A Liaghat

416 total citations
25 papers, 354 citations indexed

About

A Liaghat is a scholar working on Soil Science, Global and Planetary Change and Plant Science. According to data from OpenAlex, A Liaghat has authored 25 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Soil Science, 6 papers in Global and Planetary Change and 5 papers in Plant Science. Recurrent topics in A Liaghat's work include Irrigation Practices and Water Management (4 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Hydrology and Drought Analysis (4 papers). A Liaghat is often cited by papers focused on Irrigation Practices and Water Management (4 papers), Plant Water Relations and Carbon Dynamics (4 papers) and Hydrology and Drought Analysis (4 papers). A Liaghat collaborates with scholars based in Iran, United States and Egypt. A Liaghat's co-authors include Omid Bozorg‐Haddad, Masoud Parsinejad, Navid Ghajarnia, Peyman Daneshkar Arasteh, Hamideh Noory, Mehdi Homaee, Gerrit Hoogenboom, Kumars Ebrahimi, Hamed Ebrahimian and Enrique Playán Jubillar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Atmospheric Research.

In The Last Decade

A Liaghat

24 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A Liaghat Iran 8 145 122 93 84 78 25 354
Muhammad Rizwan Pakistan 10 148 1.0× 89 0.7× 31 0.3× 18 0.2× 47 0.6× 22 276
Leila Hassan-Esfahani United States 8 96 0.7× 62 0.5× 41 0.4× 59 0.7× 75 1.0× 16 393
Luis Olivera-Guerra France 12 255 1.8× 101 0.8× 18 0.2× 50 0.6× 85 1.1× 18 427
Lessandro Coll Faria Brazil 13 139 1.0× 96 0.8× 25 0.3× 73 0.9× 192 2.5× 49 469
Thomas L. Spofford United States 5 211 1.5× 87 0.7× 19 0.2× 54 0.6× 121 1.6× 7 329
Kent Frame United States 4 337 2.3× 142 1.2× 45 0.5× 30 0.4× 128 1.6× 5 383
J. L. Teixeira Portugal 8 137 0.9× 96 0.8× 103 1.1× 62 0.7× 184 2.4× 25 309
Kusum Pandey India 9 200 1.4× 157 1.3× 25 0.3× 36 0.4× 51 0.7× 14 371
Behrouz Mehdinejadiani Iran 11 92 0.6× 124 1.0× 26 0.3× 81 1.0× 28 0.4× 18 399
A. Salim Bawazir United States 11 209 1.4× 120 1.0× 37 0.4× 21 0.3× 71 0.9× 31 349

Countries citing papers authored by A Liaghat

Since Specialization
Citations

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

Fields of papers citing papers by A Liaghat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Liaghat

This figure shows the co-authorship network connecting the top 25 collaborators of A Liaghat. A scholar is included among the top collaborators of A Liaghat 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 A Liaghat. A Liaghat 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.
Liaghat, A, et al.. (2022). Management of agricultural saline drainage using system dynamics approach. Water and Environment Journal. 36(2). 299–307. 1 indexed citations
2.
Liaghat, A, et al.. (2019). OPTIMIZATION OF SUGARCANE HARVEST USING REMOTE SENSING. SHILAP Revista de lepidopterología. XLII-4/W18. 857–861. 4 indexed citations
3.
Liaghat, A, et al.. (2015). Conjunctive Effects of Supplemental Irrigation and Planting Date on Rainfed Lentil in Qazvin Plain, Iran. Journal of Irrigation and Drainage Engineering. 141(12). 5 indexed citations
4.
Khalili, Ali, et al.. (2014). Artificial Neural Networks (ANNs) application to predict occurrence of phenological stages in wheat using climatic data.. 2(10). 352–361. 2 indexed citations
5.
Liaghat, A, et al.. (2014). SOIL WATER BALANCE, SOWING DATE AND WHEAT YIELD USING AQUACROP MODEL UNDER RAINFED AND LIMITED IRRIGATION. 14(4). 41–56. 2 indexed citations
6.
Liaghat, A, et al.. (2013). Estimation of Virtual Water Using Support Vector Machine, K-nearest neighbour, and Radial Basis Function Neural Network Models. International Journal of Agronomy and Plant Production. 4(11). 2926–2936. 3 indexed citations
7.
Liaghat, A, et al.. (2013). Application of Artificial Neural Network and Adaptive Neural-based Fuzzy Inference System Techniques in Estimating of Virtual Water. International Journal of Computer Applications. 76(6). 12–19. 9 indexed citations
8.
Liaghat, A, et al.. (2013). ASSESSMENT OF WATER TABLE DEPTH AND IRRIGATION WATER DISCHARGE ON DRAINAGE WATER QUALITY AND MIXING REGION UNDER DRAIN IN A LABORATORY MODEL. 7(2). 122–132. 1 indexed citations
9.
Molavi, Hossein, M. Mohammadi, & A Liaghat. (2012). Effect of Saline Water Management on Yield and Yield Components of Corn and Soil Salinity Profile. SHILAP Revista de lepidopterología.
10.
Ebrahimian, Hamed, A Liaghat, Masoud Parsinejad, & Enrique Playán Jubillar. (2012). Distribución y pérdidas de agua y nitrato bajo fertirriego por surcos alterno y convencional. Spanish Journal of Agricultural Research. 10(3). 849–864. 12 indexed citations
11.
Ghahraman, B, et al.. (2012). Pan coefficient (K p) estimation under uncertainty on fetch. Meteorology and Atmospheric Physics. 117(1-2). 73–83. 5 indexed citations
12.
Liaghat, A, et al.. (2011). Evaluation of Reference Evapotranspiration Models for a Semiarid Environment Using Lysimeter Measurements. Journal of Agricultural Science and Technology. 13(2). 223–237. 37 indexed citations
13.
Liaghat, A, et al.. (2011). Prediction of Crop Production using Drought indices at Different Time Scales and Climatic Factors to Manage Drought Risk1. JAWRA Journal of the American Water Resources Association. 48(1). 1–9. 11 indexed citations
14.
Abyaneh, Hamid Zare, et al.. (2011). COMPARISON OF PENMAN- MONTEITH FAO METHOD AND A CLASS PAN EVAPORATION WITH LYSIMETER MEASUREMENTS IN ESTIMATION OF RICE EVAPOTRANSPIRATION IN AMOL REGION. 71–83. 3 indexed citations
15.
Ebrahimian, Hamed, et al.. (2011). WATER AND NITRATE LOSSES AND WATER USE EFFICIENCY IN ALTERNATE FURROW FERTIGATION. 25(1). 21–30. 3 indexed citations
16.
Khalili, Ali, et al.. (2011). Artificial Neural Networks Application to Predict Wheat Yield Using Climatic Data. 7 indexed citations
17.
Abbasi, Fariborz, et al.. (2010). EVALUATION OF DISTRIBUTION UNIFORMITY AND NITRATE LOSSES IN FURROW FERTIGATION. JWSS - Isfahan University of Technology. 14(51). 45–55. 1 indexed citations
18.
Ghanbarian‐Alavijeh, Behzad, et al.. (2009). Estimating Mass Fractal Dimension of Soil Water Retention Curve using Neural Networks. EGU General Assembly Conference Abstracts. 1394. 1 indexed citations
19.
Liaghat, A, et al.. (2009). Investigating the Effect of Three Nitrate Fertilizers on Nitrate Leaching under the Root Zone in Clay Loam Soil. American Journal of Environmental Sciences. 5(3). 387–392. 1 indexed citations
20.
Liaghat, A, et al.. (2007). Fertilizer Use Efficiency for Sunflower with Fertigation System. JWSS - Isfahan University of Technology. 11(40). 65–77. 3 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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