Reza Ehsani

8.4k total citations · 2 hit papers
178 papers, 5.9k citations indexed

About

Reza Ehsani is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Reza Ehsani has authored 178 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Plant Science, 41 papers in Analytical Chemistry and 40 papers in Ecology. Recurrent topics in Reza Ehsani's work include Smart Agriculture and AI (43 papers), Spectroscopy and Chemometric Analyses (40 papers) and Remote Sensing in Agriculture (37 papers). Reza Ehsani is often cited by papers focused on Smart Agriculture and AI (43 papers), Spectroscopy and Chemometric Analyses (40 papers) and Remote Sensing in Agriculture (37 papers). Reza Ehsani collaborates with scholars based in United States, China and Malaysia. Reza Ehsani's co-authors include Sindhuja Sankaran, Joe Mari Maja, Ashish Mishra, Cristina E. Davis, Lav R. Khot, Won Suk Lee, Edmund Schuster, L. Afsah‐Hejri, Arash Toudeshki and Parvaneh Hajeb and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Reza Ehsani

163 papers receiving 5.6k citations

Hit Papers

A review of advanced techniques for detecting plant diseases 2010 2026 2015 2020 2010 2012 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of advanced techniques for detecting plant diseases
    2010 915 citations Sindhuja Sankaran, Reza Ehsani et al. Computers and Electronics in Agriculture profile →
  2. Applications of nanomaterials in agricultural production and crop protection: A review
    2012 792 citations Sindhuja Sankaran, Reza Ehsani et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Ehsani United States 37 3.8k 1.5k 1.5k 692 518 178 5.9k
Chunjiang Zhao China 45 3.8k 1.0× 1.3k 0.9× 3.2k 2.1× 416 0.6× 154 0.3× 418 7.7k
Lav R. Khot United States 28 1.9k 0.5× 381 0.3× 936 0.6× 586 0.8× 498 1.0× 136 3.4k
Digvir S. Jayas Canada 53 4.8k 1.2× 3.1k 2.1× 414 0.3× 1.7k 2.4× 292 0.6× 368 10.5k
Huihui Zhang China 44 3.5k 0.9× 309 0.2× 1.3k 0.9× 358 0.5× 346 0.7× 276 6.4k
Tao Cheng China 52 3.6k 0.9× 1.4k 0.9× 4.9k 3.3× 332 0.5× 300 0.6× 257 8.5k
Jingcheng Zhang China 34 2.0k 0.5× 1.1k 0.7× 1.5k 1.0× 158 0.2× 163 0.3× 198 3.9k
Changying Li United States 42 3.3k 0.8× 1.2k 0.8× 962 0.6× 700 1.0× 33 0.1× 182 5.3k
Ian P. Thompson United Kingdom 48 1.1k 0.3× 300 0.2× 1.1k 0.8× 1.5k 2.1× 599 1.2× 142 6.6k
Chu Zhang China 47 2.4k 0.6× 3.8k 2.5× 871 0.6× 1.5k 2.1× 80 0.2× 226 6.5k
Kerry B. Walsh Australia 47 4.4k 1.1× 2.8k 1.9× 742 0.5× 789 1.1× 47 0.1× 236 7.3k

Countries citing papers authored by Reza Ehsani

Since Specialization
Citations

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

Fields of papers citing papers by Reza Ehsani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Ehsani

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Ehsani. A scholar is included among the top collaborators of Reza Ehsani 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 Reza Ehsani. Reza Ehsani 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.
2.
Carpin, Stefano, et al.. (2025). A practical data-driven approach for precise stem water potential monitoring in pistachio and almond orchards using supervised machine learning algorithms. Computers and Electronics in Agriculture. 231. 110004–110004. 3 indexed citations
3.
Rad, Mohammad Amin Vaziri, et al.. (2025). Techno-economic analysis of mobile agrivoltaic systems leveraging excess power to hydrogen (case study: Strawberry field in California USA). Energy Reports. 13. 5579–5598. 4 indexed citations
4.
Kim, Woo Young, et al.. (2024). Improved voxel-based volume estimation and pruning severity mapping of apple trees during the pruning period. Computers and Electronics in Agriculture. 219. 108834–108834. 7 indexed citations
5.
6.
Toudeshki, Arash, et al.. (2024). Evaluation of Neural Network Effectiveness on Sliding Mode Control of Delta Robot for Trajectory Tracking. Algorithms. 17(3). 113–113. 5 indexed citations
7.
Sun, Jian‐Qiao, et al.. (2024). Predictive Neural Network Modeling for Almond Harvest Dust Control. Sensors. 24(7). 2136–2136. 3 indexed citations
8.
Castro, Ricardo de, et al.. (2024). Unlocking the potential of electric and hybrid tractors via sensitivity and techno-economic analysis. Applied Energy. 377. 124545–124545. 3 indexed citations
9.
Niu, Haoyu, Dong Wang, Reza Ehsani, & YangQuan Chen. (2023). Scale-Aware Pomegranate Yield Prediction Using UAV Imagery and Machine Learning. Journal of the ASABE. 66(5). 1331–1340. 3 indexed citations
10.
Toudeshki, Arash, et al.. (2023). Simultaneous Trunk and Canopy Shaking Improves Table Olive Harvester Efficiency versus Trunk Shaking Alone. Horticulturae. 9(6). 640–640. 6 indexed citations
11.
Toudeshki, Arash, et al.. (2023). Data-Driven Inverse Kinematics Approximation of a Delta Robot with Stepper Motors. Robotics. 12(5). 135–135. 3 indexed citations
12.
Sun, Jian‐Qiao, et al.. (2023). Design of an Integrated Controller for a Sweeping Mechanism of a Low-Dust Almond Pickup Machine. Sensors. 23(4). 2046–2046. 2 indexed citations
13.
Afsah‐Hejri, L., Jared O’Leary, Jered V. McGivern, et al.. (2023). Identification of volatile organic compounds (VOCs) by SPME-GC-MS to detect Aspergillus flavus infection in pistachios. Food Control. 154. 110033–110033. 17 indexed citations
14.
Toudeshki, Arash, et al.. (2018). Potential Sources of Errors in Estimating Plant Sap Flow Using Commercial Thermal Dissipation Probes. Applied Engineering in Agriculture. 34(6). 899–906. 3 indexed citations
15.
Toudeshki, Arash, et al.. (2018). Selection and experimental evaluation of shaking rods of canopy shaker to reduce tree damage for citrus mechanical harvesting. International journal of agricultural and biological engineering. 11(2). 48–54. 5 indexed citations
16.
17.
Mansor, Shattri, et al.. (2014). Mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm. Computers and Electronics in Agriculture. 101. 48–54. 53 indexed citations
18.
Ehsani, Reza, et al.. (2008). A Measurement System for Quantifying Citrus Foliage Volume and Porosity. DergiPark (Istanbul University). 4(4). 333–338. 1 indexed citations
19.
Ling, Peter P., et al.. (2005). Sensing and end-effector for a robotic tomato harvester. 12(7). 13–14. 3 indexed citations
20.
Ehsani, Reza, et al.. (2003). A sensor for rapid estimation of plant biomass.. 1030–1037. 8 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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