Jonathan B. Burkhardt

576 total citations
28 papers, 313 citations indexed

About

Jonathan B. Burkhardt is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jonathan B. Burkhardt has authored 28 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health, Toxicology and Mutagenesis, 13 papers in Environmental Engineering and 12 papers in Civil and Structural Engineering. Recurrent topics in Jonathan B. Burkhardt's work include Water Systems and Optimization (12 papers), Water Treatment and Disinfection (12 papers) and Urban Stormwater Management Solutions (11 papers). Jonathan B. Burkhardt is often cited by papers focused on Water Systems and Optimization (12 papers), Water Treatment and Disinfection (12 papers) and Urban Stormwater Management Solutions (11 papers). Jonathan B. Burkhardt collaborates with scholars based in United States, Ghana and Canada. Jonathan B. Burkhardt's co-authors include Regan Murray, Joel Fried, Shuo Li, Michael R. Schock, Feng Shang, Simoni Triantafyllidou, Darren A. Lytle, Thomas F. Speth, Jonathan G. Pressman and Matthew L. Magnuson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Polymer.

In The Last Decade

Jonathan B. Burkhardt

27 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan B. Burkhardt United States 9 152 90 76 59 49 28 313
Caroline Russell United States 12 164 1.1× 45 0.5× 35 0.5× 31 0.5× 66 1.3× 25 358
Craig Patterson United States 12 90 0.6× 60 0.7× 22 0.3× 32 0.5× 168 3.4× 44 338
Sang Il Choi South Korea 8 49 0.3× 156 1.7× 75 1.0× 58 1.0× 61 1.2× 17 433
Dinusha Siriwardena United States 8 164 1.1× 218 2.4× 44 0.6× 33 0.6× 57 1.2× 8 345
Alfredo Tomás Spain 5 133 0.9× 30 0.3× 24 0.3× 16 0.3× 23 0.5× 6 376
Jeffrey Q. Adams United States 11 158 1.0× 44 0.5× 33 0.4× 42 0.7× 146 3.0× 16 366
Guoyuan Lei China 7 44 0.3× 54 0.6× 54 0.7× 26 0.4× 80 1.6× 11 321
Volker Birke Germany 7 53 0.3× 44 0.5× 17 0.2× 51 0.9× 47 1.0× 13 259
Wiwat Kamolpornwijit United States 9 87 0.6× 122 1.4× 34 0.4× 105 1.8× 101 2.1× 18 388

Countries citing papers authored by Jonathan B. Burkhardt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan B. Burkhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan B. Burkhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan B. Burkhardt. A scholar is included among the top collaborators of Jonathan B. Burkhardt 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 Jonathan B. Burkhardt. Jonathan B. Burkhardt 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.
Burkhardt, Jonathan B., et al.. (2025). How Do Novel PFAS Sorbents Fit into Current Engineering Paradigm?. ACS ES&T Engineering. 5(4). 830–838. 3 indexed citations
2.
Abulikemu, Gulizhaer, Jonathan G. Pressman, David G. Wahman, et al.. (2025). Perfluoroalkyl Chemical Adsorption by Granular Activated Carbon: Impacts of Source Water Characteristics. AWWA Water Science. 7(4).
3.
Abulikemu, Gulizhaer, Jonathan G. Pressman, George A. Sorial, et al.. (2024). Perfluoroalkyl chemical adsorption by granular activated carbon: Assessment of particle size impact on equilibrium parameters and associated rapid small-scale column test scaling assumptions. Water Research. 271. 122977–122977. 2 indexed citations
4.
Voigt, Jens‐Uwe, Julia Höhn, Christian Schreiber, et al.. (2024). Conceptional Framework for the Objective Work-Related Quality of Life Measurement Through Multimodal Data Integration from Wearables and Digital Interaction. SHILAP Revista de lepidopterología. 40. 61–68. 1 indexed citations
5.
Burkhardt, Jonathan B., et al.. (2023). Polanyi adsorption potential theory for estimating PFAS treatment with granular activated carbon. Journal of Water Process Engineering. 53. 103691–103691. 7 indexed citations
6.
Burkhardt, Jonathan B., et al.. (2023). Pressure dependent analysis in premise plumbing system modeling. AWWA Water Science. 5(3). 6 indexed citations
7.
Haupert, Levi M., et al.. (2023). Impact of phosphate addition on PFAS treatment performance for drinking water. AWWA Water Science. 5(6). 4 indexed citations
8.
Shang, Feng, Jonathan B. Burkhardt, & Regan Murray. (2023). Random Walk Particle Tracking to Model Dispersion in Steady Laminar and Turbulent Pipe Flow. Journal of Hydraulic Engineering. 149(7). 1–9. 3 indexed citations
9.
Burkhardt, Jonathan B., et al.. (2023). Relative Water Age in Premise Plumbing Systems Using an Agent-Based Modeling Framework. Journal of Water Resources Planning and Management. 149(4). 11 indexed citations
10.
Burkhardt, Jonathan B., et al.. (2022). Near real-time event detection for watershed monitoring with CANARY. Environmental Science Advances. 1(2). 170–181. 1 indexed citations
11.
Haxton, Terranna, et al.. (2021). Evaluating Manual Sampling Locations for Regulatory and Emergency Response. Journal of Water Resources Planning and Management. 147(12). 1–11. 2 indexed citations
12.
Bynum, Michael, et al.. (2021). Optimal Sampling Locations to Reduce Uncertainty in Contamination Extent in Water Distribution Systems. Journal of Infrastructure Systems. 27(3). 5 indexed citations
13.
Burkhardt, Jonathan B., et al.. (2021). Modeling PFAS Removal Using Granular Activated Carbon for Full-Scale System Design. Journal of Environmental Engineering. 148(3). 1–11. 33 indexed citations
14.
Triantafyllidou, Simoni, et al.. (2020). Variability and sampling of lead (Pb) in drinking water: Assessing potential human exposure depends on the sampling protocol. Environment International. 146. 106259–106259. 48 indexed citations
15.
Patterson, Craig, et al.. (2019). Effectiveness of point‐of‐use/point‐of‐entry systems to remove per‐ and polyfluoroalkyl substances from drinking water. AWWA Water Science. 1(2). 1–12. 48 indexed citations
16.
Burkhardt, Jonathan B. & Rossman. (2018). Modeling of Dispersion Effect for Intermittent Flow in Premise Plumbing Systems. 1. 1 indexed citations
17.
Burkhardt, Jonathan B., et al.. (2018). Understanding the Impact of Mesh on Tank Overflow System Capacity. American Water Works Association. 110(12). E44–E51. 1 indexed citations
18.
Hall, John S., et al.. (2017). CANARY Eases Water Quality Event Detection. Opflow. 43(4). 30–32. 1 indexed citations
19.
Burkhardt, Jonathan B., et al.. (2017). Modeling fate and transport of arsenic in a chlorinated distribution system. Environmental Modelling & Software. 93. 322–331. 16 indexed citations
20.
Burkhardt, Jonathan B.. (2013). Computational Modeling of SCMTR: A Synthetic Anion Channel. OhioLink ETD Center (Ohio Library and Information Network). 1 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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