Mohd. Arshad

551 total citations
43 papers, 319 citations indexed

About

Mohd. Arshad is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Mohd. Arshad has authored 43 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 14 papers in Statistics, Probability and Uncertainty and 8 papers in Artificial Intelligence. Recurrent topics in Mohd. Arshad's work include Statistical Distribution Estimation and Applications (21 papers), Statistical Methods and Bayesian Inference (12 papers) and Probabilistic and Robust Engineering Design (11 papers). Mohd. Arshad is often cited by papers focused on Statistical Distribution Estimation and Applications (21 papers), Statistical Methods and Bayesian Inference (12 papers) and Probabilistic and Robust Engineering Design (11 papers). Mohd. Arshad collaborates with scholars based in India, United States and Qatar. Mohd. Arshad's co-authors include Neeraj Misra, Irfan Ali, Umar Muhammad Modibbo, Ashok Kumar Pathak, Sadaf Zaidi, Faizan Ahmad, M. Tanveer, Ayman Baklizi, Ubydul Haque and P. Vellaisamy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Mohd. Arshad

40 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohd. Arshad India 11 176 93 58 54 31 43 319
Abbas Pak Iran 12 221 1.3× 136 1.5× 55 0.9× 60 1.1× 23 0.7× 36 333
Tahani A. Abushal Saudi Arabia 12 268 1.5× 157 1.7× 66 1.1× 37 0.7× 34 1.1× 48 394
Bhupendra Singh India 11 277 1.6× 162 1.7× 141 2.4× 17 0.3× 20 0.6× 62 410
Paulo H. Ferreira Brazil 11 131 0.7× 101 1.1× 57 1.0× 48 0.9× 21 0.7× 46 255
Kadir Karakaya Türkiye 11 172 1.0× 90 1.0× 14 0.2× 35 0.6× 36 1.2× 51 304
Aisha Fayomi Saudi Arabia 11 237 1.3× 126 1.4× 29 0.5× 41 0.8× 55 1.8× 32 315
Muhammad Aslam Pakistan 15 518 2.9× 320 3.4× 65 1.1× 152 2.8× 72 2.3× 109 700
Eslam Hussam Saudi Arabia 13 426 2.4× 235 2.5× 51 0.9× 50 0.9× 83 2.7× 71 496
B. K. Kale India 14 294 1.7× 108 1.2× 34 0.6× 96 1.8× 20 0.6× 38 417
Tae Young Yang South Korea 11 221 1.3× 61 0.7× 157 2.7× 65 1.2× 11 0.4× 28 468

Countries citing papers authored by Mohd. Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Mohd. Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohd. Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd. Arshad. A scholar is included among the top collaborators of Mohd. 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 Mohd. Arshad. Mohd. Arshad 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.
Arshad, Mohd., et al.. (2025). Towards robust and inversion-free randomized neural networks: The XG-RVFL framework. Pattern Recognition. 172. 112711–112711.
2.
Tanveer, M., et al.. (2025). HawkEye: A robust loss function for regression with bounded, smooth, and insensitive zone characteristics. Applied Soft Computing. 176. 113118–113118. 1 indexed citations
3.
Tanveer, M., et al.. (2024). Diagnosis of breast cancer using flexible pinball loss support vector machine. Applied Soft Computing. 157. 111454–111454. 10 indexed citations
4.
Pathak, Ashok Kumar, et al.. (2024). Parametric and semiparametric approaches for copula-based regression estimation. Hacettepe Journal of Mathematics and Statistics. 53(4). 1141–1157. 1 indexed citations
5.
6.
Pathak, Ashok Kumar, et al.. (2024). Copula-based regression estimation in the presence of outliers. Communications in Statistics - Simulation and Computation. 54(10). 4129–4154. 2 indexed citations
7.
Tanveer, M., et al.. (2024). RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 149–160. 14 indexed citations
8.
Arshad, Mohd., et al.. (2023). A new class of copulas having dependence range larger than FGM-type copulas. Statistics & Probability Letters. 206. 109988–109988. 2 indexed citations
9.
Arshad, Mohd., et al.. (2022). Estimation after selection from bivariate normal population with application to poultry feeds data. Hacettepe Journal of Mathematics and Statistics. 51(4). 1141–1159.
10.
Chesneau, Christophe, et al.. (2022). On a Modified Weighted Exponential Distribution with Applications. Mathematical and Computational Applications. 27(1). 17–17. 11 indexed citations
11.
Pathak, Ashok Kumar, et al.. (2021). Short-term forecasting of the COVID-19 outbreak in India. International Health. 13(5). 410–420. 8 indexed citations
12.
Modibbo, Umar Muhammad, et al.. (2021). Optimization and estimation in system reliability allocation problem. Reliability Engineering & System Safety. 212. 107620–107620. 45 indexed citations
13.
Pathak, Ashok Kumar, et al.. (2021). Impact of Environmental Indicators on the COVID-19 Pandemic in Delhi, India. Pathogens. 10(8). 1003–1003. 14 indexed citations
14.
Jodrá, P. & Mohd. Arshad. (2021). An intermediate muth distribution with increasing failure rate. Communication in Statistics- Theory and Methods. 51(23). 8310–8327. 4 indexed citations
15.
Ahmad, Faizan, Sadaf Zaidi, & Mohd. Arshad. (2021). Postharvest quality assessment of apple during storage at ambient temperature. Heliyon. 7(8). e07714–e07714. 28 indexed citations
16.
Arshad, Mohd., et al.. (2020). Estimation of common location parameter of several heterogeneous exponential populations based on generalized order statistics. Journal of Applied Statistics. 48(10). 1798–1815. 6 indexed citations
17.
Arshad, Mohd., et al.. (2020). On estimating the location parameter of the selected exponential population under the LINEX loss function. Brazilian Journal of Probability and Statistics. 34(1). 9 indexed citations
18.
Arshad, Mohd., et al.. (2019). Estimation after Selection from Uniform Populations under an Asymmetric Loss Function. American Journal of Mathematical and Management Sciences. 38(4). 349–362. 2 indexed citations
19.
Arshad, Mohd., et al.. (2019). Estimation of Common Scale Parameter of Several Heterogeneous Pareto Populations Based on Records. Iranian Journal of Science and Technology Transactions A Science. 43(5). 2315–2323. 6 indexed citations
20.
Arshad, Mohd. & Neeraj Misra. (2015). Selecting The Exponential Population Having The Larger Guarantee Time With Unequal Sample Sizes. Communication in Statistics- Theory and Methods. 44(19). 4144–4171. 7 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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