A. Akhshani

57 total papers · 2.0k total citations
45 papers, 1.6k citations indexed

About

A. Akhshani is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, A. Akhshani has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 22 papers in Computer Vision and Pattern Recognition and 15 papers in Mathematical Physics. Recurrent topics in A. Akhshani's work include Chaos-based Image/Signal Encryption (22 papers), Chaos control and synchronization (16 papers) and Mathematical Dynamics and Fractals (13 papers). A. Akhshani is often cited by papers focused on Chaos-based Image/Signal Encryption (22 papers), Chaos control and synchronization (16 papers) and Mathematical Dynamics and Fractals (13 papers). A. Akhshani collaborates with scholars based in Iran, Malaysia and Poland. A. Akhshani's co-authors include Amir Akhavan, S. Behnia, Hadi Mahmodi, Azman Samsudin, Z. Hassan, Siew-Choo Lim, Sodeif Ahadpour, Akbar Mobaraki, H. Abu Hassan and Mostafa Ghaderian and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry C and Physics Letters A.

In The Last Decade

A. Akhshani

40 papers receiving 1.5k citations

Hit Papers

A novel algorithm for ima... 2006 2026 2012 2019 2006 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A. Akhshani 1.4k 483 388 382 289 45 1.6k
S. Behnia 916 0.7× 259 0.5× 254 0.7× 323 0.8× 242 0.8× 98 1.5k
Wassim Alexan 1.3k 1.0× 433 0.9× 423 1.1× 251 0.7× 155 0.5× 95 1.6k
Chong Fu 1.3k 1.0× 327 0.7× 321 0.8× 169 0.4× 345 1.2× 27 1.4k
Amir Akhavan 1.4k 1.1× 519 1.1× 396 1.0× 356 0.9× 286 1.0× 32 1.6k
Je Sen Teh 1.3k 1.0× 441 0.9× 326 0.8× 338 0.9× 223 0.8× 50 1.5k
Xiaoling Huang 1.7k 1.3× 481 1.0× 399 1.0× 228 0.6× 279 1.0× 72 2.0k
R.M. López-Gutiérrez 804 0.6× 221 0.5× 275 0.7× 600 1.6× 155 0.5× 51 1.3k
Wenying Wen 1.3k 0.9× 277 0.6× 190 0.5× 83 0.2× 145 0.5× 78 1.5k
Long Bao 1.4k 1.0× 294 0.6× 346 0.9× 237 0.6× 229 0.8× 23 1.5k
M. Shub 306 0.2× 582 1.2× 974 2.5× 293 0.8× 514 1.8× 34 2.1k

Countries citing papers authored by A. Akhshani

Since Specialization
Citations

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

Fields of papers citing papers by A. Akhshani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Akhshani

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

All Works

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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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