Mohamed Kayid

1.1k citations
146 papers · 740 indexed · h-index 13
Topics
Statistical Distribution Estimation and Applications (131 papers)Probabilistic and Robust Engineering Design (75 papers)Reliability and Maintenance Optimization (47 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
Partner nations
Saudi ArabiaEgyptIran

In The Last Decade

Mohamed Kayid

116 papers receiving 680 citations

Peers

Mohamed Kayid
Comparison fields: 5 of 53
  • Statistics and Probability 667
  • Statistics, Probability and Uncertainty 398
  • Safety, Risk, Reliability and Quality 238
  • Management Science and Operations Research 141
  • Demography 87
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Mohamed Kayid

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Kayid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Kayid

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Kayid. A scholar is included among the top collaborators of Mohamed Kayid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohamed Kayid. Mohamed Kayid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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14 5
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A new model based on Lomax distribution
1
18
Characterization Results of the NBUCA Class of Life Distributions
4
19
Multivariate Mean Inactivity Time Functions with Reliability Applications
2
20
Some Results About NBU mgf Class of Life Distributions
2

About Mohamed Kayid

Mohamed Kayid is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 146 papers that have together received 740 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (131 papers), Probabilistic and Robust Engineering Design (75 papers) and Reliability and Maintenance Optimization (47 papers). The work is most often cited by research in Statistics and Probability (667 citations), Statistics, Probability and Uncertainty (398 citations) and Safety, Risk, Reliability and Quality (238 citations). Mohamed Kayid has collaborated with scholars based in Saudi Arabia, Egypt and Iran. Frequent co-authors include Ibrahim A. Ahmad, Franco Pellerey, Mansour Shrahili, A. M. Abouammoh, Hassan M. Okasha, Mhamed Mesfioui, Ibrahim Elbatal, Ming J. Zuo, Xiuqing Li and Ahmed M. Gemeay. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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