Maryem Arshad

553 total citations
17 papers, 456 citations indexed

About

Maryem Arshad is a scholar working on Environmental Engineering, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Maryem Arshad has authored 17 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 5 papers in Civil and Structural Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Maryem Arshad's work include Soil Geostatistics and Mapping (12 papers), Soil and Unsaturated Flow (5 papers) and Mineral Processing and Grinding (4 papers). Maryem Arshad is often cited by papers focused on Soil Geostatistics and Mapping (12 papers), Soil and Unsaturated Flow (5 papers) and Mineral Processing and Grinding (4 papers). Maryem Arshad collaborates with scholars based in Australia, Canada and Pakistan. Maryem Arshad's co-authors include John Triantafilis, Dongxue Zhao, Nan Li, Jie Wang, Xueyu Zhao, Mazhar Iqbal, Aqib Hassan Ali Khan, Sohail Yousaf, Mariam Anees and Gerhard Soja and has published in prestigious journals such as Soil Science Society of America Journal, Soil and Tillage Research and Computers and Electronics in Agriculture.

In The Last Decade

Maryem Arshad

16 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryem Arshad Australia 11 205 90 87 83 77 17 456
Rutian Bi China 14 171 0.8× 156 1.7× 61 0.7× 147 1.8× 75 1.0× 63 536
Seyed Roohollah Mousavi Iran 12 293 1.4× 111 1.2× 145 1.7× 152 1.8× 136 1.8× 31 584
Bruno Teixeira Ribeiro Brazil 15 183 0.9× 55 0.6× 158 1.8× 161 1.9× 168 2.2× 50 604
Hamid Sodaiezadeh Iran 9 156 0.8× 74 0.8× 56 0.6× 78 0.9× 79 1.0× 20 361
D. G. Hopkins United States 11 147 0.7× 50 0.6× 202 2.3× 144 1.7× 66 0.9× 19 491
Nadhira Ben Aïssa Tunisia 13 182 0.9× 137 1.5× 144 1.7× 234 2.8× 66 0.9× 27 639
Lan Zhang China 12 61 0.3× 48 0.5× 91 1.0× 102 1.2× 74 1.0× 49 516
Yi Peng China 18 307 1.5× 132 1.5× 66 0.8× 249 3.0× 184 2.4× 38 778
Yichun Du China 10 208 1.0× 74 0.8× 101 1.2× 85 1.0× 90 1.2× 18 436
Pingguo Yang China 13 81 0.4× 38 0.4× 222 2.6× 80 1.0× 112 1.5× 25 487

Countries citing papers authored by Maryem Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Maryem Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryem Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Maryem Arshad. A scholar is included among the top collaborators of Maryem Arshad 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 Maryem Arshad. Maryem Arshad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Zhao, Dongxue, Maryem Arshad, Jie Wang, & John Triantafilis. (2021). Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking. Computers and Electronics in Agriculture. 182. 105990–105990. 72 indexed citations
3.
Arshad, Maryem, et al.. (2020). Field‐scale digital soil mapping of clay: Combining different proximal sensed data and comparing various statistical models. Soil Science Society of America Journal. 84(2). 314–330. 17 indexed citations
4.
Zhao, Dongxue, Maryem Arshad, Nan Li, & John Triantafilis. (2020). Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas. CATENA. 196. 104938–104938. 72 indexed citations
5.
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
6.
7.
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
8.
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
9.
Li, Nan, Dongxue Zhao, Maryem Arshad, Michael V. Sefton, & John Triantafilis. (2020). Comparison of a digital soil map and conventional soil map for management of topsoil exchangeable sodium percentage. Soil Use and Management. 38(1). 121–134. 7 indexed citations
10.
Arshad, Maryem, Nan Li, Dongxue Zhao, Michael V. Sefton, & John Triantafilis. (2019). Comparing management zone maps to address infertility and sodicity in sugarcane fields. Soil and Tillage Research. 193. 122–132. 17 indexed citations
11.
Li, Nan, Maryem Arshad, Dongxue Zhao, Michael V. Sefton, & John Triantafilis. (2019). Determining optimal digital soil mapping components for exchangeable calcium and magnesium across a sugarcane field. CATENA. 181. 104054–104054. 20 indexed citations
12.
Zhao, Dongxue, et al.. (2018). A Vis‐NIR Spectral Library to Predict Clay in Australian Cotton Growing Soil. Soil Science Society of America Journal. 82(6). 1347–1357. 57 indexed citations
13.
Khan, Aqib Hassan Ali, Muhammad Ayaz, Maryem Arshad, et al.. (2018). Biogeochemical Cycle, Occurrence and Biological Treatments of Polycyclic Aromatic Hydrocarbons (PAHs). Iranian Journal of Science and Technology Transactions A Science. 43(3). 1393–1410. 25 indexed citations
14.
Arshad, Maryem, Aqib Hassan Ali Khan, Imran Hussain, et al.. (2017). The reduction of chromium (VI) phytotoxicity and phytoavailability to wheat ( Triticum aestivum L.) using biochar and bacteria. Applied Soil Ecology. 114. 90–98. 98 indexed citations
15.
Soon, Y. K., et al.. (2000). Recovery of chemical and physical properties of boreal plain soils impacted by pipeline burial. Canadian Journal of Soil Science. 80(3). 489–497. 28 indexed citations
16.
Prihar, S. S., et al.. (1992). Water profiles, isohydral fronts and evaporation from a sandy loam soil dried under three levels of evaporativity. Communications in Soil Science and Plant Analysis. 23(13-14). 1359–1370.
17.
Arshad, Maryem, et al.. (1980). Influence of organic matter, free iron and calcium carbonate on soil particle size distribution. AGROCHIMICA. 24. 470–477. 4 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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