Ali Shakiba

476 total citations
32 papers, 369 citations indexed

About

Ali Shakiba is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ali Shakiba has authored 32 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Ali Shakiba's work include Chaos-based Image/Signal Encryption (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Cryptographic Implementations and Security (6 papers). Ali Shakiba is often cited by papers focused on Chaos-based Image/Signal Encryption (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Cryptographic Implementations and Security (6 papers). Ali Shakiba collaborates with scholars based in Iran, Australia and Italy. Ali Shakiba's co-authors include M. R. Hooshmandasl, Mohammad Heydari, Mohammad Reza Mahmoudi, Z. Avazzadeh, Carlo Cattani, Amir Kafshdar Goharshady, R. Keshavamurthy, Praveennath G. Koppad, Mohammad Alipour and Bijan Davvaz and has published in prestigious journals such as Nonlinear Dynamics, Communications in Nonlinear Science and Numerical Simulation and International Journal of Bifurcation and Chaos.

In The Last Decade

Ali Shakiba

29 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Shakiba Iran 11 116 112 84 73 58 32 369
Bin Pei China 14 72 0.6× 182 1.6× 67 0.8× 28 0.4× 52 0.9× 42 637
Ali F. Jameel Malaysia 10 26 0.2× 181 1.6× 16 0.2× 50 0.7× 104 1.8× 75 355
G. Arthi South Korea 13 33 0.3× 180 1.6× 56 0.7× 22 0.3× 97 1.7× 35 472
S. Raja Balachandar India 9 32 0.3× 152 1.4× 17 0.2× 39 0.5× 90 1.6× 42 299
Maulana Malik Indonesia 12 48 0.4× 34 0.3× 101 1.2× 55 0.8× 247 4.3× 40 407
Samy Wu Fung United States 9 60 0.5× 25 0.2× 28 0.3× 78 1.1× 23 0.4× 20 308
Youcheng Lou China 13 19 0.2× 25 0.2× 110 1.3× 119 1.6× 8 0.1× 36 842
Mohammad Khatim Hasan Malaysia 9 27 0.2× 71 0.6× 41 0.5× 29 0.4× 63 1.1× 46 263
Jiang Weisun China 6 55 0.5× 94 0.8× 57 0.7× 82 1.1× 65 1.1× 15 393
Jean Vignes France 10 25 0.2× 37 0.3× 213 2.5× 35 0.5× 87 1.5× 36 357

Countries citing papers authored by Ali Shakiba

Since Specialization
Citations

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

Fields of papers citing papers by Ali Shakiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Shakiba

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Shakiba. A scholar is included among the top collaborators of Ali Shakiba 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 Ali Shakiba. Ali Shakiba 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
1.
Goharshady, Amir Kafshdar, et al.. (2024). Optimal blocks for maximizing the transaction fee revenue of Bitcoin miners. Journal of Combinatorial Optimization. 49(1). 1 indexed citations
2.
Shakiba, Ali. (2023). Online Correlation Clustering for Dynamic Complete Signed Graphs. SSRN Electronic Journal.
3.
Goharshady, Amir Kafshdar, et al.. (2022). Optimal Mining: Maximizing Bitcoin Miners' Revenues from Transaction Fees. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 266–273. 10 indexed citations
4.
5.
Shakiba, Ali. (2022). A novel randomized chaotic bit-level image encryption algorithm based on a novel 2D-CICM hyper-chaotic mapping with CPA-security. Multimedia Tools and Applications. 82(12). 17631–17657. 3 indexed citations
6.
Shakiba, Ali, et al.. (2021). An image encryption algorithm with a novel chaotic coupled mapped lattice and chaotic image scrambling technique. Indonesian Journal of Electrical Engineering and Computer Science. 21(2). 1103–1103. 4 indexed citations
7.
Shakiba, Ali. (2021). A novel 2D cascade modulation couple hyperchaotic mapping for randomized image encryption. Multimedia Tools and Applications. 80(12). 17983–18006. 6 indexed citations
8.
Shakiba, Ali. (2021). Distributed Decision Making with S-approximation Spaces. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 29(2). 281–311. 3 indexed citations
9.
Shakiba, Ali. (2019). A randomized CPA-secure asymmetric-key chaotic color image encryption scheme based on the Chebyshev mappings and one-time pad. Journal of King Saud University - Computer and Information Sciences. 33(5). 562–571. 23 indexed citations
10.
11.
Hooshmandasl, M. R., et al.. (2018). On fixed-parameter tractability of the mixed domination problem for graphs with bounded tree-width. Discrete Mathematics & Theoretical Computer Science. vol. 20 no. 2(Graph Theory). 3 indexed citations
12.
Hooshmandasl, M. R., et al.. (2018). On the complexity of the outer-connected bondage and the outer-connected reinforcement problems. arXiv (Cornell University). 73. 466–477. 1 indexed citations
13.
Shakiba, Ali. (2018). Differentially private fuzzy C-means clustering algorithms for fuzzy datasets. 91–93. 4 indexed citations
14.
Heydari, Mohammad, Mohammad Reza Mahmoudi, Ali Shakiba, & Z. Avazzadeh. (2018). Chebyshev cardinal wavelets and their application in solving nonlinear stochastic differential equations with fractional Brownian motion. Communications in Nonlinear Science and Numerical Simulation. 64. 98–121. 80 indexed citations
15.
Shakiba, Ali, et al.. (2017). S-APPROXIMATION SPACES: A FUZZY APPROACH. Iranian journal of fuzzy systems. 14(2). 127–154. 9 indexed citations
16.
Shakiba, Ali & M. R. Hooshmandasl. (2016). Data volume reduction in covering approximation spaces with respect to twenty-two types of covering based rough sets. International Journal of Approximate Reasoning. 75. 13–38. 7 indexed citations
17.
Heydari, Mohammad, M. R. Hooshmandasl, Ali Shakiba, & Carlo Cattani. (2016). Legendre wavelets Galerkin method for solving nonlinear stochastic integral equations. Nonlinear Dynamics. 85(2). 1185–1202. 41 indexed citations
18.
Heydari, Mohammad, M. R. Hooshmandasl, Ali Shakiba, & Carlo Cattani. (2016). An efficient computational method based on the hat functions for solving fractional optimal control problems. Tbilisi Mathematical Journal. 9(1). 16 indexed citations
19.
Lak, Razyeh, et al.. (2015). Sedimentary and Environmental Geochemistry of metals in the surface Sediments of the North-west of Persian Gulf (Boushehr Province Area). 1 indexed citations
20.
Shakiba, Ali, et al.. (2014). S-Approximation: A New Approach to Algebraic Approximation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2014. 1–5. 12 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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