James G. Uber

3.7k total citations
94 papers, 2.3k citations indexed

About

James G. Uber is a scholar working on Civil and Structural Engineering, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, James G. Uber has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Civil and Structural Engineering, 50 papers in Health, Toxicology and Mutagenesis and 40 papers in Environmental Engineering. Recurrent topics in James G. Uber's work include Water Systems and Optimization (73 papers), Water Treatment and Disinfection (49 papers) and Urban Stormwater Management Solutions (23 papers). James G. Uber is often cited by papers focused on Water Systems and Optimization (73 papers), Water Treatment and Disinfection (49 papers) and Urban Stormwater Management Solutions (23 papers). James G. Uber collaborates with scholars based in United States, Ghana and United Kingdom. James G. Uber's co-authors include Feng Shang, Dominic L. Boccelli, Michael E. Tryby, Marios M. Polycarpou, Lewis A. Rossman, Marco Propato, Robert Janke, Jonathan W. Berry, William E. Hart and Regan Murray and has published in prestigious journals such as Environmental Science & Technology, Water Research and Water Resources Research.

In The Last Decade

James G. Uber

91 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James G. Uber United States 24 1.8k 1.2k 822 592 566 94 2.3k
Lewis A. Rossman United States 21 1.8k 1.0× 1.2k 1.0× 1.0k 1.3× 688 1.2× 504 0.9× 50 2.5k
Walter M. Grayman United States 24 1.8k 1.0× 1.1k 0.9× 882 1.1× 639 1.1× 461 0.8× 78 2.3k
Thomas M. Walski United States 27 2.9k 1.6× 878 0.7× 1.1k 1.3× 562 0.9× 973 1.7× 145 3.3k
Godfrey A. Walters United Kingdom 23 2.5k 1.4× 574 0.5× 1.0k 1.3× 644 1.1× 1.2k 2.1× 46 3.1k
Yehuda Kleiner Canada 27 2.4k 1.3× 564 0.5× 579 0.7× 258 0.4× 568 1.0× 55 2.9k
I. C. Goulter Canada 25 2.1k 1.2× 787 0.6× 695 0.8× 395 0.7× 706 1.2× 92 2.4k
Luigi Berardi Italy 23 1.3k 0.7× 313 0.3× 473 0.6× 318 0.5× 361 0.6× 96 1.6k
Massoud Tabesh Iran 29 1.5k 0.8× 386 0.3× 655 0.8× 484 0.8× 674 1.2× 107 2.3k
Paul F. Boulos United States 22 1.3k 0.7× 606 0.5× 559 0.7× 313 0.5× 300 0.5× 63 1.6k
Enrico Creaco Italy 32 2.4k 1.3× 581 0.5× 842 1.0× 868 1.5× 816 1.4× 166 3.1k

Countries citing papers authored by James G. Uber

Since Specialization
Citations

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

Fields of papers citing papers by James G. Uber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Uber. 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 James G. Uber. The network helps show where James G. Uber may publish in the future.

Co-authorship network of co-authors of James G. Uber

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Uber. A scholar is included among the top collaborators of James G. Uber 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 James G. Uber. James G. Uber 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.
Haxton, Terranna & James G. Uber. (2011). Flushing under Source Uncertainties. 604–612. 8 indexed citations
3.
Uber, James G., et al.. (2011). NetSafe-Enhanced Water Distribution Network Safety through Predictive Simulation Software. 559–567. 1 indexed citations
4.
Minai, Ali A., et al.. (2010). A multi-agent model for the co-evolution of ideas and communities. 3. 1–8. 4 indexed citations
5.
Uber, James G., et al.. (2009). Simple Model of Attachment and Detachment of Pathogens in Water Distribution System Biofilms. World Environmental and Water Resources Congress 2009. 1–13. 11 indexed citations
6.
Uber, James G., et al.. (2009). Real-Time Implementation of Contamination Source Identification Method for Water Distribution Systems. World Environmental and Water Resources Congress 2009. 129. 1–10. 1 indexed citations
7.
Murray, Regan, William E. Hart, Cynthia A. Phillips, et al.. (2009). US Environmental Protection Agency Uses Operations Research to Reduce Contamination Risks in Drinking Water. INFORMS Journal on Applied Analytics. 39(1). 57–68. 17 indexed citations
8.
Uber, James G., et al.. (2008). Performance Evaluation of Real-Time Event Detection Algorithms. 1–14. 5 indexed citations
9.
Zechman, Emily M., E. Downey Brill, G. Mahinthakumar, S. Ranji Ranjithan, & James G. Uber. (2008). Addressing Non-uniqueness in a Water Distribution Contaminant Source Identification Problem. 1–11. 3 indexed citations
10.
Moe, Christine L., et al.. (2008). Assessment of Microbiological Water Quality after Low Pressure Events in a Distribution System. 1–11. 9 indexed citations
11.
Kumar, Jitendra, E. Downey Brill, S. Ranji Ranjithan, G. Mahinthakumar, & James G. Uber. (2008). Source Identification for Contamination Events Involving Reactive Contaminants. World Environmental and Water Resources Congress 2008. 131. 1–7. 3 indexed citations
12.
Lansey, Kevin, et al.. (2007). Locating Satellite Booster Disinfectant Stations. Journal of Water Resources Planning and Management. 133(4). 372–376. 43 indexed citations
13.
Tinker, Sarah C., Paige E. Tolbert, Christine L. Moe, et al.. (2006). Drinking Water Quality and Emergency Department Visits for Gastrointestinal Illness, 1993–2004. Epidemiology. 17(Suppl). S330–S331. 1 indexed citations
14.
Uber, James G., Regan Murray, & Robert Janke. (2004). Use of Systems Analysis to Assess and Minimize Water Security Risks. Journal of Contemporary Water Research & Education. 129(1). 34–40. 11 indexed citations
15.
Propato, Marco & James G. Uber. (2004). Vulnerability of Water Distribution Systems to Pathogen Intrusion:  How Effective Is a Disinfectant Residual?. Environmental Science & Technology. 38(13). 3713–3722. 82 indexed citations
16.
Boccelli, Dominic L., Michael E. Tryby, James G. Uber, & R. Scott Summers. (2003). A reactive species model for chlorine decay and THM formation under rechlorination conditions. Water Research. 37(11). 2654–2666. 163 indexed citations
17.
Uber, James G., et al.. (1998). Optimal Decoupling of Booster Disinfection Systems in Water Distribution Networks. 297–302. 4 indexed citations
18.
Boccelli, Dominic L., Michael E. Tryby, James G. Uber, & Lewis A. Rossman. (1998). Optimal Location of Booster Disinfection Stations for Residual Maintenance. 266–271. 2 indexed citations
19.
Boccelli, Dominic L., et al.. (1998). Optimal Scheduling of Booster Disinfection in Water Distribution Systems. Journal of Water Resources Planning and Management. 124(2). 99–111. 187 indexed citations
20.
Uber, James G. & E. Downey Brill. (1990). DESIGN OPTIMIZATION WITH SENSITIVITY CONSTRAINTS. Engineering Optimization. 16(1). 15–28. 6 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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