Peter Waller

2.5k total citations · 1 hit paper
59 papers, 1.7k citations indexed

About

Peter Waller is a scholar working on Soil Science, Plant Science and Global and Planetary Change. According to data from OpenAlex, Peter Waller has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Soil Science, 17 papers in Plant Science and 17 papers in Global and Planetary Change. Recurrent topics in Peter Waller's work include Irrigation Practices and Water Management (19 papers), Algal biology and biofuel production (15 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Peter Waller is often cited by papers focused on Irrigation Practices and Water Management (19 papers), Algal biology and biofuel production (15 papers) and Plant Water Relations and Carbon Dynamics (13 papers). Peter Waller collaborates with scholars based in United States, Egypt and Chile. Peter Waller's co-authors include Christopher Y. Choi, Edward M. Barnes, Muluneh Yitayew, Paul D. Colaizzi, Julio Haberland, Thomas R. Clarke, T. R. Clarke, Thomas Thompson, Robert J. Lascano and P. C. Robert and has published in prestigious journals such as Renewable Energy, Soil Science and Biomass and Bioenergy.

In The Last Decade

Peter Waller

57 papers receiving 1.6k citations

Hit Papers

Coincident detection of crop water stress, nitrogen statu... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Waller United States 17 809 632 430 413 329 59 1.7k
Weihua Guo China 25 603 0.7× 891 1.4× 132 0.3× 475 1.2× 500 1.5× 112 2.2k
R. H. Rust United States 15 764 0.9× 683 1.1× 611 1.4× 214 0.5× 255 0.8× 149 1.6k
Rômulo Simões Cézar Menezes Brazil 29 515 0.6× 702 1.1× 198 0.5× 623 1.5× 832 2.5× 192 2.7k
Vassilis Aschonitis Italy 20 318 0.4× 235 0.4× 248 0.6× 451 1.1× 203 0.6× 77 1.4k
Xiaoping Xin China 25 748 0.9× 452 0.7× 324 0.8× 406 1.0× 383 1.2× 112 1.9k
Qi Yang China 19 617 0.8× 552 0.9× 506 1.2× 265 0.6× 322 1.0× 58 1.5k
Aimrun Wayayok Malaysia 22 360 0.4× 689 1.1× 448 1.0× 401 1.0× 357 1.1× 145 1.8k
Bappa Das India 25 459 0.6× 733 1.2× 372 0.9× 402 1.0× 319 1.0× 114 1.9k
Binbin Li China 21 366 0.5× 236 0.4× 155 0.4× 329 0.8× 413 1.3× 109 1.4k
Raoul Lemeur Belgium 36 537 0.7× 2.0k 3.1× 270 0.6× 2.0k 4.8× 573 1.7× 119 3.9k

Countries citing papers authored by Peter Waller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Waller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Waller

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Waller. A scholar is included among the top collaborators of Peter Waller 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 Peter Waller. Peter Waller 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.
Attalah, Said, et al.. (2025). Simulating Water Use and Yield for Full and Deficit Flood-Irrigated Cotton in Arizona, USA. Agronomy. 15(9). 2023–2023. 2 indexed citations
2.
Attalah, Said, Peter Waller, Douglas J. Hunsaker, et al.. (2025). Evaluation and comparison of OpenET models for estimating soil water depletion of irrigated alfalfa in Arizona. Agricultural Water Management. 320. 109850–109850. 1 indexed citations
4.
Nie, Tangzhe, Peng Zhang, Jianfeng Li, et al.. (2024). Effects of Different Irrigation Management and Nitrogen Rate on Sorghum (Sorghum bicolor L.) Growth, Yield and Soil Nitrogen Accumulation with Drip Irrigation. Agronomy. 14(1). 215–215. 12 indexed citations
5.
Waller, Peter, Douglas J. Hunsaker, Kelly R. Thorp, et al.. (2023). Water Use, Growth, and Yield of Ratooned Guayule under Subsurface Drip and Furrow Irrigation in the US Southwest Desert. Water. 15(19). 3412–3412. 1 indexed citations
6.
Hunsaker, Douglas J., et al.. (2023). WINDS Model Demonstration with Field Data from a Furrow-Irrigated Cotton Experiment. Water. 15(8). 1544–1544. 1 indexed citations
7.
Waller, Peter, et al.. (2023). WINDS Model Simulation of Guayule Irrigation. Water. 15(19). 3500–3500. 2 indexed citations
8.
Attalah, Said, Peter Waller, Douglas J. Hunsaker, et al.. (2023). Guayule Germination and Growth under Subsurface Gravity Drip and Furrow Irrigation in Arizona. 1 indexed citations
9.
Waller, Peter, Douglas J. Hunsaker, David A. Dierig, et al.. (2021). Growth, water use, and crop coefficients of direct-seeded guayule with furrow and subsurface drip irrigation in Arizona. Industrial Crops and Products. 170. 113819–113819. 13 indexed citations
10.
Attalah, Said, et al.. (2019). Cost minimization of deoxygenation for control of Vampirovibrio chlorellavorus in Chlorella sorokiniana cultures. Algal Research. 42. 101615–101615. 4 indexed citations
11.
Gao, Song, et al.. (2018). Incorporation of salinity, nitrogen, and shading stress factors into the Huesemann Algae Biomass Growth model. Algal Research. 35. 462–470. 16 indexed citations
12.
Huesemann, Michael H., Braden Crowe, Peter Waller, et al.. (2015). A validated model to predict microalgae growth in outdoor pond cultures subjected to fluctuating light intensities and water temperatures. Algal Research. 13. 195–206. 145 indexed citations
13.
Hunsaker, D. J., Andrew N. French, Peter Waller, et al.. (2015). Comparison of traditional and ET-based irrigation scheduling of surface-irrigated cotton in the arid southwestern USA. Agricultural Water Management. 159. 209–224. 34 indexed citations
14.
Xu, Ben, Peiwen Li, & Peter Waller. (2013). Study of the flow mixing in a novel ARID raceway for algae production. Renewable Energy. 62. 249–257. 26 indexed citations
15.
Song, Inhong, et al.. (2007). Water Use Efficiency of Subsurface Drip Irrigation and Furrow Irrigation. Journal of The Korean Society of Agricultural Engineers. 49(2). 3–13. 1 indexed citations
16.
Waller, Peter, Julio Haberland, Paul D. Colaizzi, et al.. (2003). GROUNDBASED REMOTE SENSING OF WATER AND NITROGEN STRESS. Transactions of the ASAE. 46(1). 38 indexed citations
17.
Barnes, Edward M., T. R. Clarke, Paul D. Colaizzi, et al.. (2000). Coincident detection of crop water stress, nitrogen status and canopy density using ground-based multispectral data.. 1–15. 619 indexed citations breakdown →
18.
Yuan, Zengwei, Peter Waller, & Christopher Y. Choi. (1998). EFFECTS OF ORGANIC ACIDS ON SALT PRECIPITATION IN DRIP EMITTERS AND SOIL. Transactions of the ASAE. 41(6). 1689–1696. 18 indexed citations
19.
Waller, Peter & W. W. Wallender. (1991). Infiltration in surface irrigated swelling soils. Irrigation and Drainage Systems. 5(3). 249–266. 3 indexed citations
20.
Sadowski, Randall P., et al.. (1981). A constrained machine model for calculating effective production capacity. Computers & Industrial Engineering. 5(3). 173–182. 1 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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