Zahid Akhtar

3.5k total citations
123 papers, 2.0k citations indexed

About

Zahid Akhtar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Zahid Akhtar has authored 123 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Vision and Pattern Recognition, 65 papers in Signal Processing and 32 papers in Information Systems. Recurrent topics in Zahid Akhtar's work include Biometric Identification and Security (51 papers), Face recognition and analysis (35 papers) and User Authentication and Security Systems (24 papers). Zahid Akhtar is often cited by papers focused on Biometric Identification and Security (51 papers), Face recognition and analysis (35 papers) and User Authentication and Security Systems (24 papers). Zahid Akhtar collaborates with scholars based in United States, Algeria and Italy. Zahid Akhtar's co-authors include Dipankar Dasgupta, Kamran Siddique, Gian Luca Foresti, Tiago H. Falk, Çiğdem Eroğlu Erdem, Abdelouahab Attıa, Sajib Sen, Yangwoo Kim, Giorgio Fumera and Gian Luca Marcialis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zahid Akhtar

111 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zahid Akhtar United States 23 952 888 424 413 281 123 2.0k
KokSheik Wong Malaysia 25 1.6k 1.7× 561 0.6× 597 1.4× 371 0.9× 205 0.7× 157 2.5k
Pradeep K. Atrey United States 23 1.2k 1.3× 660 0.7× 962 2.3× 590 1.4× 349 1.2× 126 2.7k
Hugo Jair Escalante Mexico 29 1.3k 1.3× 465 0.5× 1.2k 2.8× 291 0.7× 77 0.3× 158 2.9k
Shervin Minaee United States 12 708 0.7× 251 0.3× 902 2.1× 260 0.6× 54 0.2× 20 2.1k
Hong Va Leong Hong Kong 23 373 0.4× 278 0.3× 325 0.8× 250 0.6× 885 3.1× 157 1.8k
Sangyoun Lee South Korea 26 1.4k 1.5× 648 0.7× 390 0.9× 226 0.5× 154 0.5× 157 2.1k
Felix Juefei-Xu United States 26 1.6k 1.7× 587 0.7× 1.0k 2.4× 231 0.6× 96 0.3× 85 2.6k
Gongping Yang China 28 1.2k 1.3× 1.4k 1.6× 409 1.0× 289 0.7× 57 0.2× 136 3.0k
Jean‐Luc Dugelay France 29 3.6k 3.8× 1.2k 1.4× 573 1.4× 358 0.9× 60 0.2× 226 4.1k
Ahmad Y. Javaid United States 22 338 0.4× 655 0.7× 1.0k 2.4× 285 0.7× 1.1k 3.9× 84 2.2k

Countries citing papers authored by Zahid Akhtar

Since Specialization
Citations

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

Fields of papers citing papers by Zahid Akhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zahid Akhtar

This figure shows the co-authorship network connecting the top 25 collaborators of Zahid Akhtar. A scholar is included among the top collaborators of Zahid Akhtar 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 Zahid Akhtar. Zahid Akhtar 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.
Akhtar, Zahid, et al.. (2026). What skills do cybersecurity professionals need?. Information and Computer Security. 1–19.
2.
Akhtar, Zahid, et al.. (2025). WaveletFusion: enhancing plant leaf disease classification with multi-scale feature extraction and explainable AI. Expert Systems with Applications. 285. 127947–127947.
3.
Attıa, Abdelouahab, et al.. (2024). A comprehensive review of vulnerabilities and attack strategies in cancelable biometric systems. Egyptian Informatics Journal. 27. 100511–100511. 3 indexed citations
4.
Sharif, Muhammad, et al.. (2024). Phishing Website Detection Using Improved Multilayered Convolutional Neural Networks. SSRN Electronic Journal.
5.
Wani, Niyaz Ahmad, et al.. (2024). Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network. IEEE Access. 12. 195943–195959.
6.
Akhtar, Zahid, et al.. (2024). Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition?. 162–168. 7 indexed citations
7.
Prajapat, Sunil, et al.. (2024). Hybrid Quantum–Classical Neural Networks for Efficient MNIST Binary Image Classification. Mathematics. 12(23). 3684–3684.
8.
Akhtar, Zahid, et al.. (2023). Investigating TrustZone: A Comprehensive Analysis. Security and Communication Networks. 2023. 1–19. 1 indexed citations
9.
Akhtar, Zahid. (2023). Deepfakes Generation and Detection: A Short Survey. Journal of Imaging. 9(1). 18–18. 46 indexed citations
10.
Oktay, Ayşe Betül, et al.. (2022). Dental biometric systems: a comparative study of conventional descriptors and deep learning-based features. Multimedia Tools and Applications. 81(20). 28183–28206. 1 indexed citations
11.
Attıa, Abdelouahab, et al.. (2021). A Survey on Arabic Handwritten Script Recognition Systems. 11(2). 1–17. 2 indexed citations
12.
Attıa, Abdelouahab, et al.. (2021). USER ACTIVITIES ANALYSIS IN LOCATION BASED SOCIAL NETWORK VIA ASSOCIATION RULES. SHILAP Revista de lepidopterología. 11(3). 2328–2336. 1 indexed citations
13.
Baraković, Sabina, Jasmina Baraković Husić, Joost van Hoof, et al.. (2020). Quality of Life Framework for Personalised Ageing: A Systematic Review of ICT Solutions. International Journal of Environmental Research and Public Health. 17(8). 2940–2940. 33 indexed citations
14.
Akhtar, Zahid, et al.. (2019). Malware Analytics: Review of Data Mining, Machine Learning and Big Data Perspectives. 649–656. 13 indexed citations
15.
Akhtar, Zahid & Dipankar Dasgupta. (2019). A Comparative Evaluation of Local Feature Descriptors for DeepFakes Detection. 1–5. 29 indexed citations
16.
Akhtar, Zahid, Abdenour Hadid, Mark Nixon, et al.. (2018). Biometrics: In Search of Identity and Security (Q & A). IEEE Multimedia. 25(3). 22–35. 9 indexed citations
17.
Akhtar, Zahid, Christian Micheloni, Claudio Piciarelli, & Gian Luca Foresti. (2014). MoBio_LivDet: Mobile biometric liveness detection. Institutional Research Information System (University of Udine). 187–192. 14 indexed citations
18.
Hussain, Nawab, et al.. (2013). Common fixed point theorems for generalized contractive mappings with applications. Fixed Point Theory and Applications. 2013(1). 11 indexed citations
19.
Akhtar, Zahid, Giorgio Fumera, Gian Luca Marcialis, & Fabio Roli. (2012). Evaluation of multimodal biometric score fusion rules under spoof attacks. UNICA IRIS Institutional Research Information System (University of Cagliari). 21 indexed citations
20.
Akhtar, Zahid, et al.. (2011). Multimodal Biometric Fusion: Performance under Spoof Attacks. SHILAP Revista de lepidopterología. 20(4). 353–372. 2 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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