Toqeer Mahmood

2.4k total citations
66 papers, 1.6k citations indexed

About

Toqeer Mahmood is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Toqeer Mahmood has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Toqeer Mahmood's work include Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (12 papers) and Image Retrieval and Classification Techniques (10 papers). Toqeer Mahmood is often cited by papers focused on Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (12 papers) and Image Retrieval and Classification Techniques (10 papers). Toqeer Mahmood collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Toqeer Mahmood's co-authors include Zahid Mehmood, Tanzila Saba, Mohsin Shah, Amjad Rehman, Muhammad Tariq Mahmood, Rehan Ashraf, Muhammad Arshad Javid, Junaid Rashid, Aun Irtaza and Muhammad Asif and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Toqeer Mahmood

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toqeer Mahmood Pakistan 24 1.1k 384 363 221 171 66 1.6k
M. Arfan Jaffar Pakistan 21 812 0.8× 288 0.8× 234 0.6× 188 0.9× 136 0.8× 98 1.3k
Hamid Tairi Morocco 20 721 0.7× 393 1.0× 110 0.3× 165 0.7× 172 1.0× 170 1.4k
Ghazanfar Latif Saudi Arabia 20 504 0.5× 304 0.8× 134 0.4× 273 1.2× 285 1.7× 83 1.3k
Muhammad Sharif Pakistan 23 1.3k 1.2× 775 2.0× 114 0.3× 815 3.7× 574 3.4× 67 2.3k
Dheyaa Ahmed Ibrahim Iraq 21 502 0.5× 577 1.5× 56 0.2× 283 1.3× 316 1.8× 37 1.4k
Naveed Islam Pakistan 21 467 0.4× 700 1.8× 103 0.3× 168 0.8× 402 2.4× 58 2.0k
Heba Mohsen Egypt 14 849 0.8× 568 1.5× 66 0.2× 961 4.3× 358 2.1× 39 1.5k
Murat Karabatak Türkiye 13 306 0.3× 702 1.8× 60 0.2× 101 0.5× 304 1.8× 77 1.4k
Abdelmgeid A. Ali Egypt 18 385 0.4× 645 1.7× 64 0.2× 122 0.6× 286 1.7× 33 1.5k
T R Mahesh India 21 235 0.2× 529 1.4× 44 0.1× 180 0.8× 309 1.8× 163 1.4k

Countries citing papers authored by Toqeer Mahmood

Since Specialization
Citations

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

Fields of papers citing papers by Toqeer Mahmood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toqeer Mahmood

This figure shows the co-authorship network connecting the top 25 collaborators of Toqeer Mahmood. A scholar is included among the top collaborators of Toqeer Mahmood 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 Toqeer Mahmood. Toqeer Mahmood 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.
2.
Ashraf, Rehan, et al.. (2025). Automated CAD system for early detection and classification of pancreatic cancer using deep learning model. PLoS ONE. 20(1). e0307900–e0307900. 4 indexed citations
3.
Ashraf, Rehan, et al.. (2025). An efficient smart phone application for wheat crop diseases detection using advanced machine learning. PLoS ONE. 20(1). e0312768–e0312768. 1 indexed citations
4.
Hussain, Ibrar, et al.. (2024). Design Strategies to Minimize Mobile Usability Issues in Navigation Design Patterns. Information. 15(11). 732–732.
5.
Mahmood, Toqeer, et al.. (2024). Computationally intelligent real-time security surveillance system in the education sector using deep learning. PLoS ONE. 19(7). e0301908–e0301908. 3 indexed citations
6.
Faisal, C. M. Nadeem, et al.. (2023). Automated Accessibility Evaluation of Mobile Applications on Initial Stages of Design and Development. Applied and Computational Engineering. 2(1). 640–648. 1 indexed citations
7.
Ahmad, Maaz Bin, et al.. (2023). Blockchain and IIoT Enabled Solution for Social Distancing and Isolation Management to Prevent Pandemics. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 687–709. 4 indexed citations
8.
Ullah, Saif, et al.. (2023). Modeling of Multi-Level Planning of Shifting Bottleneck Resources Integrated with Downstream Wards in a Hospital. Applied Sciences. 13(6). 3616–3616. 1 indexed citations
9.
Adnan, Muhammad, Muhammad Asif, Maaz Bin Ahmad, et al.. (2023). An Automatic Wound Detection System Empowered by Deep Learning. Journal of Physics Conference Series. 2547(1). 12005–12005. 3 indexed citations
10.
Asif, Muhammad, et al.. (2023). A Deep Learning based Human Detection and Tracking for Security Surveillance Systems. Applied and Computational Engineering. 2(1). 541–549. 2 indexed citations
11.
Masood, Momina, Tahira Nazir, Marriam Nawaz, et al.. (2021). A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images. Diagnostics. 11(5). 744–744. 111 indexed citations
12.
13.
Rashid, Junaid, Toqeer Mahmood, Muhammad Wasif Nisar, & Tahira Nazir. (2020). Phishing Detection Using Machine Learning Technique. 43–46. 43 indexed citations
14.
Ashraf, Rehan, Muhammad Asif Habib, Muhammad Akram, et al.. (2020). Deep Convolution Neural Network for Big Data Medical Image Classification. IEEE Access. 8. 105659–105670. 63 indexed citations
15.
Rashid, Junaid, et al.. (2020). A Study of Software Development Cost Estimation Techniques and Models. SHILAP Revista de lepidopterología. 39(2). 413–431. 7 indexed citations
16.
Akbar, Shahzad, et al.. (2019). Automated techniques for blood vessels segmentation through fundus retinal images: A review. Microscopy Research and Technique. 82(2). 153–170. 44 indexed citations
17.
Mehmood, Zahid, et al.. (2018). An effective content-based image retrieval technique for image visuals representation based on the bag-of-visual-words model. PLoS ONE. 13(4). e0194526–e0194526. 59 indexed citations
18.
Mahmood, Toqeer, Aun Irtaza, Zahid Mehmood, & Muhammad Tariq Mahmood. (2017). Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images. Forensic Science International. 279. 8–21. 60 indexed citations
19.
Shah, Mohsin, et al.. (2016). Threshold-based steganography: a novel technique for improved payload and SNR.. The International Arab Journal of Information Technology. 13. 380–386. 13 indexed citations
20.
Ashraf, Rehan, Khalid Bashir Bajwa, & Toqeer Mahmood. (2016). Content-based Image Retrieval by Exploring Bandletized Regions through Support Vector Machines.. Journal of information science and engineering. 32. 245–269. 31 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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