Mohd. Arshad

551 citations
43 papers · 319 · h-index 11

Impact in

Papers in

Mohd. Arshad

40 papers receiving 309 citations

Peers

Mohd. Arshad
Comparison fields: 5 of 82
  • Statistics and Probability 176
  • Statistics, Probability and Uncertainty 93
  • Safety, Risk, Reliability and Quality 58
  • Software 12
  • Modeling and Simulation 13
Replace Tahani A. Abushal with:
Tahani A. Abushal Saudi Arabia
Paulo H. Ferreira Brazil
Abbas Pak Iran
Abdelfattah Mustafa Egypt
Bhupendra Singh India
A. I. Shawky Saudi Arabia
Saima K. Khosa Saudi Arabia
Yuzhu Tian China
Eslam Hussam Saudi Arabia
Muhammad Aslam Pakistan
Mohd. Arshad relative to Tahani A. Abushal Saudi Arabia Tahani A. Abushal's profile →
Citations per field
00.5×3.2×
Tahani A. Abushal · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Mohd. Arshad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohd. Arshad Line = papers co-authored together Mohd. Arshad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202145
2 202128
3 201619
4 202114
5 202414
6 201512
7 202211
8 202111
9 201811
10 202410
11 202110
12 201810
13 20209
14 20199
15 20149
16 20218
17 20138
18 20157
19 20206
20 20196

About Mohd. Arshad

Mohd. Arshad is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Global and Planetary Change and Safety, Risk, Reliability and Quality, having authored 43 papers that have together received 319 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (21 papers), Statistical Methods and Bayesian Inference (12 papers), Probabilistic and Robust Engineering Design (11 papers), Advanced Statistical Methods and Models (9 papers), Reliability and Maintenance Optimization (6 papers), Statistical Methods and Inference (6 papers), Hydrology and Drought Analysis (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Statistics and Probability (176 citations), Statistics, Probability and Uncertainty (93 citations), Safety, Risk, Reliability and Quality (58 citations), Software (12 citations) and Modeling and Simulation (13 citations). Mohd. Arshad has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Neeraj Misra, Ashok Kumar Pathak, Umar Muhammad Modibbo, Irfan Ali, Faizan Ahmad, Sadaf Zaidi, M. Tanveer, Ayman Baklizi, Ubydul Haque and Christophe Chesneau. Their work appears in journals such as Applied Soft Computing, Transactions of the Royal Society of Tropical Medicine and Hygiene, Journal of Statistical Computation and Simulation, Reliability Engineering & System Safety and Pathogens.

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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