Ehsan Zare

525 total citations
24 papers, 419 citations indexed

About

Ehsan Zare is a scholar working on Environmental Engineering, Geophysics and Civil and Structural Engineering. According to data from OpenAlex, Ehsan Zare has authored 24 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Environmental Engineering, 11 papers in Geophysics and 10 papers in Civil and Structural Engineering. Recurrent topics in Ehsan Zare's work include Soil Geostatistics and Mapping (21 papers), Geophysical and Geoelectrical Methods (11 papers) and Soil and Unsaturated Flow (10 papers). Ehsan Zare is often cited by papers focused on Soil Geostatistics and Mapping (21 papers), Geophysical and Geoelectrical Methods (11 papers) and Soil and Unsaturated Flow (10 papers). Ehsan Zare collaborates with scholars based in Australia, New Zealand and Iran. Ehsan Zare's co-authors include John Triantafilis, Jingyi Huang, Dongxue Zhao, Nan Li, Jie Wang, Fernando A. Monteiro Santos, Xueyu Zhao, R. S. Malik, Maryem Arshad and Triven Koganti and has published in prestigious journals such as Soil Science Society of America Journal, Journal of Environmental Management and Sensors.

In The Last Decade

Ehsan Zare

24 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Zare Australia 14 307 115 98 76 66 24 419
Sam Buchanan Australia 8 281 0.9× 118 1.0× 63 0.6× 93 1.2× 46 0.7× 12 329
D. Sollitto Italy 11 286 0.9× 33 0.3× 51 0.5× 127 1.7× 72 1.1× 12 503
Yusuf Demir Türkiye 9 189 0.6× 19 0.2× 90 0.9× 48 0.6× 38 0.6× 18 363
Graham Gaskin United Kingdom 5 229 0.7× 26 0.2× 114 1.2× 16 0.2× 57 0.9× 8 342
Heidi Christiansen Barlebo Denmark 7 143 0.5× 46 0.4× 47 0.5× 32 0.4× 16 0.2× 9 431
James D. Rhoades United States 9 387 1.3× 85 0.7× 236 2.4× 59 0.8× 185 2.8× 11 691
Gengxin Ou United States 11 213 0.7× 15 0.1× 49 0.5× 16 0.2× 23 0.3× 19 386
Eduardo Usunoff Argentina 9 215 0.7× 20 0.2× 49 0.5× 52 0.7× 23 0.3× 31 358
I. Esfandiarpour-Boroujeni Iran 12 129 0.4× 15 0.1× 46 0.5× 56 0.7× 86 1.3× 29 330

Countries citing papers authored by Ehsan Zare

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Zare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Zare

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Zare. A scholar is included among the top collaborators of Ehsan Zare 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 Ehsan Zare. Ehsan Zare 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.
Li, Nan, et al.. (2023). Improved prediction of soil exchangeable sodium percentage (ESP) using wavelet. Computers and Electronics in Agriculture. 209. 107810–107810. 1 indexed citations
2.
Asadzadeh, Farrokh, et al.. (2022). Digital mapping of soil erodibility factor in northwestern Iran using machine learning models. Environmental Monitoring and Assessment. 194(5). 387–387. 11 indexed citations
3.
Wang, Jie, Dongxue Zhao, Ehsan Zare, Michael V. Sefton, & John Triantafilis. (2022). Unravelling drivers of field-scale digital mapping of topsoil organic carbon and its implications for nitrogen practices. Computers and Electronics in Agriculture. 193. 106640–106640. 13 indexed citations
4.
Zare, Ehsan, et al.. (2021). Optimization of antioxidant extraction process from corn meal using pulsed electric field‐subcritical water. Journal of Food Processing and Preservation. 45(6). 13 indexed citations
5.
Zare, Ehsan, et al.. (2021). Scope to map available water content using proximal sensed electromagnetic induction and gamma-ray spectrometry data. Agricultural Water Management. 247. 106705–106705. 14 indexed citations
6.
Zare, Ehsan, et al.. (2021). Digital soil mapping of soil salinity using EM38 and quasi‐3d modelling software (EM4Soil). Soil Use and Management. 38(1). 277–291. 16 indexed citations
7.
8.
9.
Zhao, Dongxue, Nan Li, Ehsan Zare, Jie Wang, & John Triantafilis. (2020). Mapping cation exchange capacity using a quasi-3d joint inversion of EM38 and EM31 data. Soil and Tillage Research. 200. 104618–104618. 51 indexed citations
10.
Wang, Jie, Xueyu Zhao, Dongxue Zhao, et al.. (2020). Reconnaissance scale mapping of salinity in three‐dimensions using EM38 and EM34 data and inversion modelling. Land Degradation and Development. 31(18). 2936–2951. 13 indexed citations
11.
Zhao, Xueyu, Maryem Arshad, Nan Li, Ehsan Zare, & John Triantafilis. (2020). Determination of the optimal mathematical model, sample size, digital data and transect spacing to map CEC (Cation exchange capacity) in a sugarcane field. Computers and Electronics in Agriculture. 173. 105436–105436. 18 indexed citations
12.
Arshad, Maryem, Dongxue Zhao, Ehsan Zare, Michael V. Sefton, & John Triantafilis. (2020). Proximally sensed digital data library to predict topsoil clay across multiple sugarcane fields of Australia: Applicability of local and universal support vector machine. CATENA. 196. 104934–104934. 3 indexed citations
13.
Zhao, Xueyu, Jie Wang, Dongxue Zhao, et al.. (2019). Digital regolith mapping of clay across the Ashley irrigation area using electromagnetic induction data and inversion modelling. Geoderma. 346. 18–29. 23 indexed citations
14.
Zare, Ehsan, Amélie Beucher, Jingyi Huang, et al.. (2018). Three-dimensional imaging of active acid sulfate soil using a DUALEM-21S and EM inversion software. Journal of Environmental Management. 212. 99–107. 7 indexed citations
15.
Li, Nan, Ehsan Zare, Jingyi Huang, & John Triantafilis. (2018). Mapping Soil Cation‐Exchange Capacity using Bayesian Modeling and Proximal Sensors at the Field Scale. Soil Science Society of America Journal. 82(5). 1203–1216. 27 indexed citations
16.
Koganti, Triven, et al.. (2018). Quantitative mapping of soil salinity using the DUALEM‐21S instrument and EM inversion software. Land Degradation and Development. 29(6). 1768–1781. 30 indexed citations
17.
Zare, Ehsan, et al.. (2018). Comparing traditional and digital soil mapping at a district scale using residual maximum likelihood analysis. Soil Research. 56(5). 535–547. 11 indexed citations
18.
Zare, Ehsan, Jingyi Huang, & John Triantafilis. (2016). Identifying soil landscape units at the district scale by numerically clustering remote and proximal sensed data. Computers and Electronics in Agriculture. 127. 510–520. 9 indexed citations
19.
Huang, Jingyi, Ehsan Zare, R. S. Malik, & John Triantafilis. (2015). An error budget for soil salinity mapping using different ancillary data. Soil Research. 53(5). 561–575. 23 indexed citations
20.
Zare, Ehsan, Jingyi Huang, Fernando A. Monteiro Santos, & John Triantafilis. (2015). Mapping Salinity in Three Dimensions using a DUALEM-421 and Electromagnetic Inversion Software. Soil Science Society of America Journal. 79(6). 1729–1740. 47 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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