Mohd. Arshad

585 citations
51 papers · 349 · h-index 11

Impact in

Papers in

Mohd. Arshad

45 papers receiving 336 citations

Peers

Mohd. Arshad
Comparison fields: 5 of 83
  • Statistics and Probability 183
  • Statistics, Probability and Uncertainty 97
  • Safety, Risk, Reliability and Quality 59
  • Modeling and Simulation 14
  • Software 11
Replace Tahani A. Abushal with:
Tahani A. Abushal Saudi Arabia
Abbas Pak Iran
Paulo H. Ferreira Brazil
Nathaniel T. Stevens Canada
Liangliang Zhuang China
Yuzhu Tian China
Shovan Chowdhury India
Kanchan Jain India
Prasanta Basak United States
Aisha Fayomi Saudi Arabia
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 25 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 202131
3 202419
4 201619
5 202115
6 202413
7 202212
8 201512
9 202112
10 201812
11 201810
12 202110
13 20199
14 20149
15 20209
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 51 papers that have together received 349 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (24 papers), Statistical Methods and Bayesian Inference (13 papers), Probabilistic and Robust Engineering Design (13 papers), Advanced Statistical Methods and Models (10 papers), Statistical Methods and Inference (6 papers), Reliability and Maintenance Optimization (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 (183 citations), Statistics, Probability and Uncertainty (97 citations), Safety, Risk, Reliability and Quality (59 citations), Modeling and Simulation (14 citations) and Software (11 citations). Mohd. Arshad has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Neeraj Misra, M. Tanveer, Irfan Ali, Umar Muhammad Modibbo, Ashok Kumar Pathak, Sadaf Zaidi, Faizan Ahmad, Ubydul Haque, Ayman Baklizi and P. Vellaisamy. Their work appears in journals such as Applied Soft Computing, Mathematical and Computational Applications, Journal of Statistical Computation and Simulation, Statistical Papers and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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.

Explore authors with similar magnitude of impact