Azam Bastanfard

1.0k total citations
70 papers, 686 citations indexed

About

Azam Bastanfard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Azam Bastanfard has authored 70 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Azam Bastanfard's work include Speech and Audio Processing (12 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (8 papers). Azam Bastanfard is often cited by papers focused on Speech and Audio Processing (12 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (8 papers). Azam Bastanfard collaborates with scholars based in Iran, Canada and Japan. Azam Bastanfard's co-authors include Mohammad Mahdi Dehshibi, Javad Mohammadzadeh, Madjid Khalilian, M. Nakajima, Mohammad Reza Keyvanpour, Mohammad Teshnehlab, Hiromasa Takahashi, Saeed Shiry Ghidary, Amineh Amini and H. Takahashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

Azam Bastanfard

63 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azam Bastanfard Iran 17 344 174 129 91 56 70 686
José Luis Alba‐Castro Spain 16 455 1.3× 128 0.7× 257 2.0× 72 0.8× 14 0.3× 65 754
Xiaoqing Gu China 17 273 0.8× 409 2.4× 118 0.9× 121 1.3× 35 0.6× 69 997
João Magalhães Portugal 13 267 0.8× 237 1.4× 66 0.5× 45 0.5× 56 1.0× 84 559
Stefan Müller Germany 22 509 1.5× 606 3.5× 138 1.1× 121 1.3× 25 0.4× 130 1.5k
Andry Chowanda Indonesia 14 169 0.5× 215 1.2× 30 0.2× 108 1.2× 72 1.3× 93 665
Cagri Ozcinar Ireland 18 811 2.4× 55 0.3× 262 2.0× 83 0.9× 56 1.0× 59 1.2k
Ruifeng Xu China 14 211 0.6× 563 3.2× 42 0.3× 68 0.7× 41 0.7× 66 833
Anastasia Bezerianos France 22 889 2.6× 263 1.5× 146 1.1× 59 0.6× 157 2.8× 52 1.2k
Ali Ahmadi Iran 17 246 0.7× 231 1.3× 28 0.2× 31 0.3× 37 0.7× 83 714
Isabelle Hupont Spain 13 280 0.8× 193 1.1× 29 0.2× 123 1.4× 28 0.5× 39 603

Countries citing papers authored by Azam Bastanfard

Since Specialization
Citations

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

Fields of papers citing papers by Azam Bastanfard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azam Bastanfard

This figure shows the co-authorship network connecting the top 25 collaborators of Azam Bastanfard. A scholar is included among the top collaborators of Azam Bastanfard 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 Azam Bastanfard. Azam Bastanfard 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.
Mohammadzadeh, Javad, et al.. (2025). Optimized Deep Federated Privacy-Preserving Learning for Hierarchical Caching in Fog Computing. Contemporary Mathematics. 3646–3669.
2.
Bastanfard, Azam, et al.. (2025). DB-QM: A Comparative Quality Measurement and Its Prospective on Persian/Arabic Databases for OCR. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(7). 1–25.
3.
Khalilian, Madjid, et al.. (2024). Optimizing the Hybrid Feature Selection in the DNA Microarray for Cancer Diagnosis Using Fuzzy Entropy and the Giza Pyramid Construction Algorithm. International Journal of Computational Intelligence and Applications. 24(1). 1 indexed citations
4.
Mohammadzadeh, Javad, et al.. (2023). Semantic Relation Extraction: A Review of Approaches, Datasets, and Evaluation Methods With Looking at the Methods and Datasets in the Persian Language. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(7). 1–29. 8 indexed citations
5.
Bastanfard, Azam, et al.. (2023). Crowdsourcing of labeling image objects: an online gamification application for data collection. Multimedia Tools and Applications. 83(7). 20827–20860. 1 indexed citations
6.
Bastanfard, Azam, et al.. (2023). Adjustable method based on body parts for improving the accuracy of 3D reconstruction in visually important body parts from silhouettes. Multimedia Tools and Applications. 83(7). 21583–21613. 1 indexed citations
7.
Bastanfard, Azam, et al.. (2023). Speech emotion recognition in Persian based on stacked autoencoder by comparing local and global features. Multimedia Tools and Applications. 82(23). 36413–36430. 4 indexed citations
8.
Gharahbagh, Abdorreza Alavi, et al.. (2022). A Hierarchical modified AV1 codec for compression cartesian form of holograms in holo and object planes. Multimedia Tools and Applications. 82(6). 8303–8321. 1 indexed citations
9.
Bastanfard, Azam, et al.. (2022). Toward image super-resolution based on local regression and nonlocal means. Multimedia Tools and Applications. 81(16). 23473–23492. 25 indexed citations
10.
Mohammadzadeh, Javad, et al.. (2022). RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm. Computational Intelligence and Neuroscience. 2022. 1–21. 31 indexed citations
11.
Bastanfard, Azam, et al.. (2022). Collecting a database for emotional responses to simple and patterned two-color images. Multimedia Tools and Applications. 81(13). 18935–18953. 6 indexed citations
12.
Bastanfard, Azam, et al.. (2021). Toward competitive multi-agents in Polo game based on reinforcement learning. Multimedia Tools and Applications. 80(17). 26773–26793. 13 indexed citations
13.
Bastanfard, Azam, et al.. (2021). TRCLA: A Transfer Learning Approach to Reduce Negative Transfer for Cellular Learning Automata. IEEE Transactions on Neural Networks and Learning Systems. 34(5). 2480–2489. 40 indexed citations
14.
Bastanfard, Azam, et al.. (2020). Pattern Separation Network Based on the Hippocampus Activity for Handwritten Recognition. IEEE Access. 8. 212803–212817. 35 indexed citations
15.
Bastanfard, Azam, et al.. (2014). Study on Unit-Selection and Statistical Parametric Speech Synthesis Techniques. 7(1). 19–25.
16.
Dehshibi, Mohammad Mahdi, et al.. (2012). Ad-hoc Ma'qeli Script Generation Using Block Cellular Automata.. 7. 321–334. 7 indexed citations
17.
Dehshibi, Mohammad Mahdi & Azam Bastanfard. (2010). Portability: A New Challenge on Designing Family Image Database.. IPCV. 28(5). 270–276. 1 indexed citations
18.
Dehshibi, Mohammad Mahdi, et al.. (2010). LPT: Eye Features Localizer in an N-Dimensional Image Space.. IPCV. 347–352. 3 indexed citations
19.
Bastanfard, Azam, et al.. (2008). A novel algorithm for generating Muhammad pattern based on cellular automata. International Conference on Applied Mathematics. 339–344. 3 indexed citations
20.

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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