Guy Fipps

967 total citations
66 papers, 764 citations indexed

About

Guy Fipps is a scholar working on Soil Science, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Guy Fipps has authored 66 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Soil Science, 15 papers in Civil and Structural Engineering and 15 papers in Environmental Engineering. Recurrent topics in Guy Fipps's work include Irrigation Practices and Water Management (26 papers), Water resources management and optimization (11 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Guy Fipps is often cited by papers focused on Irrigation Practices and Water Management (26 papers), Water resources management and optimization (11 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Guy Fipps collaborates with scholars based in United States, China and Türkiye. Guy Fipps's co-authors include Seydou Traoré, Yufeng Luo, R. W. Skaggs, John L. Nieber, Yufeng Luo, Lei Zhang, Yuanlai Cui, Xiyun Jiao, Yanbo Huang and Stephan J. Maas and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Crop Science.

In The Last Decade

Guy Fipps

57 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy Fipps United States 13 252 244 235 154 141 66 764
Shaoyuan Feng China 14 293 1.2× 311 1.3× 226 1.0× 97 0.6× 182 1.3× 21 759
Vassilis Z. Antonopoulos Greece 16 352 1.4× 307 1.3× 324 1.4× 97 0.6× 178 1.3× 27 931
Nebo Jovanovic South Africa 14 334 1.3× 390 1.6× 229 1.0× 61 0.4× 181 1.3× 50 830
Shih‐Kai Chen Taiwan 17 291 1.2× 101 0.4× 309 1.3× 145 0.9× 210 1.5× 32 787
Teferi Tsegaye United States 15 238 0.9× 159 0.7× 529 2.3× 235 1.5× 235 1.7× 43 1.0k
Ali Ashraf Sadraddini Iran 17 251 1.0× 476 2.0× 315 1.3× 177 1.1× 247 1.8× 39 869
Haorui Chen China 15 170 0.7× 120 0.5× 238 1.0× 157 1.0× 156 1.1× 53 635
Pantazis Georgiou Greece 15 277 1.1× 161 0.7× 166 0.7× 123 0.8× 123 0.9× 37 702
Ali Asghar Besalatpour Iran 16 189 0.8× 246 1.0× 218 0.9× 117 0.8× 300 2.1× 47 889
Mohammad Javad Zareian Iran 12 249 1.0× 352 1.4× 262 1.1× 56 0.4× 100 0.7× 28 748

Countries citing papers authored by Guy Fipps

Since Specialization
Citations

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

Fields of papers citing papers by Guy Fipps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Fipps

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Fipps. A scholar is included among the top collaborators of Guy Fipps 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 Guy Fipps. Guy Fipps 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.
Kapur, Burçak, et al.. (2023). THE ROLE OF MULCH COLOR AND IRRIGATION LEVEL IN REDUCING WATER STRESS IN STRAWBERRY. Applied Ecology and Environmental Research. 21(5). 4781–4794. 1 indexed citations
2.
Zhang, Lei, Jiankun Ge, Jiaqi Zhang, et al.. (2022). Evaluation of Five Equations for Short-Term Reference Evapotranspiration Forecasting Using Public Temperature Forecasts for North China Plain. Water. 14(18). 2888–2888. 9 indexed citations
3.
Wu, Xuemei, et al.. (2021). Improvement Design and Experiment of a Small Deep-placement Fertilizer Applicator. Engineering in Agriculture Environment and Food. 14(3). 73–79. 1 indexed citations
4.
Wu, Xuemei, et al.. (2019). Design and experiment of a fertilizer deep applicator for twin-row within one ridge.. A M A. Agricultural mechanization in Asia, Africa and Latin America. 50(4). 13–19. 1 indexed citations
5.
Zhang, Lei, Seydou Traoré, Jiankun Ge, et al.. (2019). Using boosted tree regression and artificial neural networks to forecast upland rice yield under climate change in Sahel. Computers and Electronics in Agriculture. 166. 105031–105031. 53 indexed citations
6.
Traoré, Seydou, Yufeng Luo, & Guy Fipps. (2017). Gene-Expression Programming for Short-Term Forecasting of Daily Reference Evapotranspiration Using Public Weather Forecast Information. Water Resources Management. 31(15). 4891–4908. 21 indexed citations
7.
Fipps, Guy, et al.. (2016). Methodology for quantifying impacts of urbanization on the water distribution networks of irrigation districts. Agricultural Water Management. 176. 270–279. 3 indexed citations
8.
Miller, G. R., et al.. (2015). Spatiotemporal Variability in Potential Evapotranspiration across an Urban Monitoring Network. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
9.
Luo, Yufeng, Seydou Traoré, Weiguang Wang, et al.. (2015). Medium Range Daily Reference Evapotranspiration Forecasting by Using ANN and Public Weather Forecasts. Water Resources Management. 29(10). 3863–3876. 45 indexed citations
10.
Traoré, Seydou, Yufeng Luo, & Guy Fipps. (2015). Deployment of artificial neural network for short-term forecasting of evapotranspiration using public weather forecast restricted messages. Agricultural Water Management. 163. 363–379. 96 indexed citations
11.
Luo, Yufeng, Ying Wang, Seydou Traoré, et al.. (2015). Forecasting daily reference evapotranspiration using the Blaney–Criddle model and temperature forecasts. Archives of Agronomy and Soil Science. 62(6). 790–805. 31 indexed citations
12.
Fipps, Guy, et al.. (2011). Measured Water Losses of Lateral A in Hidalgo County Irrigation District No. 2. OakTrust (Texas A&M University Libraries).
13.
Huang, Yanbo & Guy Fipps. (2009). Developing a modeling tool for flow profiling in irrigation distribution networks. International journal of agricultural and biological engineering. 2(3). 17–26. 2 indexed citations
14.
Fipps, Guy, et al.. (2008). Water Loss Test Results Main 'J' Canal Delta Lake Irrigation District. OakTrust (Texas A&M University Libraries). 1 indexed citations
15.
Fipps, Guy, et al.. (2008). Water Loss Test Results: West Main Canal United Irrigation District of Hidalgo County. OakTrust (Texas A&M University Libraries). 1 indexed citations
16.
Fipps, Guy, et al.. (2003). Irrigating Sorghum in South and South Central Texas. OakTrust (Texas A&M University Libraries). 4 indexed citations
17.
Fipps, Guy, et al.. (2002). Thermal Imaging of Canals for Remote Detection of Leaks: Evaluation in the United Irrigation District 1. OakTrust (Texas A&M University Libraries). 3 indexed citations
18.
Fipps, Guy, et al.. (1995). Irrigation Pumping Plant Energy Use and Potential Savings. Water resources engineering. 1723–1727. 1 indexed citations
19.
Fipps, Guy. (1995). Options for Saline Water Disposal - Irrigation Case Studies. Water resources engineering. 942–946. 1 indexed citations
20.
Fipps, Guy. (1995). Calculating Horsepower Requirements and Sizing Supply Pipelines for Irrigation. OakTrust (Texas A&M University Libraries). 2 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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