S. Askari

773 total citations
22 papers, 589 citations indexed

About

S. Askari is a scholar working on Computational Mechanics, Aerospace Engineering and Signal Processing. According to data from OpenAlex, S. Askari has authored 22 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Aerospace Engineering and 5 papers in Signal Processing. Recurrent topics in S. Askari's work include Fluid Dynamics and Turbulent Flows (5 papers), Advanced Clustering Algorithms Research (5 papers) and Time Series Analysis and Forecasting (4 papers). S. Askari is often cited by papers focused on Fluid Dynamics and Turbulent Flows (5 papers), Advanced Clustering Algorithms Research (5 papers) and Time Series Analysis and Forecasting (4 papers). S. Askari collaborates with scholars based in Iran and Finland. S. Askari's co-authors include Nader Montazerin, M.H. Fazel Zarandi, ‬Mohammad Hassan Shojaeefard, K. Goudarzi, Susanna C. Fagerholm, Matilda Backholm and Heidi Harjunpää and has published in prestigious journals such as Expert Systems with Applications, Energy and Fuzzy Sets and Systems.

In The Last Decade

S. Askari

21 papers receiving 574 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Askari Iran	11	254	121	114	96	74	22	589
Weina Wang China	12	331 1.3×	150 1.2×	193 1.7×	151 1.6×	30 0.4×	25	761
Nader Montazerin Iran	13	153 0.6×	119 1.0×	65 0.6×	68 0.7×	115 1.6×	40	542
Boris N. Oreshkin Canada	13	376 1.5×	116 1.0×	180 1.6×	132 1.4×	26 0.4×	30	887
Yu Bai United States	16	209 0.8×	87 0.7×	151 1.3×	49 0.5×	32 0.4×	69	916
Héctor Allende Chile	11	186 0.7×	59 0.5×	83 0.7×	33 0.3×	49 0.7×	59	474
Şeyda Ertekin United States	12	549 2.2×	132 1.1×	132 1.2×	49 0.5×	19 0.3×	32	912
Babita Majhi India	11	157 0.6×	123 1.0×	33 0.3×	73 0.8×	14 0.2×	44	518
Yatong Zhou China	15	214 0.8×	29 0.2×	145 1.3×	98 1.0×	39 0.5×	71	590
Jiarong Shi China	12	215 0.8×	129 1.1×	95 0.8×	27 0.3×	30 0.4×	37	638

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-authorship network of co-authors of S. Askari

This figure shows the co-authorship network connecting the top 25 collaborators of S. Askari. A scholar is included among the top collaborators of S. Askari 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 S. Askari. S. Askari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Askari, S., et al.. (2025). Soft matter mechanics of immune cell aggregates. Journal of The Royal Society Interface. 22(228). 20250231–20250231. 1 indexed citations

Askari, S., Nader Montazerin, & M.H. Fazel Zarandi. (2020). Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization. Applied Soft Computing. 92. 106332–106332. 10 indexed citations

Askari, S.. (2020). A critical note on inverse fuzzy time series algorithms. Fuzzy Sets and Systems. 421. 193–199.

Askari, S.. (2020). Noise-resistant fuzzy clustering algorithm. Granular Computing. 6(4). 815–828. 9 indexed citations

Askari, S.. (2017). A novel and fast MIMO fuzzy inference system based on a class of fuzzy clustering algorithms with interpretability and complexity analysis. Expert Systems with Applications. 84. 301–322. 18 indexed citations

Askari, S., et al.. (2016). A Novel Method for Iris Recognition Using BP Neural Network and Parallel Computing. Advances in computer science : an international journal. 5(2). 1–6. 2 indexed citations

Askari, S., Nader Montazerin, & M.H. Fazel Zarandi. (2016). Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data. Applied Soft Computing. 53. 262–283. 62 indexed citations

Askari, S., et al.. (2016). Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof. Neurocomputing. 219. 186–202. 56 indexed citations

Askari, S., Nader Montazerin, & M.H. Fazel Zarandi. (2016). Gas networks simulation from disaggregation of low frequency nodal gas consumption. Energy. 112. 1286–1298. 4 indexed citations

10.

Askari, S., Nader Montazerin, & M.H. Fazel Zarandi. (2015). Forecasting semi-dynamic response of natural gas networks to nodal gas consumptions using genetic fuzzy systems. Energy. 83. 252–266. 14 indexed citations

11.

Askari, S., Nader Montazerin, & M.H. Fazel Zarandi. (2015). High-Frequency Modeling of Natural Gas Networks From Low-Frequency Nodal Meter Readings Using Time-Series Disaggregation. IEEE Transactions on Industrial Informatics. 12(1). 136–147. 11 indexed citations

12.

Askari, S., Nader Montazerin, & M.H. Fazel Zarandi. (2015). A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables. Applied Soft Computing. 35. 151–160. 53 indexed citations

13.

Askari, S. & Nader Montazerin. (2014). A high-order multi-variable Fuzzy Time Series forecasting algorithm based on fuzzy clustering. Expert Systems with Applications. 42(4). 2121–2135. 80 indexed citations

14.

Askari, S.. (2012). An analytical approach for stand-off distance of detached shock waves. Aerospace Science and Technology. 28(1). 384–390. 9 indexed citations

15.

Askari, S. & ‬Mohammad Hassan Shojaeefard. (2012). Experimental and numerical study of an airfoil in combination with a cross flow fan. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 227(7). 1173–1187. 6 indexed citations

16.

Askari, S., ‬Mohammad Hassan Shojaeefard, & K. Goudarzi. (2011). Numerical and analytical solution of compressible flow over double wedge and biconvex airfoils. Engineering Computations. 28(4). 441–471. 2 indexed citations

17.

Askari, S. & ‬Mohammad Hassan Shojaeefard. (2011). MATHEMATICAL MODELING OF POTENTIAL FLOW OVER A ROTATING CYLINDER. 24(1). 55–63. 2 indexed citations

18.

Askari, S., ‬Mohammad Hassan Shojaeefard, & K. Goudarzi. (2010). Experimental Study of Stall in an Airfoil with Forced Airflow Provided by an Integrated Cross-Flow Fan. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 225(1). 97–104. 8 indexed citations

19.

Askari, S. & ‬Mohammad Hassan Shojaeefard. (2009). Numerical simulation of flow over an airfoil with a cross flow fan as a lift generating member in a new aircraft model. Aircraft Engineering and Aerospace Technology. 81(1). 59–64. 15 indexed citations

20.

Askari, S. & ‬Mohammad Hassan Shojaeefard. (2009). Shape optimization of the airfoil comprising a cross flow fan. Aircraft Engineering and Aerospace Technology. 81(5). 407–415. 18 indexed citations

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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