Shahid Kamal

643 total citations
10 papers, 500 citations indexed

About

Shahid Kamal is a scholar working on Polymers and Plastics, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Shahid Kamal has authored 10 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Polymers and Plastics, 3 papers in Statistics, Probability and Uncertainty and 3 papers in Statistics and Probability. Recurrent topics in Shahid Kamal's work include Advanced Statistical Methods and Models (3 papers), Advanced Statistical Process Monitoring (3 papers) and Textile materials and evaluations (3 papers). Shahid Kamal is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Advanced Statistical Process Monitoring (3 papers) and Textile materials and evaluations (3 papers). Shahid Kamal collaborates with scholars based in Pakistan, India and Saudi Arabia. Shahid Kamal's co-authors include Faisal Khan, Shahab A.A. Nami, M. S. Khan, Naseer Ahmad, Zulfiqar Ali Raza, Syed Ishraque Ahmad, Mohammad Arshad, Shumaila Shahid, Tanveer Hussain and Faiza Anwar and has published in prestigious journals such as Applied Surface Science, Journal of Materials Chemistry C and Journal of Materials Chemistry B.

In The Last Decade

Shahid Kamal

10 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shahid Kamal Pakistan 9 150 139 101 85 71 10 500
Faisal Khan India 10 148 1.0× 136 1.0× 110 1.1× 73 0.9× 74 1.0× 32 557
S. Sudarsan India 14 108 0.7× 115 0.8× 40 0.4× 106 1.2× 99 1.4× 45 485
Omid Vahidi Iran 13 180 1.2× 124 0.9× 26 0.3× 157 1.8× 50 0.7× 24 592
Yifan Fu China 12 74 0.5× 101 0.7× 86 0.9× 66 0.8× 10 0.1× 41 402
Yifei Jiang China 14 354 2.4× 129 0.9× 26 0.3× 184 2.2× 40 0.6× 28 640
Zulfiqar Ali Pakistan 12 105 0.7× 144 1.0× 79 0.8× 84 1.0× 8 0.1× 49 505
Ali Hilal‐Alnaqbi United Arab Emirates 12 273 1.8× 132 0.9× 84 0.8× 82 1.0× 7 0.1× 39 616
Shuyi Wu China 11 160 1.1× 48 0.3× 41 0.4× 163 1.9× 13 0.2× 24 451

Countries citing papers authored by Shahid Kamal

Since Specialization
Citations

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

Fields of papers citing papers by Shahid Kamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahid Kamal

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

All Works

10 of 10 papers shown
1.
Saeed, Nadia, et al.. (2022). Robust Point M-Scale Estimators for Monitoring the Mean of EWMA Control Chart under the Normal Process. Ain Shams Engineering Journal. 13(6). 101796–101796. 4 indexed citations
2.
Khan, Faisal, et al.. (2021). Synthesis, classification and properties of hydrogels: their applications in drug delivery and agriculture. Journal of Materials Chemistry B. 10(2). 170–203. 148 indexed citations
3.
Salem, Sultan, et al.. (2021). Modified Robust Ridge M-Estimators in Two-Parameter Ridge Regression Model. Mathematical Problems in Engineering. 2021. 1–24. 9 indexed citations
4.
5.
Khan, Faisal, M. S. Khan, Shahid Kamal, et al.. (2020). Recent advances in graphene oxide and reduced graphene oxide based nanocomposites for the photodegradation of dyes. Journal of Materials Chemistry C. 8(45). 15940–15955. 169 indexed citations
6.
Kamal, Shahid, et al.. (2020). Performance of Some New Ridge Parameters in Two-Parameter Ridge Regression Model. Iranian Journal of Science and Technology Transactions A Science. 45(1). 327–341. 14 indexed citations
7.
Kamal, Shahid, Faisal Khan, M. S. Khan, et al.. (2020). Synthesis, characterization, morphology, and adsorption studies of ternary nanocomposite comprising graphene oxide, chitosan, and polypyrrole. Polymer Composites. 41(9). 3758–3767. 32 indexed citations
8.
Ahmad, Naseer, Shahid Kamal, Zulfiqar Ali Raza, & Tanveer Hussain. (2017). Multi-objective optimization in the development of oil and water repellent cellulose fabric based on response surface methodology and the desirability function. Materials Research Express. 4(3). 35302–35302. 29 indexed citations
9.
Ahmad, Naseer, Shahid Kamal, Zulfiqar Ali Raza, Tanveer Hussain, & Faiza Anwar. (2016). Multi-response optimization in the development of oleo-hydrophobic cotton fabric using Taguchi based grey relational analysis. Applied Surface Science. 367. 370–381. 44 indexed citations
10.
Raza, Zulfiqar Ali, Naseer Ahmad, & Shahid Kamal. (2014). Multi-response optimization of rhamnolipid production using grey rational analysis in Taguchi method. Biotechnology Reports. 3. 86–94. 43 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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