Harold Wright

646 total citations
24 papers, 504 citations indexed

About

Harold Wright is a scholar working on Biomedical Engineering, Industrial and Manufacturing Engineering and Biotechnology. According to data from OpenAlex, Harold Wright has authored 24 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Industrial and Manufacturing Engineering and 4 papers in Biotechnology. Recurrent topics in Harold Wright's work include Listeria monocytogenes in Food Safety (4 papers), Parasitic Infections and Diagnostics (3 papers) and Skin Protection and Aging (3 papers). Harold Wright is often cited by papers focused on Listeria monocytogenes in Food Safety (4 papers), Parasitic Infections and Diagnostics (3 papers) and Skin Protection and Aging (3 papers). Harold Wright collaborates with scholars based in United States, Austria and Canada. Harold Wright's co-authors include Sara E. Beck, Karl G. Linden, Thomas M. Hargy, Thomas C. Larason, Roberto Rodríguez, Yuri Lawryshyn, Charlie J. Liu, Timothy J. Strathmann, Christopher P. Higgins and Charles E. Schaefer and has published in prestigious journals such as Environmental Science & Technology, Water Research and American Water Works Association.

In The Last Decade

Harold Wright

22 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Harold Wright 136 109 104 94 89 24 504
James P. Malley 219 1.6× 75 0.7× 41 0.4× 190 2.0× 37 0.4× 33 559
Natalie M. Hull 251 1.8× 119 1.1× 130 1.3× 128 1.4× 43 0.5× 34 694
Thomas M. Hargy 234 1.7× 147 1.3× 170 1.6× 169 1.8× 118 1.3× 13 843
Alexander Cabaj 251 1.8× 171 1.6× 78 0.8× 129 1.4× 268 3.0× 35 863
Zuzana Bohrerova 90 0.7× 171 1.6× 27 0.3× 74 0.8× 139 1.6× 22 609
Silke Kirchen 110 0.8× 58 0.5× 20 0.2× 59 0.6× 35 0.4× 11 633
Laura A. Boczek 126 0.9× 147 1.3× 76 0.7× 106 1.1× 91 1.0× 27 605
Surapong Rattanakul 150 1.1× 199 1.8× 84 0.8× 138 1.5× 95 1.1× 17 600
Amina K. Stoddart 238 1.8× 140 1.3× 36 0.3× 125 1.3× 21 0.2× 48 656
Jordan Peccia 321 2.4× 60 0.6× 273 2.6× 33 0.4× 36 0.4× 12 597

Countries citing papers authored by Harold Wright

Since Specialization
Citations

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

Fields of papers citing papers by Harold Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harold Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Harold Wright. A scholar is included among the top collaborators of Harold Wright 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 Harold Wright. Harold Wright 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.
Liu, Charlie J., Garrett McKay, Daqian Jiang, et al.. (2021). Pilot-scale field demonstration of a hybrid nanofiltration and UV-sulfite treatment train for groundwater contaminated by per- and polyfluoroalkyl substances (PFASs). Water Research. 205. 117677–117677. 68 indexed citations
2.
3.
Wright, Harold, et al.. (2018). Impact of UVT on UV Dose Delivery with UV AOP. Proceedings of the Water Environment Federation. 2018(9). 4210–4220. 1 indexed citations
4.
Beck, Sara E., Harold Wright, Thomas M. Hargy, Thomas C. Larason, & Karl G. Linden. (2014). Action spectra for validation of pathogen disinfection in medium-pressure ultraviolet (UV) systems. Water Research. 70. 27–37. 147 indexed citations
5.
Beck, Sara E., et al.. (2014). Evaluation of DNA damage reversal during medium-pressure UV disinfection. Water Research. 56. 181–189. 35 indexed citations
6.
Wright, Harold, et al.. (2014). CFD-Based UV Dose Prediction Tool for Wastewater Reuse Applications. Proceedings of the Water Environment Federation. 2014(8). 6645–6656. 1 indexed citations
7.
Schmalwieser, Alois W., et al.. (2014). Aging of low-pressure amalgam lamps and UV dose delivery. Journal of Environmental Engineering and Science. 9(2). 113–124. 5 indexed citations
8.
Wright, Harold, et al.. (2013). Troubleshooting Your UV Disinfection System. Proceedings of the Water Environment Federation. 2013(9). 5893–5909.
9.
Beck, Sara E., Roberto Rodríguez, Karl G. Linden, et al.. (2013). Wavelength Dependent UV Inactivation and DNA Damage of Adenovirus as Measured by Cell Culture Infectivity and Long Range Quantitative PCR. Environmental Science & Technology. 48(1). 591–598. 122 indexed citations
10.
Roberts, Philip J. W., et al.. (2011). UV reactor flow visualization and mixing quantification using three-dimensional laser-induced fluorescence. Water Research. 45(13). 3855–3862. 13 indexed citations
11.
Ho, Clifford K., et al.. (2008). Important Factors for Computational Modeling of UV Disinfection Systems.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
12.
Hargy, Thomas M., et al.. (2007). Development and characterization of nonpathogenic surrogates for UV reactor validation. American Water Works Association. 99(3). 73–82. 14 indexed citations
13.
Bolton, James R., et al.. (2005). Using a mathematical fluence rate model to estimate the sensor readings in a multi-lamp ultraviolet reactor. Journal of Environmental Engineering and Science. 4(Supplement 1). S27–S31. 2 indexed citations
14.
Wright, Harold, et al.. (2005). A Semi-Empirical Modeling Approach for Analyzing UV Disinfection System Validation Data. Proceedings of the Water Environment Federation. 2005(1). 227–239. 1 indexed citations
15.
Cabaj, Alexander, Regina Sommer, James R. Bolton, Harold Wright, & Alois W. Schmalwieser. (2005). The influence of the position and spectral sensitivity of sensors on the surveillance of water-disinfection plants with polychromatic ultraviolet radiation. Journal of Environmental Engineering and Science. 4(Supplement 1). S45–S50. 2 indexed citations
16.
Crozes, Gil, et al.. (2003). Synergies of UV Disinfection and Ozone in Water Treatment. 3 indexed citations
17.
Wright, Harold, et al.. (2002). A COMPARISON OF UV DISINFECTION FOR DRINKING WATER, WASTEWATER, AND RECLAIMED WASTEWATER. Proceedings of the Water Environment Federation. 2002(16). 662–676. 4 indexed citations
18.
Wright, Harold, et al.. (2002). Impact of UV Intensity Sensor Properties and Positioning on Dose Delivery Compliance Monitoring for Monochromatic and Polychromatic UV Disinfection Systems. Proceedings of the Water Environment Federation. 2002(1). 414–426. 3 indexed citations
19.
Hargy, Thomas M., et al.. (2002). Comparing Cryptosporidium AND MS2 Bioassays—implications for UV Reactor validation. American Water Works Association. 94(2). 62–69. 14 indexed citations
20.
Wright, Harold & Yuri Lawryshyn. (2000). AN ASSESSMENT OF THE BIOASSAY CONCEPT FOR UV REACTOR VALIDATION. Proceedings of the Water Environment Federation. 2000(2). 378–400. 19 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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