S. Askari

21 papers receiving 574 citations

Peers

S. Askari
Comparison fields: 5 of 88
  • Management Science and Operations Research 121
  • Signal Processing 96
  • Artificial Intelligence 254
  • Computer Vision and Pattern Recognition 114
  • Media Technology 44
Replace Weina Wang with:
Weina Wang China
Nader Montazerin Iran
Yu Bai United States
Şeyda Ertekin United States
Héctor Allende Chile
Boris N. Oreshkin Canada
Jiarong Shi China
Ivan Jordanov United Kingdom
Zhongyang Han China
S. Askari relative to Weina Wang China Weina Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Askari

Since Specialization
Citations

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

Fields of papers citing papers by S. Askari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside S. Askari, 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 S. Askari Line = papers co-authored together S. Askari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2 201480
3 201662
4 201656
5 201553
6 201718
7 200918
8 200915
9 201514
10 201511
11 202010
12 201210
13 20209
14 20129
15 20108
16 20126
17 20164
18
A Novel Method for Iris Recognition Using BP Neural Network and Parallel Computing
20162
19 20112
20
MATHEMATICAL MODELING OF POTENTIAL FLOW OVER A ROTATING CYLINDER
20112

About S. Askari

S. Askari is a scholar working on Computational Mechanics, Aerospace Engineering, Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 22 papers that have together received 589 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (5 papers), Advanced Clustering Algorithms Research (5 papers), Time Series Analysis and Forecasting (4 papers), Aerodynamics and Acoustics in Jet Flows (4 papers), Face and Expression Recognition (3 papers), Process Optimization and Integration (3 papers), Stock Market Forecasting Methods (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Management Science and Operations Research (121 citations), Signal Processing (96 citations), Artificial Intelligence (254 citations), Computer Vision and Pattern Recognition (114 citations) and Media Technology (44 citations). S. Askari has collaborated with scholars based in Iran and Finland. Frequent co-authors include Nader Montazerin, M.H. Fazel Zarandi, ‬Mohammad Hassan Shojaeefard, K. Goudarzi, Heidi Harjunpää, Susanna C. Fagerholm and Matilda Backholm. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing, Energy, Aerospace Science and Technology and IEEE Transactions on Industrial Informatics.

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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