Amir Anees

1.4k total citations
29 papers, 1.1k citations indexed

About

Amir Anees is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Amir Anees has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in Amir Anees's work include Chaos-based Image/Signal Encryption (19 papers), Cryptographic Implementations and Security (10 papers) and Cellular Automata and Applications (8 papers). Amir Anees is often cited by papers focused on Chaos-based Image/Signal Encryption (19 papers), Cryptographic Implementations and Security (10 papers) and Cellular Automata and Applications (8 papers). Amir Anees collaborates with scholars based in Pakistan, Australia and Qatar. Amir Anees's co-authors include Iqtadar Hussain, Yi‐Ping Phoebe Chen, Adil Masood Siddiqui, Fawad Ahmed, Muhammad Aslam, Muhammad Asif Gondal, Zeeshan Ahmed, Abdulmohsen Algarni, Jameel Ahmed and Mohammed Yakoob Siyal and has published in prestigious journals such as Applied Energy, IEEE Access and Pattern Recognition.

In The Last Decade

Amir Anees

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Anees Pakistan 22 912 470 165 158 104 29 1.1k
Fawad Masood Pakistan 14 717 0.8× 369 0.8× 153 0.9× 48 0.3× 79 0.8× 17 982
Akram Belazi Tunisia 16 1.4k 1.6× 637 1.4× 371 2.2× 90 0.6× 208 2.0× 19 1.7k
Padmapriya Praveenkumar India 16 596 0.7× 159 0.3× 157 1.0× 86 0.5× 81 0.8× 51 787
Wafa’ Hamdan Alshoura Malaysia 11 500 0.5× 136 0.3× 130 0.8× 35 0.2× 51 0.5× 13 695
Amjad Hussain Zahid Pakistan 15 491 0.5× 422 0.9× 47 0.3× 95 0.6× 45 0.4× 22 765
Xiaoqiang Zhu China 10 413 0.5× 149 0.3× 97 0.6× 232 1.5× 54 0.5× 19 712
Alaa Kadhim Farhan Iraq 16 468 0.5× 312 0.7× 54 0.3× 53 0.3× 63 0.6× 85 780
Jameel Ahmed Pakistan 10 457 0.5× 151 0.3× 61 0.4× 77 0.5× 23 0.2× 40 633
Hussam S. Alhadawi Malaysia 14 416 0.5× 439 0.9× 69 0.4× 58 0.4× 61 0.6× 24 638

Countries citing papers authored by Amir Anees

Since Specialization
Citations

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

Fields of papers citing papers by Amir Anees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Anees

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Anees. A scholar is included among the top collaborators of Amir Anees 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 Amir Anees. Amir Anees 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.
Anees, Amir, Matthew Field, & Lois Holloway. (2024). A neural network-based vertical federated learning framework with server integration. Engineering Applications of Artificial Intelligence. 138. 109276–109276. 2 indexed citations
2.
Hussain, Iqtadar, et al.. (2023). A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group. Computational and Applied Mathematics. 42(2). 22 indexed citations
3.
Anees, Amir, et al.. (2022). Machine Learning and Applied Cryptography. Security and Communication Networks. 2022. 1–3. 8 indexed citations
4.
Nazir, Shah, et al.. (2021). Security and provenance for Internet of Health Things: A systematic literature review. Journal of Software Evolution and Process. 33(5). 22 indexed citations
5.
Hussain, Iqtadar, et al.. (2021). A image encryption algorithm based on chaotic Lorenz system and novel primitive polynomial S-boxes. Multimedia Tools and Applications. 49 indexed citations
6.
Anees, Amir & Iqtadar Hussain. (2019). A Novel Method to Identify Initial Values of Chaotic Maps in Cybersecurity. Symmetry. 11(2). 140–140. 37 indexed citations
7.
Hussain, Iqtadar, et al.. (2019). Construction of S-Box Based on Chaotic Map and Algebraic Structures. Symmetry. 11(3). 351–351. 55 indexed citations
8.
Anees, Amir & Yi‐Ping Phoebe Chen. (2019). Designing secure substitution boxes based on permutation of symmetric group. Neural Computing and Applications. 32(11). 7045–7056. 48 indexed citations
9.
Hussain, Iqtadar, Amir Anees, Ali H. Alkhaldi, et al.. (2019). Image encryption based on Chebyshev chaotic map and S8 S-boxes. Optica Applicata. 49. 32 indexed citations
10.
Jamal, Sajjad Shaukat, et al.. (2019). Construction of Cryptographic S-Boxes Based on Mobius Transformation and Chaotic Tent-Sine System. IEEE Access. 7. 173273–173285. 65 indexed citations
11.
Anees, Amir, Iqtadar Hussain, Ali H. Alkhaldi, & Muhammad Aslam. (2018). Linear triangular optimization technique and pricing scheme in residential energy management systems. Results in Physics. 9. 858–865. 8 indexed citations
12.
Anees, Amir, Iqtadar Hussain, Abdulmohsen Algarni, & Muhammad Aslam. (2018). A Robust Watermarking Scheme for Online Multimedia Copyright Protection Using New Chaotic Map. Security and Communication Networks. 2018. 1–20. 25 indexed citations
13.
Hussain, Iqtadar, et al.. (2018). Applied Cryptography and Noise Resistant Data Security. Security and Communication Networks. 2018. 1–2. 12 indexed citations
14.
Hussain, Iqtadar, Amir Anees, Ali H. Alkhaldi, Abdulmohsen Algarni, & Muhammad Aslam. (2018). Construction of chaotic quantum magnets and matrix Lorenz systems S-boxes and their applications. Chinese Journal of Physics. 56(4). 1609–1621. 53 indexed citations
15.
Hussain, Iqtadar, Amir Anees, & Abdulmohsen Algarni. (2018). A novel algorithm for thermal image encryption. Journal of Integrative Neuroscience. 17(3-4). 447–461. 17 indexed citations
16.
Anees, Amir & Muhammad Asif Gondal. (2015). Construction of Nonlinear Component for Block Cipher Based on One-Dimensional Chaotic Map. 3D Research. 6(2). 19 indexed citations
17.
Ahmed, Fawad, et al.. (2014). A Noisy Channel Tolerant Image Encryption Scheme. Wireless Personal Communications. 77(4). 2771–2791. 76 indexed citations
18.
Anees, Amir, Waqar A. Khan, Muhammad Asif Gondal, & Iqtadar Hussain. (2013). Application of Mean of Absolute Deviation Method for the Selection of Best Nonlinear Component Based on Video Encryption. Zeitschrift für Naturforschung A. 68(6-7). 479–482. 28 indexed citations
19.
Anees, Amir, Adil Masood Siddiqui, Jameel Ahmed, & Iqtadar Hussain. (2013). A technique for digital steganography using chaotic maps. Nonlinear Dynamics. 75(4). 807–816. 85 indexed citations
20.
Anees, Amir & Adil Masood Siddiqui. (2013). A technique for digital watermarking in combined spatial and transform domains using chaotic maps. 119–124. 21 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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