Ali Algarni

923 citations
63 papers · 710 · h-index 16

Impact in

Papers in

Ali Algarni

57 papers receiving 694 citations

Peers

Ali Algarni
Comparison fields: 5 of 89
  • Statistics and Probability 285
  • Statistics, Probability and Uncertainty 177
  • Health Information Management 33
  • Mechanics of Materials 168
  • Safety, Risk, Reliability and Quality 61
Replace Rui Pan with:
Rui Pan China
Yanping Wang China
Jacques de Maré Sweden
Xuchen Han United States
Umberto Alibrandi Singapore
J. Marcus Jobe United States
Francisco J. Rubio United Kingdom
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Chien‐Yu Peng Taiwan
Ali Algarni relative to Rui Pan China Rui Pan's profile →
Citations per field
00.5×10.4×
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Citations per year

Countries citing papers authored by Ali Algarni

Since Specialization
Citations

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

Fields of papers citing papers by Ali Algarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020114
2 201965
3 202146
4 202145
5 202242
6 202233
7 202230
8 202027
9 201917
10 202117
11 202216
12 201916
13 202015
14 202015
15 202215
16 202015
17 202014
18 202012
19 202011
20 201810

About Ali Algarni

Ali Algarni is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Management Science and Operations Research, having authored 63 papers that have together received 710 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (29 papers), Probabilistic and Robust Engineering Design (16 papers), Quantum Information and Cryptography (7 papers), Statistical Methods and Bayesian Inference (7 papers), Reliability and Maintenance Optimization (7 papers), Quantum Mechanics and Applications (6 papers), Hydrology and Drought Analysis (5 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics and Probability (285 citations), Statistics, Probability and Uncertainty (177 citations), Health Information Management (33 citations), Mechanics of Materials (168 citations) and Safety, Risk, Reliability and Quality (61 citations). Ali Algarni has collaborated with scholars based in Saudi Arabia, Egypt and Pakistan. Frequent co-authors include Abdullah M. Almarashi, S.R. Mahmoud, Abdelouahed Tounsi, Aisha Fayomi, Abdelmoumen Anis Bousahla, Abdeldjebbar Tounsi, Gamal A. Abd-Elmougod, Fouad Bourada, Amal S. Hassan and E.A. Adda Bedia. Their work appears in journals such as PLoS ONE, Journal of Intelligent & Fuzzy Systems, Journal of Russian Laser Research, Computational Intelligence and Neuroscience and Alexandria Engineering Journal.

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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