Muhammad Aslam

10.5k citations
626 papers · 8.0k · h-index 43

Impact in

Papers in

Muhammad Aslam

589 papers receiving 7.8k citations

Peers

Muhammad Aslam
Comparison fields: 5 of 182
  • Statistics, Probability and Uncertainty 5.3k
  • Statistics and Probability 4.0k
  • Medical Laboratory Technology 274
  • Management Science and Operations Research 2.1k
  • Industrial and Manufacturing Engineering 910
Replace William H. Woodall with:
William H. Woodall United States
George C. Runger United States
Chi‐Hyuck Jun South Korea
Roger Sauter Australia
James M. Lucas United States
Marion R. Reynolds United States
Steven E. Rigdon United States
Connie M. Borror United States
William Q. Meeker United States
Zhang Wu Singapore
Muhammad Aslam relative to William H. Woodall United States William H. Woodall's profile →
Citations per field
00.5×1.5×1.8×
William H. Woodall · 1×
Citations per year

Countries citing papers authored by Muhammad Aslam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Aslam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Aslam, 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 Muhammad Aslam Line = papers co-authored together Muhammad Aslam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 626 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009140
2 2010102
3 2018101
4 2011100
5 201998
6 201291
7 201486
8 201578
9 201375
10 201473
11 201470
12 201967
13 201966
14 201365
15 201462
16 201361
17 201461
18 201961
19 201260
20 201459

About Muhammad Aslam

Muhammad Aslam is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Management Science and Operations Research, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 626 papers that have together received 8.0k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (346 papers), Advanced Statistical Methods and Models (152 papers), Scientific Measurement and Uncertainty Evaluation (134 papers), Statistical Distribution Estimation and Applications (104 papers), Optimal Experimental Design Methods (91 papers), Fuzzy Systems and Optimization (87 papers), Multi-Criteria Decision Making (68 papers) and Fault Detection and Control Systems (56 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (5.3k citations), Statistics and Probability (4.0k citations), Medical Laboratory Technology (274 citations), Management Science and Operations Research (2.1k citations) and Industrial and Manufacturing Engineering (910 citations). Muhammad Aslam has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Chi‐Hyuck Jun, Muhammad Azam, Nasrullah Khan, G. Srinivasa Rao, S. Balamurali, Liaquat Ahmad, Osama H. Arif, Mohammed Albassam, Munir Ahmad and Chien‐Wei Wu. Their work appears in journals such as IEEE Access, Quality and Reliability Engineering International, Scientific Reports, Journal of Testing and Evaluation and Journal of Statistical Computation and Simulation.

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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