Tsz Him Lo

452 total citations
29 papers, 327 citations indexed

About

Tsz Him Lo is a scholar working on Soil Science, Plant Science and Environmental Engineering. According to data from OpenAlex, Tsz Him Lo has authored 29 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Soil Science, 12 papers in Plant Science and 10 papers in Environmental Engineering. Recurrent topics in Tsz Him Lo's work include Irrigation Practices and Water Management (21 papers), Soil and Unsaturated Flow (9 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Tsz Him Lo is often cited by papers focused on Irrigation Practices and Water Management (21 papers), Soil and Unsaturated Flow (9 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Tsz Him Lo collaborates with scholars based in United States, Spain and Uganda. Tsz Him Lo's co-authors include Daran R. Rudnick, Derek M. Heeren, Derrel L. Martin, Joe D. Luck, Charles Burr, Trenton E. Franz, Rodrigo Werle, Kendall C. DeJonge, Xin Qiao and Luciano Mateos and has published in prestigious journals such as Soil Science Society of America Journal, Computers and Electronics in Agriculture and Agricultural Water Management.

In The Last Decade

Tsz Him Lo

27 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsz Him Lo United States 12 167 136 123 85 78 29 327
Manuel A. Andrade United States 12 250 1.5× 197 1.4× 122 1.0× 124 1.5× 76 1.0× 31 422
Nasrin Azad Iran 10 109 0.7× 104 0.8× 87 0.7× 63 0.7× 75 1.0× 19 325
Evangelos Hatzigiannakis Greece 9 125 0.7× 121 0.9× 61 0.5× 92 1.1× 71 0.9× 28 348
Alessandro Vittorio Vonella Italy 12 158 0.9× 176 1.3× 97 0.8× 56 0.7× 69 0.9× 26 410
Ángel Utset Spain 9 156 0.9× 79 0.6× 136 1.1× 129 1.5× 93 1.2× 14 347
L. R. Parsons United States 11 196 1.2× 169 1.2× 147 1.2× 69 0.8× 126 1.6× 20 398
Md. Sadiqul Amin Bangladesh 13 121 0.7× 152 1.1× 143 1.2× 39 0.5× 99 1.3× 42 414
Marjan Aziz Pakistan 9 62 0.4× 111 0.8× 110 0.9× 84 1.0× 34 0.4× 18 318
Rebecca Tirado‐Corbalá United States 12 126 0.8× 149 1.1× 43 0.3× 92 1.1× 78 1.0× 26 361
Nader Pirmoradian Iran 10 165 1.0× 158 1.2× 41 0.3× 51 0.6× 53 0.7× 23 323

Countries citing papers authored by Tsz Him Lo

Since Specialization
Citations

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

Fields of papers citing papers by Tsz Him Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsz Him Lo. 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 Tsz Him Lo. The network helps show where Tsz Him Lo may publish in the future.

Co-authorship network of co-authors of Tsz Him Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Tsz Him Lo. A scholar is included among the top collaborators of Tsz Him Lo 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 Tsz Him Lo. Tsz Him Lo 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.
Lo, Tsz Him, et al.. (2024). Metrics for Evaluating Interreplicate Variability of Irrigation Scheduling Sensors. Journal of the ASABE. 67(1). 115–126. 1 indexed citations
2.
3.
Lo, Tsz Him, et al.. (2023). Effects of conservation practices on rainfed maize yield, furrow water infiltration, and soil moisture for surface sealing loam soils in the Yazoo‐Mississippi Delta. Soil Science Society of America Journal. 87(6). 1485–1497. 1 indexed citations
4.
Rudnick, Daran R., et al.. (2023). Weather data-centric prediction of maize non-stressed canopy temperature in semi-arid climates for irrigation management. Irrigation Science. 42(2). 229–248. 1 indexed citations
5.
Rudnick, Daran R., et al.. (2022). Crop water stress index computation approaches and their sensitivity to soil water dynamics. Agricultural Water Management. 266. 107575–107575. 54 indexed citations
6.
Rudnick, Daran R., Kendall C. DeJonge, Tsz Him Lo, et al.. (2022). Real-Time Irrigation Scheduling of Maize Using Degrees Above Non-Stressed (Dans) Index in Semi-Arid Environment. SSRN Electronic Journal. 1 indexed citations
7.
Lo, Tsz Him, et al.. (2022). Effects of low-till parabolic subsoiling frequency and furrow irrigation frequency on maize in the Yazoo-Mississippi Delta. Agricultural Water Management. 274. 107945–107945. 4 indexed citations
8.
Singh, Bhupinder, et al.. (2022). Row spacing and irrigation management affect soybean yield, water use efficiency and economics. Agricultural Water Management. 277. 108087–108087. 11 indexed citations
9.
Lo, Tsz Him & H. C. Pringle. (2021). A Quantitative Review of Irrigation Development in the Yazoo–Mississippi Delta from 1991 to 2020. Agronomy. 11(12). 2548–2548. 8 indexed citations
10.
Lo, Tsz Him, Daran R. Rudnick, Kendall C. DeJonge, et al.. (2020). Differences in soil water changes and canopy temperature under varying water × nitrogen sufficiency for maize. Irrigation Science. 38(5-6). 519–534. 14 indexed citations
11.
Lo, Tsz Him, H. C. Pringle, Daran R. Rudnick, et al.. (2020). Within-Field Variability in Granular Matrix Sensor Data and its Implications for Irrigation Scheduling. Applied Engineering in Agriculture. 36(4). 437–449. 4 indexed citations
12.
Lo, Tsz Him, et al.. (2020). Field assessment of interreplicate variability from eight electromagnetic soil moisture sensors. Agricultural Water Management. 231. 105984–105984. 16 indexed citations
13.
Lo, Tsz Him, Daran R. Rudnick, & Tim M. Shaver. (2019). Variable-Rate Chemigation via Center Pivots. Journal of Irrigation and Drainage Engineering. 145(7). 1 indexed citations
14.
Lo, Tsz Him, et al.. (2018). Approaches to evaluating grower irrigation and fertilizer nitrogen amount and timing. Agricultural Water Management. 213. 693–706. 15 indexed citations
15.
Rudnick, Daran R., Tsz Him Lo, Rodrigo Werle, et al.. (2018). Reply to comments on “Performance assessment of factory and field calibrations for electromagnetic sensors in a loam soil”. Agricultural Water Management. 203. 272–276. 6 indexed citations
16.
Lo, Tsz Him, Derek M. Heeren, Luciano Mateos, et al.. (2017). Field Characterization of Field Capacity and Root Zone Available Water Capacity for Variable Rate Irrigation. Applied Engineering in Agriculture. 33(4). 559–572. 32 indexed citations
17.
Luck, Joe D., et al.. (2017). A geospatial variable rate irrigation control scenario evaluation methodology based on mining root zone available water capacity. Precision Agriculture. 19(4). 666–683. 19 indexed citations
18.
Kranz, William L., et al.. (2017). Energy Conservation Using Variable-Frequency Drives for Center-Pivot Irrigation: Standard Systems. Transactions of the ASABE. 60(1). 95–106. 15 indexed citations
19.
Lo, Tsz Him, Derek M. Heeren, Luciano Mateos, et al.. (2015). Potential Irrigation Reductions From Increasing Precipitation Utilization With Variable Rate Irrigation. Insecta mundi. 1–11. 1 indexed citations
20.
Lo, Tsz Him. (2015). Quantification of Variable Rate Irrigation Benefits and Spatial Variability in Root Zone Water Holding Capacity. Insecta mundi. 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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