James Phillip King

510 total citations
13 papers, 396 citations indexed

About

James Phillip King is a scholar working on Water Science and Technology, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, James Phillip King has authored 13 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 6 papers in Environmental Engineering and 5 papers in Ocean Engineering. Recurrent topics in James Phillip King's work include Hydrology and Watershed Management Studies (8 papers), Hydrological Forecasting Using AI (5 papers) and Water resources management and optimization (5 papers). James Phillip King is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Hydrological Forecasting Using AI (5 papers) and Water resources management and optimization (5 papers). James Phillip King collaborates with scholars based in United States, China and Kenya. James Phillip King's co-authors include Shalamu Abudu, Hamed Zamanisabzi, Charlotte C. Gard, Kenneth C. Carroll, Zhuping Sheng, Leili Soltanisehat and Reza Alizadeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Expert Systems with Applications.

In The Last Decade

James Phillip King

13 papers receiving 388 citations

Peers

James Phillip King
Lihua Feng China
Baohui Men China
Komaragiri Srinivasa Raju India
Hessam Najafi Iran
Jing Shen China
Qiang Zou China
Bahaa Elboshy Egypt
Babak Alizadeh United States
Saif Said India
Jun Xia China
Lihua Feng China
James Phillip King
Citations per year, relative to James Phillip King James Phillip King (= 1×) peers Lihua Feng

Countries citing papers authored by James Phillip King

Since Specialization
Citations

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

Fields of papers citing papers by James Phillip King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Phillip King

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

All Works

13 of 13 papers shown
1.
King, James Phillip, et al.. (2019). Quantifying Disconnection of Groundwater From Managed‐Ephemeral Surface Water During Drought and Conjunctive Agricultural Use. Water Resources Research. 55(7). 5871–5890. 36 indexed citations
2.
Zamanisabzi, Hamed, et al.. (2018). Developing an ANN Based Streamflow Forecast Model Utilizing Data-Mining Techniques to Improve Reservoir Streamflow Prediction Accuracy: A Case Study. Civil Engineering Journal. 4(5). 1135–1156. 15 indexed citations
3.
Abudu, Shalamu, et al.. (2018). Integration of time series forecasting in a dynamic decision support system for multiple reservoir management to conserve water sources. Energy Sources Part A Recovery Utilization and Environmental Effects. 40(11). 1398–1416. 22 indexed citations
4.
Abudu, Shalamu, et al.. (2018). Drought Scenario Analysis Using RiverWare: A Case Study in Urumqi River Basin, China. Civil Engineering Journal. 4(8). 1837–1850. 9 indexed citations
5.
Zamanisabzi, Hamed, et al.. (2017). Developing an intelligent expert system for streamflow prediction, integrated in a dynamic decision support system for managing multiple reservoirs: A case study. Expert Systems with Applications. 83. 145–163. 42 indexed citations
6.
Zamanisabzi, Hamed, et al.. (2016). Statistical and analytical comparison of multi-criteria decision-making techniques under fuzzy environment. Operations Research Perspectives. 3. 92–117. 76 indexed citations
7.
Abudu, Shalamu, et al.. (2016). Integration of aspect and slope in snowmelt runoff modeling in a mountain watershed. Water Science and Engineering. 9(4). 265–273. 24 indexed citations
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Abudu, Shalamu, et al.. (2012). Application of snowmelt runoff model (SRM) in mountainous watersheds: A review. SHILAP Revista de lepidopterología. 48 indexed citations
12.
Abudu, Shalamu, et al.. (2011). Vitality of ancient karez systems in arid lands: a case study in Turpan region of China. Water History. 3(3). 213–225. 16 indexed citations
13.
Abudu, Shalamu, et al.. (2010). Comparison of performance of statistical models in forecasting monthly streamflow of Kizil River, China. SHILAP Revista de lepidopterología. 51 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