Muhammad Zaigham Zaheer

807 total citations
31 papers, 427 citations indexed

About

Muhammad Zaigham Zaheer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Zaigham Zaheer has authored 31 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Zaigham Zaheer's work include Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (11 papers) and Artificial Immune Systems Applications (6 papers). Muhammad Zaigham Zaheer is often cited by papers focused on Anomaly Detection Techniques and Applications (14 papers), Network Security and Intrusion Detection (11 papers) and Artificial Immune Systems Applications (6 papers). Muhammad Zaigham Zaheer collaborates with scholars based in United Arab Emirates, South Korea and Pakistan. Muhammad Zaigham Zaheer's co-authors include Seung‐Ik Lee, Arif Mahmood, Marcella Astrid, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Jin Ha Lee, Karthik Nandakumar, Suzi Seroja Sarnin and Beom-Su Seo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Muhammad Zaigham Zaheer

23 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Zaigham Zaheer United Arab Emirates 12 343 234 194 97 46 31 427
K. Deepak India 9 190 0.6× 119 0.5× 134 0.7× 46 0.5× 20 0.4× 24 294
Davide Abati Italy 4 294 0.9× 146 0.6× 106 0.5× 63 0.6× 31 0.7× 6 327
Fa-Ting Hong China 7 278 0.8× 146 0.6× 314 1.6× 99 1.0× 43 0.9× 14 460
Oluwatoyin P. Popoola Nigeria 4 275 0.8× 94 0.4× 290 1.5× 69 0.7× 39 0.8× 10 379
Fan Jiang United States 11 309 0.9× 120 0.5× 252 1.3× 50 0.5× 51 1.1× 21 419
Neelu Madan Denmark 4 216 0.6× 97 0.4× 99 0.5× 24 0.2× 13 0.3× 6 257
Suhwan Cho South Korea 8 112 0.3× 58 0.2× 160 0.8× 47 0.5× 6 0.1× 20 251
Hua Yang China 12 167 0.5× 54 0.2× 438 2.3× 74 0.8× 126 2.7× 77 505
Kazuki Kozuka Japan 4 258 0.8× 77 0.3× 99 0.5× 9 0.1× 28 0.6× 10 329
Haichao Shi China 12 206 0.6× 36 0.2× 231 1.2× 42 0.4× 32 0.7× 25 347

Countries citing papers authored by Muhammad Zaigham Zaheer

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Zaigham Zaheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Zaigham Zaheer. 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 Muhammad Zaigham Zaheer. The network helps show where Muhammad Zaigham Zaheer may publish in the future.

Co-authorship network of co-authors of Muhammad Zaigham Zaheer

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Zaigham Zaheer. A scholar is included among the top collaborators of Muhammad Zaigham Zaheer 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 Muhammad Zaigham Zaheer. Muhammad Zaigham Zaheer 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.
Zaheer, Muhammad Zaigham, Munazza Ijaz, Mulazim Hussain Asim, et al.. (2025). Mucoadhesive hydrogel film based on cyclodextrin cross-linked with thiolated hydroxyethyl cellulose for mucosal delivery of cisplatin. Journal of Molecular Liquids. 433. 127940–127940.
2.
Ahsan, Syed, et al.. (2025). ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation. 6526–6535. 1 indexed citations
3.
4.
5.
Nawaz, Shah, Rohan Kumar Das, Muhammad Zaigham Zaheer, et al.. (2024). A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments. 11333–11334.
6.
Zaheer, Muhammad Zaigham, et al.. (2024). A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. 6779–6788. 11 indexed citations
7.
Astrid, Marcella, Muhammad Zaigham Zaheer, Djamila Aouada, & Seung‐Ik Lee. (2024). Exploiting autoencoder’s weakness to generate pseudo anomalies. Neural Computing and Applications. 36(23). 14075–14091.
8.
Zaheer, Muhammad Zaigham, et al.. (2024). A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. 132–142. 7 indexed citations
9.
Zaheer, Muhammad Zaigham, et al.. (2024). Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. 12416–12425. 10 indexed citations
10.
Zaheer, Muhammad Zaigham, et al.. (2024). Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. 27611–27620. 14 indexed citations
11.
Zaheer, Muhammad Zaigham, Arif Mahmood, Marcella Astrid, & Seung‐Ik Lee. (2023). Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14085–14098. 25 indexed citations
12.
Yang, Hyung-Jeong, et al.. (2023). DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. 9521–9525. 2 indexed citations
13.
Astrid, Marcella, Muhammad Zaigham Zaheer, & Seung‐Ik Lee. (2023). PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies. Neurocomputing. 534. 147–160. 15 indexed citations
14.
Awais, Muhammad, Muhammad Zafar, Muhammad Mudassar, et al.. (2023). Towards Enabling Haptic Communications over 6G: Issues and Challenges. Electronics. 12(13). 2955–2955. 14 indexed citations
15.
Nawaz, Shah, Muhammad Haris Khan, Muhammad Zaigham Zaheer, et al.. (2023). Single-branch Network for Multimodal Training. 1–5. 10 indexed citations
16.
Sarnin, Suzi Seroja, et al.. (2022). Fingerprint Liveness Detection Schemes: A Review on Presentation Attack. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 10(2). 217–240. 14 indexed citations
17.
Zaheer, Muhammad Zaigham, Arif Mahmood, Muhammad Haris Khan, et al.. (2022). Generative Cooperative Learning for Unsupervised Video Anomaly Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14724–14734. 131 indexed citations
18.
Zaheer, Muhammad Zaigham, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, & Seung‐Ik Lee. (2021). An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration. 2595–2601. 16 indexed citations
19.
Zaheer, Muhammad Zaigham, et al.. (2020). Selective Dyna-style Planning Under Limited Model Capacity. International Conference on Machine Learning. 1. 1–10.
20.
Zaheer, Muhammad Zaigham, et al.. (2020). A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels. IEEE Signal Processing Letters. 27. 1705–1709. 79 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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