Mohamed S. Eliwa

1.6k citations
88 papers · 1.2k indexed · h-index 21
Topics
Statistical Distribution Estimation and Applications (78 papers)Probabilistic and Robust Engineering Design (42 papers)Statistical Methods and Bayesian Inference (30 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
Partner nations
EgyptSaudi ArabiaItaly

In The Last Decade

Mohamed S. Eliwa

79 papers receiving 1.1k citations

Peers

Mohamed S. Eliwa
Comparison fields: 5 of 88
  • Statistics and Probability 962
  • Statistics, Probability and Uncertainty 455
  • Global and Planetary Change 260
  • Artificial Intelligence 175
  • Management Science and Operations Research 150
Replace Mustafa Ç. Korkmaz with:
Mustafa Ç. Korkmaz Türkiye
Ahmed M. Gemeay Egypt
Gokarna Aryal United States
Emrah Altun Türkiye
Faton Merovcı Kosovo
Rodrigo B. Silva Brazil
Eisa Mahmoudi Iran
Broderick O. Oluyede Botswana
Ibrahim Elbatal Saudi Arabia
Muhammad Shuaib Khan Australia
Mohamed S. Eliwa relative to Mustafa Ç. Korkmaz Türkiye Mustafa Ç. Korkmaz's profile →
Citations per field
00.5×10×14×
Mustafa Ç. Korkmaz · 1×
Citations per year

Countries citing papers authored by Mohamed S. Eliwa

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed S. Eliwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed S. Eliwa

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed S. Eliwa. A scholar is included among the top collaborators of Mohamed S. Eliwa 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 S. Eliwa. Mohamed S. Eliwa 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
1 1
2 0
3 2
4 2
5 2
6 2
7 29
8 11
9 3
10 0
11 9
12 18
13 21
14 10
15 14
16 28
17 23
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19 44
20 48

About Mohamed S. Eliwa

Mohamed S. Eliwa is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (78 papers), Probabilistic and Robust Engineering Design (42 papers) and Statistical Methods and Bayesian Inference (30 papers). The work is most often cited by research in Statistics and Probability (962 citations), Statistics, Probability and Uncertainty (455 citations) and Periodontics (130 citations). Mohamed S. Eliwa has collaborated with scholars based in Egypt, Saudi Arabia and Italy. Frequent co-authors include Mahmoud El-Morshedy, Emrah Altun, Ziyad A. Alhussain, Haitham M. Yousof, Sajid Ali, Hatice Hastürk, Thomas E. Van Dyke, Hesham El‐Sharkawy, Nayer Aboelsaad and Alpdoğan Kantarcı. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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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