Kenneth H. Reckhow

5.9k total citations
110 papers, 4.3k citations indexed

About

Kenneth H. Reckhow is a scholar working on Water Science and Technology, Environmental Chemistry and Environmental Engineering. According to data from OpenAlex, Kenneth H. Reckhow has authored 110 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Water Science and Technology, 45 papers in Environmental Chemistry and 25 papers in Environmental Engineering. Recurrent topics in Kenneth H. Reckhow's work include Soil and Water Nutrient Dynamics (40 papers), Water Quality and Pollution Assessment (38 papers) and Water Quality and Resources Studies (23 papers). Kenneth H. Reckhow is often cited by papers focused on Soil and Water Nutrient Dynamics (40 papers), Water Quality and Pollution Assessment (38 papers) and Water Quality and Resources Studies (23 papers). Kenneth H. Reckhow collaborates with scholars based in United States, Canada and United Kingdom. Kenneth H. Reckhow's co-authors include Craig A. Stow, Mark E. Borsuk, Song S. Qian, Steven C. Chapra, George B. Arhonditsis, Ibrahim Alameddine, Melissa A. Kenney, Gerard McMahon, Robert L. Wolpert and YoonKyung Cha and has published in prestigious journals such as Environmental Science & Technology, Ecology and The Science of The Total Environment.

In The Last Decade

Kenneth H. Reckhow

104 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth H. Reckhow United States 37 1.9k 1.6k 884 845 799 110 4.3k
Friedrich Recknagel Australia 29 1.0k 0.5× 851 0.5× 863 1.0× 555 0.7× 587 0.7× 104 2.6k
Craig A. Stow United States 49 2.1k 1.1× 2.7k 1.7× 821 0.9× 1.8k 2.2× 2.1k 2.7× 164 7.4k
Simon Langan United Kingdom 41 2.1k 1.1× 1.2k 0.8× 791 0.9× 478 0.6× 778 1.0× 136 4.7k
Matthew R. Hipsey Australia 35 1.6k 0.8× 1.1k 0.6× 648 0.7× 660 0.8× 1.1k 1.4× 150 3.9k
Barbara Robson Australia 27 971 0.5× 712 0.4× 610 0.7× 382 0.5× 1.0k 1.3× 91 3.3k
George B. Arhonditsis Canada 45 2.9k 1.6× 3.6k 2.2× 1.1k 1.3× 1.4k 1.7× 1.9k 2.3× 203 7.4k
Cayelan C. Carey United States 35 1.2k 0.6× 2.8k 1.7× 490 0.6× 920 1.1× 1.4k 1.8× 137 4.9k
Peter Goethals Belgium 48 2.1k 1.1× 740 0.5× 962 1.1× 2.8k 3.3× 3.6k 4.5× 366 7.9k
Lutz Breuer Germany 49 3.6k 1.9× 1.2k 0.8× 1.8k 2.1× 366 0.4× 1.4k 1.7× 255 7.7k
T. Meixner United States 40 2.8k 1.5× 1.2k 0.7× 1.5k 1.7× 443 0.5× 1.4k 1.7× 139 5.9k

Countries citing papers authored by Kenneth H. Reckhow

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Reckhow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth H. Reckhow. 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 Kenneth H. Reckhow. The network helps show where Kenneth H. Reckhow may publish in the future.

Co-authorship network of co-authors of Kenneth H. Reckhow

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth H. Reckhow. A scholar is included among the top collaborators of Kenneth H. Reckhow 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 Kenneth H. Reckhow. Kenneth H. Reckhow 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.
Lee, Boknam, et al.. (2018). An object-oriented Bayesian network approach for establishing swine manure-borne natural estrogenic compounds budget. The Science of The Total Environment. 639. 815–825. 2 indexed citations
2.
Lee, Boknam, Seth W. Kullman, Erin E. Yost, et al.. (2015). Predicting characteristics of rainfall driven estrogen runoff and transport from swine AFO spray fields. The Science of The Total Environment. 532. 571–580. 24 indexed citations
3.
Qian, Song S., et al.. (2014). A study of anthropogenic and climatic disturbance of the New River Estuary using a Bayesian belief network. Marine Pollution Bulletin. 83(1). 107–115. 13 indexed citations
4.
Money, Eric S., et al.. (2014). Validation and sensitivity of the FINE Bayesian network for forecasting aquatic exposure to nano-silver. The Science of The Total Environment. 473-474. 685–691. 24 indexed citations
5.
Houtven, George Van, Carol Mansfield, Daniel J. Phaneuf, et al.. (2014). Combining expert elicitation and stated preference methods to value ecosystem services from improved lake water quality. Ecological Economics. 99. 40–52. 61 indexed citations
6.
McMahon, Gerard, Thomas F. Cuffney, Song S. Qian, et al.. (2012). Linking urbanization to the Biological Condition Gradient (BCG) for stream ecosystems in the Northeastern United States using a Bayesian network approach. Scientific investigations report. 2 indexed citations
7.
Staley, Christopher, Kenneth H. Reckhow, Jerzy Łukasik, & Valerie J. Harwood. (2012). Assessment of sources of human pathogens and fecal contamination in a Florida freshwater lake. Water Research. 46(17). 5799–5812. 69 indexed citations
8.
Money, Eric S., Kenneth H. Reckhow, & Mark R. Wiesner. (2012). The use of Bayesian networks for nanoparticle risk forecasting: Model formulation and baseline evaluation. The Science of The Total Environment. 426. 436–445. 53 indexed citations
9.
Cha, YoonKyung, et al.. (2010). Phosphorus load estimation in the Saginaw River, MI using a Bayesian hierarchical/multilevel model. Water Research. 44(10). 3270–3282. 24 indexed citations
10.
Alameddine, Ibrahim, Song S. Qian, & Kenneth H. Reckhow. (2010). A Bayesian changepoint–threshold model to examine the effect of TMDL implementation on the flow–nitrogen concentration relationship in the Neuse River basin. Water Research. 45(1). 51–62. 31 indexed citations
11.
12.
Gronewold, Andrew D., Song S. Qian, Robert L. Wolpert, & Kenneth H. Reckhow. (2009). Calibrating and validating bacterial water quality models: A Bayesian approach. Water Research. 43(10). 2688–2698. 32 indexed citations
13.
Gronewold, Andrew D., Kenneth H. Reckhow, & Daniel A. Vallero. (2008). Improving Human and Ecological Exposure Assessments: A Bayesian Network Modeling Approach. Epidemiology. 19(6). 2 indexed citations
14.
Chen, Chin‐Der, Hwong‐wen Ma, & Kenneth H. Reckhow. (2007). Assessment of water quality management with a systematic qualitative uncertainty analysis. The Science of The Total Environment. 374(1). 13–25. 28 indexed citations
15.
Stow, Craig A., Kenneth H. Reckhow, & Song S. Qian. (2006). A BAYESIAN APPROACH TO RETRANSFORMATION BIAS IN TRANSFORMED REGRESSION. Ecology. 87(6). 1472–1477. 43 indexed citations
16.
Borsuk, Mark E., Craig A. Stow, & Kenneth H. Reckhow. (2003). A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. Ecological Modelling. 173(2-3). 219–239. 383 indexed citations
17.
Stow, Craig A., Mark E. Borsuk, & Kenneth H. Reckhow. (2002). Nitrogen TMDL Development in the Neuse River Watershed: An Imperative for Adaptive Management. OpenSIUC (Southern Illinois University Carbondale). 122(1). 4. 8 indexed citations
18.
Reckhow, Kenneth H.. (1999). Water quality prediction and probability network models. Canadian Journal of Fisheries and Aquatic Sciences. 56(7). 1150–1158. 139 indexed citations
19.
Stow, Craig A. & Kenneth H. Reckhow. (1994). Ecological Impacts of Excess Nutrients in the Environment: Issues, Management, and Decision Making.
20.
Reckhow, Kenneth H. & Steven C. Chapra. (1983). Confirmation of water quality models. Ecological Modelling. 20(2-3). 113–133. 49 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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