S. Askari
Impact in
-
- Stock Market Forecasting Methods
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
-
- Time Series Analysis and Forecasting 4
-
- Fluid Dynamics and Turbulent Flows 3
- Co-authors
- Nader Montazerin (8 shared papers)M.H. Fazel Zarandi (7 shared papers)Mohammad Hassan Shojaeefard (5 shared papers)Koorosh Goudarzi (2 shared papers)Heidi Harjunpää (1 shared paper)Matilda Backholm (1 shared paper)Susanna Carola Fagerholm (1 shared paper)
In The Last Decade
S. Askari
18 papers receiving 380 citations
Peers
Comparison fields: 5 of 60
- Management Science and Operations Research 117
- Signal Processing 76
- Artificial Intelligence 173
- Media Technology 31
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by S. Askari
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2016 | 68 | |
| 3 | 2016 | 57 | |
| 4 | 2015 | 55 | |
| 5 | 2017 | 19 | |
| 6 | 2009 | 18 | |
| 7 | 2009 | 15 | |
| 8 | 2015 | 13 | |
| 9 | 2012 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2010 | 8 | |
| 14 | 2016 | 4 | |
| 15 | 2011 | 3 | |
| 16 | A Novel Method for Iris Recognition Using BP Neural Network and Parallel Computing | 2016 | 2 |
| 17 | MATHEMATICAL MODELING OF POTENTIAL FLOW OVER A ROTATING CYLINDER | 2011 | 2 |
| 18 | 2025 | 1 | |
| 19 | 2020 | 0 |
About S. Askari
S. Askari is a scholar working on Signal Processing, Computational Mechanics, Aerospace Engineering, Management Science and Operations Research and Control and Systems Engineering, having authored 19 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (4 papers), Time Series Analysis and Forecasting (4 papers), Complex Systems and Time Series Analysis (3 papers), Energy Load and Power Forecasting (3 papers), Fluid Dynamics and Turbulent Flows (3 papers), Stock Market Forecasting Methods (3 papers), Process Optimization and Integration (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Management Science and Operations Research (117 citations), Signal Processing (76 citations), Artificial Intelligence (173 citations), Media Technology (31 citations) and Computer Vision and Pattern Recognition (64 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, Koorosh Goudarzi, Heidi Harjunpää, Matilda Backholm and Susanna Carola Fagerholm. Their work appears in journals such as Applied Soft Computing, Expert Systems with Applications, 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.