Dana Porter

1.6k total citations
64 papers, 1000 citations indexed

About

Dana Porter is a scholar working on Plant Science, Soil Science and Global and Planetary Change. According to data from OpenAlex, Dana Porter has authored 64 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 27 papers in Soil Science and 27 papers in Global and Planetary Change. Recurrent topics in Dana Porter's work include Irrigation Practices and Water Management (27 papers), Plant Water Relations and Carbon Dynamics (23 papers) and Greenhouse Technology and Climate Control (12 papers). Dana Porter is often cited by papers focused on Irrigation Practices and Water Management (27 papers), Plant Water Relations and Carbon Dynamics (23 papers) and Greenhouse Technology and Climate Control (12 papers). Dana Porter collaborates with scholars based in United States, China and Australia. Dana Porter's co-authors include Prasanna H. Gowda, T. H. Marek, Paul D. Colaizzi, Thomas Marek, James P. Bordovsky, Jerry E. Moorhead, Gary W. Marek, David Bräuer, Juan Enciso and Terry A. Howell and has published in prestigious journals such as Journal of Hydrology, Sensors and Agricultural and Forest Meteorology.

In The Last Decade

Dana Porter

60 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Porter United States 19 431 402 388 243 157 64 1000
Daniele Zaccaria United States 14 351 0.8× 438 1.1× 360 0.9× 246 1.0× 164 1.0× 44 1.2k
Manoj Khanna India 19 325 0.8× 335 0.8× 315 0.8× 305 1.3× 233 1.5× 80 997
Xiyun Jiao China 18 235 0.5× 503 1.3× 455 1.2× 208 0.9× 100 0.6× 34 997
Hongna Lu China 8 284 0.7× 313 0.8× 293 0.8× 316 1.3× 127 0.8× 12 850
G. C. Rodrigues Portugal 17 684 1.6× 711 1.8× 446 1.1× 213 0.9× 123 0.8× 41 1.2k
А. Ирмак United States 17 593 1.4× 261 0.6× 326 0.8× 229 0.9× 156 1.0× 29 926
Dorota Z. Haman United States 17 414 1.0× 503 1.3× 471 1.2× 129 0.5× 174 1.1× 76 1.1k
Shahrokh Zand‐Parsa Iran 20 612 1.4× 316 0.8× 409 1.1× 220 0.9× 263 1.7× 70 1.2k
Khaled M. Bali United States 15 281 0.7× 296 0.7× 218 0.6× 174 0.7× 162 1.0× 47 800
Saleh Taghvaeian United States 21 568 1.3× 480 1.2× 447 1.2× 276 1.1× 260 1.7× 69 1.2k

Countries citing papers authored by Dana Porter

Since Specialization
Citations

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

Fields of papers citing papers by Dana Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Porter

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Porter. A scholar is included among the top collaborators of Dana Porter 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 Dana Porter. Dana Porter 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.
Marek, Gary W., Steven R. Evett, Thomas Marek, Dana Porter, & Robert C. Schwartz. (2023). Field Evaluation of Conventional and Downhole TDR Soil Water Sensors for Irrigation Scheduling in a Clay Loam Soil. Applied Engineering in Agriculture. 39(5). 495–507. 1 indexed citations
2.
Schipanski, Meagan E., Matthew R. Sanderson, Amy Kremen, et al.. (2023). Moving from measurement to governance of shared groundwater resources. Nature Water. 1(1). 30–36. 22 indexed citations
3.
Li, Baogui, Gary W. Marek, Thomas Marek, et al.. (2023). Impacts of Ongoing Land-Use Change on Watershed Hydrology and Crop Production Using an Improved SWAT Model. Land. 12(3). 591–591. 4 indexed citations
4.
Chen, Yong, Gary W. Marek, Thomas Marek, et al.. (2020). Spatio-Temporal Analysis of Historical and Future Climate Data in the Texas High Plains. Sustainability. 12(15). 6036–6036. 3 indexed citations
5.
Porter, Dana & Thomas Marek. (2020). Irrigation management with saline water. Digital Collections of Colorado (Colorado State University). 4 indexed citations
6.
Marek, Thomas, Dana Porter, Terry A. Howell, Gary W. Marek, & David Bräuer. (2020). The Impact and Value of Accurate Evapotranspiration Networks in Texas High Plains Production Agriculture. Applied Engineering in Agriculture. 36(4). 451–455. 6 indexed citations
7.
Yong, Chen, Gary W. Marek, Thomas Marek, et al.. (2020). Watershed scale evaluation of an improved SWAT auto-irrigation function. Environmental Modelling & Software. 131. 104789–104789. 14 indexed citations
8.
Yang, Yanxiang, et al.. (2020). Deep Reinforcement Learning-Based Irrigation Scheduling. Transactions of the ASABE. 63(3). 549–556. 26 indexed citations
9.
Barnes, Edward M., George Vellidis, José O. Payero, et al.. (2020). Forty Years of Increasing Cotton’s Water Productivity and Why the Trend Will Continue. Applied Engineering in Agriculture. 36(4). 457–478. 14 indexed citations
10.
Yang, Yanxiang, et al.. (2017). Reinforcement Learning Control for Water-Efficient Agricultural Irrigation. 1334–1341. 28 indexed citations
11.
Gowda, Prasanna H., Terry A. Howell, R. Louis Baumhardt, et al.. (2016). A User-Friendly Interactive Tool for Estimating Reference ET Using ASCE Standardized Penman-Monteith Equation. Applied Engineering in Agriculture. 32(3). 383–390. 7 indexed citations
12.
Gowda, Prasanna H., Terry A. Howell, José L. Chávez, et al.. (2015). A Decade of Remote Sensing and Evapotranspiration Research at USDA-ARS Conservation and Production Research Laboratory. 1–16. 1 indexed citations
13.
Sridharan, Mohan, Prasanna H. Gowda, Dana Porter, et al.. (2014). Gaussian process models for reference ET estimation from alternative meteorological data sources. Journal of Hydrology. 517. 28–35. 23 indexed citations
14.
Sridharan, Mohan, Prasanna H. Gowda, Dana Porter, et al.. (2013). Estimating reference evapotranspiration for irrigation management in the texas high plains. International Joint Conference on Artificial Intelligence. 2819–2825. 2 indexed citations
15.
Moorhead, Jerry E., Prasanna H. Gowda, Thomas Marek, et al.. (2013). Use Of Crop-Specific Drought Indices for Determining Irrigation Demand in the Texas High Plains. Applied Engineering in Agriculture. 905–916. 8 indexed citations
16.
Porter, Dana, Prasanna H. Gowda, T. H. Marek, et al.. (2012). Sensitivity of Grass- and Alfalfa-Reference Evapotranspiration to Weather Station Sensor Accuracy. Applied Engineering in Agriculture. 28(4). 543–549. 26 indexed citations
17.
Gowda, Prasanna H., et al.. (2011). Spatial Interpolation of Daily Reference Evapotranspiration in the Texas High Plains. World Environmental and Water Resources Congress 2011. 17. 2796–2804. 5 indexed citations
18.
Marek, Thomas, et al.. (2010). Crop Coefficient Development and Application to an Evapotranspiration Network. 2 indexed citations
19.
Porter, Dana, Danny H. Rogers, Thomas Marek, et al.. (2010). Technology Transfer: Promoting Irrigation Progress and Best Management Practices.
20.
Wheeler, Terry A., Carrie R. Howell, Jon Cotton, & Dana Porter. (2005). Pythium Species Associated with Pod Rot on West Texas Peanuts andIn VitroSensitivity of Isolates to Mefenoxam and Azoxystrobin1. Peanut Science. 32(1). 9–13. 17 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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