Peter Kovalsky

1.6k total citations
17 papers, 1.4k citations indexed

About

Peter Kovalsky is a scholar working on Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Kovalsky has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 11 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Kovalsky's work include Membrane Separation Technologies (14 papers), Membrane-based Ion Separation Techniques (10 papers) and Aerosol Filtration and Electrostatic Precipitation (4 papers). Peter Kovalsky is often cited by papers focused on Membrane Separation Technologies (14 papers), Membrane-based Ion Separation Techniques (10 papers) and Aerosol Filtration and Electrostatic Precipitation (4 papers). Peter Kovalsky collaborates with scholars based in Australia, China and New Zealand. Peter Kovalsky's co-authors include T. David Waite, Wangwang Tang, Di He, Changyong Zhang, Baichuan Cao, Calvin He, John Fletcher, Jinxing Ma, Graeme Bushell and Xin Huang and has published in prestigious journals such as Environmental Science & Technology, Water Research and Chemical Engineering Journal.

In The Last Decade

Peter Kovalsky

17 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Kovalsky Australia 12 1.2k 1.1k 779 160 106 17 1.4k
Sohum K. Patel United States 15 1.0k 0.8× 961 0.9× 608 0.8× 57 0.4× 78 0.7× 19 1.4k
Pema Dorji Australia 13 555 0.4× 538 0.5× 286 0.4× 101 0.6× 135 1.3× 18 768
David Inhyuk Kim South Korea 19 702 0.6× 780 0.7× 306 0.4× 74 0.5× 99 0.9× 21 908
Ihsan Habib Dakhil Iraq 8 515 0.4× 565 0.5× 296 0.4× 38 0.2× 68 0.6× 17 897
Abdul Aziz Mohd Azoddein Malaysia 3 480 0.4× 497 0.4× 280 0.4× 31 0.2× 50 0.5× 4 711
Danu Ariono Indonesia 19 555 0.4× 512 0.5× 292 0.4× 28 0.2× 37 0.3× 61 962
M.C. Martí-Calatayud Spain 18 897 0.7× 605 0.5× 684 0.9× 25 0.2× 62 0.6× 49 1.1k
Paz Nativ Israel 11 327 0.3× 358 0.3× 212 0.3× 57 0.4× 79 0.7× 24 572
Boyue Lian Australia 20 488 0.4× 635 0.6× 244 0.3× 21 0.1× 60 0.6× 27 824
Gimun Gwak South Korea 14 552 0.4× 633 0.6× 267 0.3× 42 0.3× 60 0.6× 15 711

Countries citing papers authored by Peter Kovalsky

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kovalsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Kovalsky. 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 Peter Kovalsky. The network helps show where Peter Kovalsky may publish in the future.

Co-authorship network of co-authors of Peter Kovalsky

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

All Works

17 of 17 papers shown
1.
Lay, Mark, et al.. (2024). The Hard Reality of Biogas Production through the Anaerobic Digestion of Algae Grown in Dairy Farm Effluents. Fermentation. 10(3). 137–137. 2 indexed citations
2.
Lay, Mark, et al.. (2023). Anaerobic Digestion of Dairy Effluent in New Zealand, Time to Revisit the Idea?. Energies. 16(6). 2859–2859. 2 indexed citations
3.
He, Calvin, et al.. (2018). Integration of photovoltaic energy supply with membrane capacitive deionization (MCDI) for salt removal from brackish waters. Water Research. 147. 276–286. 106 indexed citations
4.
Kovalsky, Peter, et al.. (2018). Low cost desalination of brackish groundwaters by Capacitive Deionization (CDI) – Implications for irrigated agriculture. Desalination. 453. 37–53. 45 indexed citations
5.
Tang, Wangwang, Di He, Changyong Zhang, Peter Kovalsky, & T. David Waite. (2017). Comparison of Faradaic reactions in capacitive deionization (CDI) and membrane capacitive deionization (MCDI) water treatment processes. Water Research. 120. 229–237. 280 indexed citations
6.
Huang, Xin, Di He, Wangwang Tang, Peter Kovalsky, & T. David Waite. (2017). Investigation of pH-dependent phosphate removal from wastewaters by membrane capacitive deionization (MCDI). Environmental Science Water Research & Technology. 3(5). 875–882. 65 indexed citations
7.
Tang, Wangwang, Peter Kovalsky, Baichuan Cao, & T. David Waite. (2016). Investigation of fluoride removal from low-salinity groundwater by single-pass constant-voltage capacitive deionization. Water Research. 99. 112–121. 105 indexed citations
8.
Tang, Wangwang, Peter Kovalsky, Baichuan Cao, Di He, & T. David Waite. (2016). Fluoride Removal from Brackish Groundwaters by Constant Current Capacitive Deionization (CDI). Environmental Science & Technology. 50(19). 10570–10579. 84 indexed citations
9.
Ma, Jinxing, Di He, Wangwang Tang, et al.. (2016). Development of Redox-Active Flow Electrodes for High-Performance Capacitive Deionization. Environmental Science & Technology. 50(24). 13495–13501. 137 indexed citations
10.
He, Di, et al.. (2016). Faradaic Reactions in Water Desalination by Batch-Mode Capacitive Deionization. Environmental Science & Technology Letters. 3(5). 222–226. 287 indexed citations
11.
Tang, Wangwang, Peter Kovalsky, Di He, & T. David Waite. (2015). Fluoride and nitrate removal from brackish groundwaters by batch-mode capacitive deionization. Water Research. 84. 342–349. 205 indexed citations
12.
Kovalsky, Peter, Graeme Bushell, & T. David Waite. (2009). Prediction of transmembrane pressure build-up in constant flux microfiltration of compressible materials in the absence and presence of shear. Journal of Membrane Science. 344(1-2). 204–210. 16 indexed citations
13.
Kovalsky, Peter, Xiaomao Wang, Graeme Bushell, & T. David Waite. (2008). Application of local material properties to prediction of constant flux filtration behaviour of compressible matter. Journal of Membrane Science. 318(1-2). 191–200. 4 indexed citations
14.
Wang, Xiaomao, Sheng Chang, Peter Kovalsky, & T. David Waite. (2007). Multiphase flow models in quantifying constant pressure dead-end filtration and subsequent cake compression1. Dilute slurry filtration. Journal of Membrane Science. 308(1-2). 35–43. 11 indexed citations
15.
Wang, Xiaomao, Peter Kovalsky, & T. David Waite. (2007). Multiphase flow models in quantifying constant pressure dead-end filtration and subsequent cake compression2. Concentrated slurry filtration and cake compression. Journal of Membrane Science. 308(1-2). 44–53. 4 indexed citations
16.
Kovalsky, Peter, et al.. (2007). Compressible cake characterization from steady‐state filtration analysis. AIChE Journal. 53(6). 1483–1495. 21 indexed citations
17.
Kovalsky, Peter & Graeme Bushell. (2005). In situ measurement of fractal dimension using focussed beam reflectance measurement. Chemical Engineering Journal. 111(2-3). 181–188. 13 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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2026