Mudassar Raza

4.9k total citations
116 papers, 3.4k citations indexed

About

Mudassar Raza is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mudassar Raza has authored 116 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mudassar Raza's work include Face and Expression Recognition (17 papers), Video Surveillance and Tracking Methods (17 papers) and Brain Tumor Detection and Classification (14 papers). Mudassar Raza is often cited by papers focused on Face and Expression Recognition (17 papers), Video Surveillance and Tracking Methods (17 papers) and Brain Tumor Detection and Classification (14 papers). Mudassar Raza collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Mudassar Raza's co-authors include Muhammad Sharif, Javaria Amin, Mussarat Yasmin, Muhammad Attique Khan, Tanzila Saba, Muhammad Sharif, Jamal Hussain Shah, Muhammad Almas Anjum, Muhammad Imran Sharif and Muhammad Sharif and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mudassar Raza

113 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mudassar Raza Pakistan 32 1.9k 1.1k 1.1k 783 302 116 3.4k
Steven Lawrence Fernandes India 31 1.8k 1.0× 1.2k 1.0× 1.2k 1.1× 895 1.1× 171 0.6× 88 3.5k
Muhammad Sharif Pakistan 23 1.3k 0.7× 775 0.7× 815 0.8× 574 0.7× 143 0.5× 67 2.3k
Mussarat Yasmin Pakistan 38 2.5k 1.3× 1.4k 1.2× 1.6k 1.5× 1.2k 1.6× 103 0.3× 89 4.4k
Zafer Cömert Türkiye 31 858 0.4× 1.5k 1.4× 540 0.5× 1.4k 1.8× 190 0.6× 78 3.5k
Majed Alhaisoni Saudi Arabia 29 875 0.5× 1.0k 0.9× 574 0.5× 671 0.9× 82 0.3× 104 2.5k
Burhan Ergen Türkiye 25 878 0.5× 1.2k 1.0× 477 0.5× 1.1k 1.4× 102 0.3× 90 2.6k
Javaria Amin Pakistan 27 2.0k 1.1× 1.3k 1.2× 2.1k 1.9× 999 1.3× 39 0.1× 64 3.4k
Mohd Shafry Mohd Rahim Malaysia 28 1.1k 0.6× 627 0.6× 197 0.2× 376 0.5× 137 0.5× 156 2.2k
Hafiz Tayyab Rauf United Kingdom 35 494 0.3× 1.0k 0.9× 240 0.2× 620 0.8× 208 0.7× 121 2.9k
Ali Javed Pakistan 28 1.2k 0.6× 771 0.7× 144 0.1× 351 0.4× 414 1.4× 122 2.6k

Countries citing papers authored by Mudassar Raza

Since Specialization
Citations

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

Fields of papers citing papers by Mudassar Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mudassar Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Mudassar Raza. A scholar is included among the top collaborators of Mudassar Raza 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 Mudassar Raza. Mudassar Raza 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.
Sharif, Muhammad Irfan, et al.. (2025). Anomaly recognition in surveillance based on feature optimizer using deep learning. PLoS ONE. 20(5). e0313692–e0313692.
2.
Amin, Javaria, et al.. (2024). Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer. Biomedical Signal Processing and Control. 92. 106106–106106. 16 indexed citations
3.
Mehmood, Atif, et al.. (2024). Data-driven classification and explainable-AI in the field of lung imaging. Frontiers in Big Data. 7. 1393758–1393758. 4 indexed citations
4.
Yasmin, Mussarat, et al.. (2024). A novel framework integrating ensemble transfer learning and Ant Colony Optimization for Knee Osteoarthritis severity classification. Multimedia Tools and Applications. 83(39). 86923–86954. 1 indexed citations
5.
Yasmin, Mussarat, et al.. (2024). A novel deep CNN model with entropy coded sine cosine for corn disease classification. Journal of King Saud University - Computer and Information Sciences. 36(7). 102126–102126. 12 indexed citations
6.
Rehman, Shafiqur, Kashif Irshad, Mohamed Mohandes, et al.. (2024). Windy Sites Prioritization in the Saudi Waters of the Southern Red Sea. Sustainability. 16(23). 10169–10169. 6 indexed citations
7.
Nasir, Inzamam Mashood, et al.. (2023). ENGA: Elastic Net-Based Genetic Algorithm for human action recognition. Expert Systems with Applications. 227. 120311–120311. 23 indexed citations
8.
Raza, Mudassar, et al.. (2023). White blood cell image analysis for infection detection based on virtual hexagonal trellis (VHT) by using deep learning. Scientific Reports. 13(1). 17827–17827. 5 indexed citations
9.
Iqbal, Ahmed, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza, & Shabib Aftab. (2022). Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey. International Journal of Multimedia Information Retrieval. 11(3). 333–368. 46 indexed citations
10.
Sharif, Muhammad, et al.. (2020). Detection and Classification of Gastrointestinal Diseases using Machine Learning. Current Medical Imaging Formerly Current Medical Imaging Reviews. 17(4). 479–490. 33 indexed citations
11.
Shah, Jamal Hussain, et al.. (2020). Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features. Applied Sciences. 10(14). 4966–4966. 104 indexed citations
12.
Amin, Javaria, Muhammad Sharif, Mudassar Raza, Tanzila Saba, & Muhammad Almas Anjum. (2019). Brain tumor detection using statistical and machine learning method. Computer Methods and Programs in Biomedicine. 177. 69–79. 186 indexed citations
13.
Amin, Javaria, Muhammad Sharif, Mudassar Raza, & Mussarat Yasmin. (2018). Detection of Brain Tumor based on Features Fusion and Machine Learning. Journal of Ambient Intelligence and Humanized Computing. 15(1). 983–999. 110 indexed citations
14.
Haider, Waqas, et al.. (2016). Prefix oriented N4WA coding scheme for improved tampering detection in relational data. Kuwait Journal of Science. 43(2). 1 indexed citations
15.
Sharif, Muhammad, et al.. (2013). Analysis of Face Recognition under Varying Facial Expression: A Survey. The International Arab Journal of Information Technology. 10. 378–388. 23 indexed citations
16.
Shah, Jamal Hussain, et al.. (2013). A Survey: Linear and Nonlinear PCA Based Face Recognition Techniques. The International Arab Journal of Information Technology. 10. 536–545. 47 indexed citations
17.
Sharif, Muhammad, et al.. (2012). Face Detection and Recognition Through Hexagonal Image Processing. Sindh University Research Journal. 44(4). 7 indexed citations
18.
Raza, Mudassar, et al.. (2012). File Systems for Various Operating Systems: A Review. Research Journal of Applied Sciences Engineering and Technology. 4(17). 2934–2947. 2 indexed citations
19.
Sharif, Muhammad, et al.. (2012). Distributed Virtual Disk Storage System. 2(1). 17–23. 3 indexed citations
20.
Haider, Waqas, Muhammad Sharif, & Mudassar Raza. (2011). Achieving Accuracy in Early Stage Tumor Identification Systems based on Image Segmentation and 3D Structure Analysis. Computer Engineering and Intelligent Systems. 2(6). 96–102. 12 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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