Monica B. Emelko

3.8k total citations
79 papers, 2.5k citations indexed

About

Monica B. Emelko is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Monica B. Emelko has authored 79 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Water Science and Technology, 19 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Monica B. Emelko's work include Fecal contamination and water quality (22 papers), Fire effects on ecosystems (18 papers) and Soil erosion and sediment transport (11 papers). Monica B. Emelko is often cited by papers focused on Fecal contamination and water quality (22 papers), Fire effects on ecosystems (18 papers) and Soil erosion and sediment transport (11 papers). Monica B. Emelko collaborates with scholars based in Canada, United States and United Kingdom. Monica B. Emelko's co-authors include U. Silins, Micheal Stone, Kevin D. Bladon, Philip J. Schmidt, Peter M. Huck, Bradley M. Coffey, Chao Jin, C. Williams, Michael J. Wagner and Adrian L. Collins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Monica B. Emelko

77 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica B. Emelko Canada 29 929 809 523 439 347 79 2.5k
Lanhai Li China 36 1.5k 1.6× 1.1k 1.3× 408 0.8× 180 0.4× 349 1.0× 155 3.8k
Shuai Wang China 32 743 0.8× 378 0.5× 683 1.3× 247 0.6× 283 0.8× 127 3.3k
Yinghui Liu China 26 698 0.8× 403 0.5× 708 1.4× 121 0.3× 156 0.4× 120 2.7k
Nynke Hofstra Netherlands 29 2.5k 2.7× 1.4k 1.8× 465 0.9× 308 0.7× 86 0.2× 58 5.0k
Xiaodong Yang China 32 837 0.9× 202 0.2× 839 1.6× 223 0.5× 181 0.5× 159 3.4k
Olivier Ribolzi France 28 519 0.6× 1.1k 1.4× 669 1.3× 123 0.3× 132 0.4× 92 2.6k
Emma Rochelle‐Newall France 33 496 0.5× 701 0.9× 1.4k 2.6× 261 0.6× 82 0.2× 97 3.5k
Raj Setia India 27 326 0.4× 374 0.5× 575 1.1× 221 0.5× 114 0.3× 89 2.6k
Yves Richard France 28 2.1k 2.2× 520 0.6× 599 1.1× 345 0.8× 69 0.2× 105 3.4k

Countries citing papers authored by Monica B. Emelko

Since Specialization
Citations

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

Fields of papers citing papers by Monica B. Emelko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica B. Emelko. 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 Monica B. Emelko. The network helps show where Monica B. Emelko may publish in the future.

Co-authorship network of co-authors of Monica B. Emelko

This figure shows the co-authorship network connecting the top 25 collaborators of Monica B. Emelko. A scholar is included among the top collaborators of Monica B. Emelko 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 Monica B. Emelko. Monica B. Emelko 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.
2.
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
3.
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
4.
Emelko, Monica B., William B. Anderson, Domenico Savio, et al.. (2020). Evaluation of groundwater bacterial community composition to inform waterborne pathogen vulnerability assessments. The Science of The Total Environment. 743. 140472–140472. 10 indexed citations
5.
Emmerton, Craig A., Colin A. Cooke, U. Silins, et al.. (2020). Severe western Canadian wildfire affects water quality even at large basin scales. Water Research. 183. 116071–116071. 66 indexed citations
6.
Williams, C., et al.. (2019). Net precipitation in burned and unburned subalpine forest stands after wildfire in the northern Rocky Mountains. International Journal of Wildland Fire. 28(10). 750–760. 28 indexed citations
7.
Kirisits, Mary Jo, Monica B. Emelko, & Ameet Pinto. (2019). Applying biotechnology for drinking water biofiltration: advancing science and practice. Current Opinion in Biotechnology. 57. 197–204. 43 indexed citations
8.
Robinne, François‐Nicolas, Kevin D. Bladon, U. Silins, et al.. (2019). A Regional-Scale Index for Assessing the Exposure of Drinking-Water Sources to Wildfires. Forests. 10(5). 384–384. 27 indexed citations
9.
Nunes, João Pedro, Stefan H. Doerr, Gary Sheridan, et al.. (2018). Assessing water contamination risk from vegetation fires: Challenges, opportunities and a framework for progress. Hydrological Processes. 32(5). 687–694. 74 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.
Jin, Chao, et al.. (2017). Synergies of media surface roughness and ionic strength on particle deposition during filtration. Water Research. 114. 286–295. 35 indexed citations
12.
Bladon, Kevin D., Monica B. Emelko, U. Silins, & Micheal Stone. (2014). Wildfire and the Future of Water Supply. Environmental Science & Technology. 48(16). 8936–8943. 252 indexed citations
13.
Williams, C., U. Silins, Michael J. Wagner, et al.. (2014). Impacts of Wildfire on Interception Losses and Net Precipitation in a Sub-Alpine Rocky Mountain Watershed in Alberta, Canada.. 2014 AGU Fall Meeting. 2014. 1 indexed citations
14.
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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
16.
Stone, Micheal, Monica B. Emelko, Ian G. Droppo, & U. Silins. (2010). Biostabilization and erodibility of cohesive sediment deposits in wildfire-affected streams. Water Research. 45(2). 521–534. 39 indexed citations
17.
Emelko, Monica B., et al.. (2009). Field-scale evaluation of the co-transport impacts of Bacillus subtilis endospores on other pathogen surrogates. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
18.
Silins, U., Micheal Stone, Monica B. Emelko, & Kevin D. Bladon. (2008). Impacts of wildfire and post-fire salvage logging on sediment transfer in the Oldman watershed, Alberta, Canada. IAHS-AISH publication. 510–515. 5 indexed citations
19.
Bladon, Kevin D., U. Silins, Michael J. Wagner, et al.. (2008). Wildfire impacts on nitrogen concentration and production from headwater streams in southern Alberta’s Rocky Mountains. Canadian Journal of Forest Research. 38(9). 2359–2371. 86 indexed citations
20.
Huck, Peter M., et al.. (2002). Effects of Filter Operation on Cryptosporidium Removal (PDF). American Water Works Association. 94(6). 97–111. 28 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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