Fadel M. Megahed

71 papers receiving 2.3k citations

Fadel M. Megahed's Hit Papers

How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study 2023 · 125 citations
1250+1+2Years since publication4080120

Peers

Fadel M. Megahed
Comparison fields: 5 of 156
  • Statistics, Probability and Uncertainty 506
  • Medical Laboratory Technology 80
  • Health Informatics 70
  • Management Science and Operations Research 414
  • Radiological and Ultrasound Technology 152
Replace Sally I. McClean with:
Sally I. McClean United Kingdom
Jingshan Li United States
Mohammad T. Khasawneh United States
James Ward United Kingdom
Pradip Kumar Ray India
Kai Yang United States
Yang Zhao China
Ann M. Bisantz United States
Joseph Homer Saleh United States
Mohammad Mahdi Sepehri Iran
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Citations per year

Countries citing papers authored by Fadel M. Megahed

Since Specialization
Citations

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

Fields of papers citing papers by Fadel M. Megahed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fadel M. Megahed. 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 Fadel M. Megahed. The network helps show where Fadel M. Megahed may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2017174
3 2017165
4
How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study
Hit paper breakdown →
2023125
5 2011115
6 2013105
7 2021100
8 202094
9 201290
10 201681
11 201880
12 201274
13 201672
14 201664
15 201051
16 201951
17 201747
18 201246
19 202041
20 202039

About Fadel M. Megahed

Fadel M. Megahed is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Radiological and Ultrasound Technology, Management Science and Operations Research and Statistics and Probability, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (21 papers), Industrial Vision Systems and Defect Detection (9 papers), Occupational Health and Safety Research (8 papers), Ergonomics and Musculoskeletal Disorders (7 papers), Traffic and Road Safety (6 papers), Sleep and Work-Related Fatigue (5 papers), Imbalanced Data Classification Techniques (5 papers) and Scientific Measurement and Uncertainty Evaluation (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (506 citations), Medical Laboratory Technology (80 citations), Health Informatics (70 citations), Management Science and Operations Research (414 citations) and Radiological and Ultrasound Technology (152 citations). Fadel M. Megahed has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lora Anne Cavuoto, William H. Woodall, Jaime A. Camelio, L. Allison Jones‐Farmer, Ying‐Ju Chen, Waldyn G. Martinez, Min Zhang, Mohamed Aktham Ahmed, Amir Baghdadi and Lin Lü. Their work appears in journals such as Journal of Quality Technology, Quality and Reliability Engineering International, Applied Ergonomics, Journal of Intelligent Manufacturing and Quality Engineering.

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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