 125 1.0× 79 1.0× 46 0.6× 50 620
Annie Locas Canada 12 229 0.9× 140 0.8× 83 0.6× 61 0.7× 64 0.8× 18 541
Belinda S. McSwain United States 4 462 1.9× 187 1.0× 95 0.7× 76 0.9× 62 0.8× 8 623
Emily Viau United States 11 293 1.2× 228 1.3× 76 0.6× 150 1.8× 106 1.3× 12 783

Countries citing papers authored by Philip J. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip J. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Schmidt. A scholar is included among the top collaborators of Philip J. Schmidt 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 Philip J. Schmidt. Philip J. Schmidt 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.
Schmidt, Philip J., et al.. (2024). Drinking water QMRA and decision-making: Sensitivity of risk to common independence assumptions about model inputs. Water Research. 259. 121877–121877. 2 indexed citations
2.
3.
Schmidt, Philip J., Nicole Acosta, Patrick M. D’Aoust, et al.. (2023). Realizing the value in “non-standard” parts of the qPCR standard curve by integrating fundamentals of quantitative microbiology. Frontiers in Microbiology. 14. 1048661–1048661. 8 indexed citations
4.
Schmidt, Philip J., et al.. (2022). Ensuring That Fundamentals of Quantitative Microbiology Are Reflected in Microbial Diversity Analyses Based on Next-Generation Sequencing. Frontiers in Microbiology. 13. 728146–728146. 5 indexed citations
5.
Schmidt, Philip J., et al.. (2021). Enhancing diversity analysis by repeatedly rarefying next generation sequencing data describing microbial communities. Scientific Reports. 11(1). 22302–22302. 112 indexed citations
6.
Schmidt, Philip J., William B. Anderson, & Monica B. Emelko. (2020). Describing water treatment process performance: Why average log-reduction can be a misleading statistic. Water Research. 176. 115702–115702. 19 indexed citations
7.
Ramesh, Ashwin, Viviana Parreño, Philip J. Schmidt, et al.. (2020). Evaluation of the 50% Infectious Dose of Human Norovirus Cin-2 in Gnotobiotic Pigs: A Comparison of Classical and Contemporary Methods for Endpoint Estimation. Viruses. 12(9). 955–955. 18 indexed citations
8.
Emelko, Monica B., Philip J. Schmidt, & Mark A. Borchardt. (2019). Confirming the need for virus disinfection in municipal subsurface drinking water supplies. Water Research. 157. 356–364. 14 indexed citations
9.
Schmidt, Philip J., Monica B. Emelko, & Mary E. Thompson. (2019). Recognizing Structural Nonidentifiability: When Experiments Do Not Provide Information About Important Parameters and Misleading Models Can Still Have Great Fit. Risk Analysis. 40(2). 352–369. 13 indexed citations
10.
Schmidt, Philip J., et al.. (2018). Learning Something From Nothing: The Critical Importance of Rethinking Microbial Non-detects. Frontiers in Microbiology. 9. 2304–2304. 30 indexed citations
11.
Lapen, David R., Philip J. Schmidt, Janis L. Thomas, et al.. (2016). Towards a more accurate quantitative assessment of seasonal Cryptosporidium infection risks in surface waters using species and genotype information. Water Research. 105. 625–637. 34 indexed citations
12.
13.
14.
15.
Wilkes, Graham, Julie Brassard, Thomas A. Edge, et al.. (2013). Bacteria, viruses, and parasites in an intermittent stream protected from and exposed to pasturing cattle: Prevalence, densities, and quantitative microbial risk assessment. Water Research. 47(16). 6244–6257. 27 indexed citations
16.
Schmidt, Philip J., Katarina Pintar, A. Fazil, et al.. (2013). Using Campylobacter spp. and Escherichia coli data and Bayesian microbial risk assessment to examine public health risks in agricultural watersheds under tile drainage management. Water Research. 47(10). 3255–3272. 26 indexed citations
17.
Schmidt, Philip J., Monica B. Emelko, & Mary E. Thompson. (2013). Analytical recovery of protozoan enumeration methods: Have drinking water QMRA models corrected or created bias?. Water Research. 47(7). 2399–2408. 14 indexed citations
18.
Schmidt, Philip J. & Monica B. Emelko. (2010). QMRA and decision-making: Are we handling measurement errors associated with pathogen concentration data correctly?. Water Research. 45(2). 427–438. 27 indexed citations
19.
Emelko, Monica B., Philip J. Schmidt, & Park M. Reilly. (2010). Particle and Microorganism Enumeration Data: Enabling Quantitative Rigor and Judicious Interpretation. Environmental Science & Technology. 44(5). 1720–1727. 22 indexed citations
20.
Emelko, Monica B., Philip J. Schmidt, & J. Alan Roberson. (2008). Quantification of uncertainty in microbial data—reporting and regulatory implications. American Water Works Association. 100(3). 94–104. 23 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

Breakdown of academic impact, for papers by Vasanta Chivukula Breakdown of academic impact, for papers by Channah Rock Breakdown of academic impact, for papers by Nena Nwachuku Breakdown of academic impact, for papers by Rossella Briancesco Breakdown of academic impact, for papers by Athena Mavridou Breakdown of academic impact, for papers by Megan Devane Breakdown of academic impact, for papers by María Tereza Pepe Razzolini Breakdown of academic impact, for papers by Annie Locas Breakdown of academic impact, for papers by Belinda S. McSwain Breakdown of academic impact, for papers by Emily Viau
Rankless by CCL
2026