Mohammad Sabokrou

2.8k total citations · 1 hit paper
36 papers, 1.3k citations indexed

About

Mohammad Sabokrou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mohammad Sabokrou has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Mohammad Sabokrou's work include Anomaly Detection Techniques and Applications (14 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Neural Network Applications (6 papers). Mohammad Sabokrou is often cited by papers focused on Anomaly Detection Techniques and Applications (14 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Neural Network Applications (6 papers). Mohammad Sabokrou collaborates with scholars based in Iran, Finland and Japan. Mohammad Sabokrou's co-authors include Mahmood Fathy, Reinhard Klette, Abdenour Hadid, Brahim Nini, Djamila Romaissa Beddiar, Mohsen Fayyaz, Mohammad Shahverdy, Reza Berangi, Guoying Zhao and Ehsan Adeli and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohammad Sabokrou

34 papers receiving 1.3k citations

Hit Papers

Vision-based human activity recognition: a survey 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Vision-based human activity recognition: a survey
    2020 303 citations Djamila Romaissa Beddiar, Brahim Nini et al. Multimedia Tools and Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Sabokrou Iran 14 777 678 361 238 140 36 1.3k
Ahmad Jalal Pakistan 29 367 0.5× 1.4k 2.1× 148 0.4× 384 1.6× 97 0.7× 87 2.1k
Lorenzo Seidenari Italy 21 478 0.6× 1.2k 1.8× 91 0.3× 193 0.8× 85 0.6× 66 1.5k
Todd Hester United States 16 816 1.1× 289 0.4× 197 0.5× 202 0.8× 141 1.0× 29 1.6k
Parham M. Kebria Australia 16 319 0.4× 175 0.3× 109 0.3× 146 0.6× 92 0.7× 48 1.2k
Naveen Aggarwal India 19 239 0.3× 499 0.7× 266 0.7× 59 0.2× 35 0.3× 99 1.4k
Dorothy Monekosso United Kingdom 12 443 0.6× 745 1.1× 110 0.3× 55 0.2× 16 0.1× 63 1.3k
Fabio Lavagetto Italy 25 245 0.3× 618 0.9× 530 1.5× 276 1.2× 27 0.2× 134 1.9k
N. Muthukumaran India 25 172 0.2× 263 0.4× 351 1.0× 122 0.5× 125 0.9× 108 1.5k
Shaharyar Kamal South Korea 23 533 0.7× 1.5k 2.2× 183 0.5× 391 1.6× 27 0.2× 47 1.9k
Md. Mahmudul Hasan Bangladesh 13 411 0.5× 74 0.1× 432 1.2× 64 0.3× 44 0.3× 71 1.1k

Countries citing papers authored by Mohammad Sabokrou

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Sabokrou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Sabokrou

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Sabokrou. A scholar is included among the top collaborators of Mohammad Sabokrou 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 Mohammad Sabokrou. Mohammad Sabokrou 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.
Rastgoo, Razieh, et al.. (2024). Projan: A probabilistic trojan attack on deep neural networks. Knowledge-Based Systems. 304. 112565–112565. 2 indexed citations
2.
Rastgoo, Razieh, Kourosh Kiani, Sérgio Escalera, & Mohammad Sabokrou. (2024). Multi-modal zero-shot dynamic hand gesture recognition. Expert Systems with Applications. 247. 123349–123349. 22 indexed citations
3.
Sabokrou, Mohammad, et al.. (2024). Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving. 14885–14894. 6 indexed citations
4.
Sabokrou, Mohammad, et al.. (2024). Explainability of Vision Transformers:  a Comprehensive Review and New Perspectives. SSRN Electronic Journal. 5 indexed citations
5.
Habibi, Jafar, et al.. (2024). Universal Novelty Detection Through Adaptive Contrastive Learning. 22914–22923. 4 indexed citations
6.
Esmaeili, Marzieh, et al.. (2023). Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets. IEEE Access. 11. 17906–17921. 18 indexed citations
7.
Rastgoo, Razieh, et al.. (2023). Diverse hand gesture recognition dataset. Multimedia Tools and Applications. 83(17). 50245–50267. 10 indexed citations
8.
Sabokrou, Mohammad, et al.. (2023). Explainability of Vision Transformers: A Comprehensive Review and New Perspectives. arXiv (Cornell University). 1 indexed citations
9.
Rastgoo, Razieh, Kourosh Kiani, Sérgio Escalera, Vassilis Athitsos, & Mohammad Sabokrou. (2023). A survey on recent advances in Sign Language Production. Expert Systems with Applications. 243. 122846–122846. 13 indexed citations
10.
Sabokrou, Mohammad, et al.. (2023). Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding. IEEE Transactions on Fuzzy Systems. 31(9). 3069–3080. 25 indexed citations
11.
Sabokrou, Mohammad, et al.. (2022). Imaging Time Series for Deep Embedded Clustering: a Cryptocurrency Regime Detection Use Case. 1–6. 1 indexed citations
12.
Sabokrou, Mohammad, et al.. (2021). Deep-HR: Fast heart rate estimation from face video under realistic conditions. Expert Systems with Applications. 186. 115596–115596. 35 indexed citations
13.
Sabokrou, Mohammad, et al.. (2021). Maximising robustness and diversity for improving the deep neural network safety. Electronics Letters. 57(3). 116–118. 1 indexed citations
14.
Lei, Xun, et al.. (2021). Low-Voltage Energy Efficient Neural Inference by Leveraging Fault Detection Techniques. University of Oulu Repository (University of Oulu). 1–5. 5 indexed citations
15.
Sabokrou, Mohammad, Mahmood Fathy, Guoying Zhao, & Ehsan Adeli. (2020). Deep End-to-End One-Class Classifier. IEEE Transactions on Neural Networks and Learning Systems. 32(2). 675–684. 78 indexed citations
16.
Shahverdy, Mohammad, Mahmood Fathy, Reza Berangi, & Mohammad Sabokrou. (2020). Driver behavior detection and classification using deep convolutional neural networks. Expert Systems with Applications. 149. 113240–113240. 220 indexed citations
17.
Fallah, Mazyar, et al.. (2020). Persian OCR with Cascaded Convolutional Neural Networks Supported by Language Model. 313. 227–232. 1 indexed citations
18.
Beddiar, Djamila Romaissa, Brahim Nini, Mohammad Sabokrou, & Abdenour Hadid. (2020). Vision-based human activity recognition: a survey. Multimedia Tools and Applications. 79(41-42). 30509–30555. 303 indexed citations breakdown →
19.
Sabokrou, Mohammad, et al.. (2017). Fast and accurate detection and localization of abnormal behavior in crowded scenes. Machine Vision and Applications. 28(8). 965–985. 18 indexed citations
20.
Sabokrou, Mohammad, et al.. (2011). Region-based multi-spectral image segmentation using evolutionary strategies. 1. 2854–2858.

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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