Kamel Rekab

580 citations
44 papers · 423 · h-index 12

Impact in

Papers in

Kamel Rekab

41 papers receiving 393 citations

Peers

Kamel Rekab
Comparison fields: 5 of 98
  • Software 71
  • Endocrine and Autonomic Systems 50
  • Statistics and Probability 50
  • Statistics, Probability and Uncertainty 41
  • Safety, Risk, Reliability and Quality 52
Replace Abhijit S. Pandya with:
Abhijit S. Pandya United States
Syed Farhan Alam Zaidi South Korea
Danyang Huang China
Mohammadreza Sehhati Iran
Himanshu Pant India
Ricardo Sousa Portugal
Yordan P. Raykov United Kingdom
Nicholas Pudjihartono New Zealand
Carlos Abreu Ferreira Portugal
Kamel Rekab relative to Abhijit S. Pandya United States Abhijit S. Pandya's profile →
Citations per field
00.5×10×12.5×
Abhijit S. Pandya · 1×
Citations per year

Countries citing papers authored by Kamel Rekab

Since Specialization
Citations

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

Fields of papers citing papers by Kamel Rekab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Kamel Rekab, 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 Kamel Rekab Line = papers co-authored together Kamel Rekab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200544
2 200443
3 200541
4 200440
5 201431
6 200027
7 200424
8 200116
9 199315
10 199214
11 201214
12 201313
13 198911
14 201310
15 20089
16 20068
17 20037
18 19906
19 20105
20
A software testing model: using design of experiments (doe) and logistic regression
20015

About Kamel Rekab

Kamel Rekab is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Software, Information Systems and Management Science and Operations Research, having authored 44 papers that have together received 423 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (10 papers), Software Reliability and Analysis Research (9 papers), Software Engineering Research (8 papers), Statistical Distribution Estimation and Applications (6 papers), Optimal Experimental Design Methods (6 papers), Reliability and Maintenance Optimization (6 papers), Software Testing and Debugging Techniques (5 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Software (71 citations), Endocrine and Autonomic Systems (50 citations), Statistics and Probability (50 citations), Statistics, Probability and Uncertainty (41 citations) and Safety, Risk, Reliability and Quality (52 citations). Kamel Rekab has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Robert E. Stephens, J. G. Widdicombe, W. Robert Addington, Jack Ballantyne, Erin Hanson, James A. Whittaker, J. A. Whittaker, Michael G. Thomason, Lotfi Tadj and Gautam Choudhury. Their work appears in journals such as Applied Mathematics and Computation, IEEE Transactions on Reliability, Sleep And Breathing, Information and Software Technology and American Journal of Physical Medicine & Rehabilitation.

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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