Naif Alotaibi

669 citations
47 papers · 449 indexed · h-index 14
Topics
Statistical Distribution Estimation and Applications (33 papers)Probabilistic and Robust Engineering Design (20 papers)Statistical Methods and Bayesian Inference (10 papers)

In The Last Decade

Naif Alotaibi

41 papers receiving 399 citations

Peers

Naif Alotaibi
Comparison fields: 5 of 82
  • Statistics and Probability 309
  • Statistics, Probability and Uncertainty 178
  • Global and Planetary Change 73
  • Management Science and Operations Research 53
  • Artificial Intelligence 47
Replace Aisha Fayomi with:
Aisha Fayomi Saudi Arabia
Eslam Hussam Saudi Arabia
Saima K. Khosa Saudi Arabia
El-Sayed A. El-Sherpieny Egypt
Mustapha Muhammad China
A. H. El-Bassiouny Egypt
M. E. Bakr Saudi Arabia
Abbas Pak Iran
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Citations per year

Countries citing papers authored by Naif Alotaibi

Since Specialization
Citations

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

Fields of papers citing papers by Naif Alotaibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naif Alotaibi

This figure shows the co-authorship network connecting the top 25 collaborators of Naif Alotaibi. A scholar is included among the top collaborators of Naif Alotaibi 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 Naif Alotaibi. Naif Alotaibi 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 0
2 0
3 6
4 2
5 6
6 22
7 6
8 24
9 18
10 7
11 23
12 32
13 13
14 4
15 15
16 17
17 8
18 8
19 2
20 9

About Naif Alotaibi

Naif Alotaibi is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 47 papers that have together received 449 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (33 papers), Probabilistic and Robust Engineering Design (20 papers) and Statistical Methods and Bayesian Inference (10 papers). The work is most often cited by research in Statistics and Probability (309 citations), Statistics, Probability and Uncertainty (178 citations) and Health Information Management (22 citations). Naif Alotaibi has collaborated with scholars based in Saudi Arabia, Egypt and Australia. Frequent co-authors include Salem A. Alyami, Ibrahim Elbatal, Mohammed Elgarhy, Ehab M. Almetwally, A. S. Al-Moisheer, Mansour Shrahili, Tabassum Naz Sindhu, Mohammad Ali Moni, Amer Ibrahim Al‐Omari and Anum Shafiq. Their work appears in journals such as Scientific Reports, Sensors and Sustainability.

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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