Muhammad Muzzamil Luqman

1.5k total citations
41 papers, 413 citations indexed

About

Muhammad Muzzamil Luqman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Muhammad Muzzamil Luqman has authored 41 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Muhammad Muzzamil Luqman's work include Advanced Image and Video Retrieval Techniques (9 papers), Graph Theory and Algorithms (8 papers) and Handwritten Text Recognition Techniques (8 papers). Muhammad Muzzamil Luqman is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Graph Theory and Algorithms (8 papers) and Handwritten Text Recognition Techniques (8 papers). Muhammad Muzzamil Luqman collaborates with scholars based in France, Pakistan and China. Muhammad Muzzamil Luqman's co-authors include Mickaël Coustaty, Jean-Christophe Burie, Zuheng Ming, Malik Muhammad Saad Missen, Muriel Visani, Josep Lladós, Shahzad Mumtaz, Jean-Marc Ogier, Mujtaba Husnain and Thierry Brouard and has published in prestigious journals such as IEEE Access, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Muhammad Muzzamil Luqman

39 papers receiving 387 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 Muzzamil Luqman France 13 206 88 58 44 34 41 413
Shanxiong Chen China 11 129 0.6× 153 1.7× 18 0.3× 18 0.4× 14 0.4× 66 443
Anjali Gautam India 14 175 0.8× 157 1.8× 24 0.4× 39 0.9× 38 1.1× 56 507
Lin Teng China 12 122 0.6× 101 1.1× 31 0.5× 57 1.3× 40 1.2× 45 462
Xiaoxiao Sun China 13 313 1.5× 240 2.7× 31 0.5× 13 0.3× 10 0.3× 23 694
Naresh Kumar India 13 150 0.7× 336 3.8× 12 0.2× 22 0.5× 85 2.5× 46 786
Gurpreet Kaur India 11 186 0.9× 90 1.0× 42 0.7× 17 0.4× 60 1.8× 38 455
Somsak Choomchuay Thailand 11 134 0.7× 132 1.5× 46 0.8× 26 0.6× 27 0.8× 60 349
Maleika Heenaye-Mamode Khan Mauritius 10 71 0.3× 131 1.5× 66 1.1× 21 0.5× 47 1.4× 43 346

Countries citing papers authored by Muhammad Muzzamil Luqman

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Muzzamil Luqman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Muzzamil Luqman

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Muzzamil Luqman. A scholar is included among the top collaborators of Muhammad Muzzamil Luqman 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 Muzzamil Luqman. Muhammad Muzzamil Luqman 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.
Rafique, M. Yasir, et al.. (2024). Regulation of Intestinal Iron Absorption: Balancing Supply and Demand. 2–9. 1 indexed citations
2.
Suleman, Muhammad, Muhammad Muzzamil Luqman, Dong‐Qing Wei, et al.. (2023). Structural insights into the effect of mutations in the spike protein of SARS-CoV-2 on the binding with human furin protein. Heliyon. 9(4). e15083–e15083. 6 indexed citations
3.
Wajid, Usman, et al.. (2023). Assessment and Relationship of Elevated Serum Alanine Transaminase Level in Reference with Obesity. Journal of Pharmaceutical Research International. 35(15). 24–35.
4.
Emelianova, E. V., Alexander Sheshkus, Ming Zhou, et al.. (2022). MIDV-2020: a comprehensive benchmark dataset for identity document analysis. Computer Optics. 46(2). 24 indexed citations
5.
Tahir, Mukkram Ali, et al.. (2022). Biosolubilization of Phosphate Rock Using Organic Amendments: An Innovative Approach for Sustainable Maize Production in Aridisols - A Review. Sarhad Journal of Agriculture. 38(2). 3 indexed citations
6.
Husnain, Mujtaba, Malik Muhammad Saad Missen, Shahzad Mumtaz, et al.. (2021). Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network. Complexity. 2021(1).
7.
Ming, Zuheng, Jean-Christophe Burie, & Muhammad Muzzamil Luqman. (2021). Cross-modal photo-caricature face recognition based on dynamic multi-task learning. International Journal on Document Analysis and Recognition (IJDAR). 24(1-2). 33–48. 1 indexed citations
8.
Missen, Malik Muhammad Saad, et al.. (2021). Graph Neural Networks Using Local Descriptions in Attributed Graphs: An Application to Symbol Recognition and Hand Written Character Recognition. IEEE Access. 9. 99103–99111. 13 indexed citations
9.
Husnain, Mujtaba, et al.. (2020). Urdu handwritten text recognition: a survey. IET Image Processing. 14(11). 2291–2300. 14 indexed citations
10.
Missen, Malik Muhammad Saad, et al.. (2020). Additive Angular Margin Loss in Deep Graph Neural Network Classifier for Learning Graph Edit Distance. IEEE Access. 8. 201752–201761. 8 indexed citations
11.
Luqman, Muhammad Muzzamil, et al.. (2020). Practices of General Public Towards Personal Protective Measures During the Coronavirus Pandemic. 1 indexed citations
12.
Husnain, Mujtaba, Malik Muhammad Saad Missen, Shahzad Mumtaz, et al.. (2019). Recognition of Urdu Handwritten Characters Using Convolutional Neural Network. Applied Sciences. 9(13). 2758–2758. 37 indexed citations
13.
Husnain, Mujtaba, Malik Muhammad Saad Missen, Shahzad Mumtaz, et al.. (2019). Visualization of High-Dimensional Data by Pairwise Fusion Matrices Using t-SNE. Symmetry. 11(1). 107–107. 25 indexed citations
14.
Gao, Qijie, et al.. (2017). An Exploration of Information Communication technology (ICTs) in Agricultural Development: The experiences of rural Punjab-Pakistan. Transylvanian Review. 1(3). 2 indexed citations
15.
Gao, Qijie, et al.. (2017). MODE OF ICTs APPLICATIONS IN PLANT PRODUCTION AND PROTECTION TECHNOLOGY IN RURAL PUNJAB-PAKISTAN. Transylvanian Review. 2 indexed citations
16.
Baloch, Abdul Hameed, Muhammad Muzzamil Luqman, Adeel Ahmad, et al.. (2014). Missense mutations (p.H371Y, p.D438Y) in gene CHEK2 are associated with breast cancer risk in women of Balochistan origin. Molecular Biology Reports. 41(2). 1103–1107. 14 indexed citations
17.
Luqman, Muhammad Muzzamil, et al.. (2014). Risk Factors for Lung Cancer in the Pakistani Population. Asian Pacific Journal of Cancer Prevention. 15(7). 3035–3039. 54 indexed citations
18.
Luqman, Muhammad Muzzamil, Jean-Yves Ramel, Josep Lladós, & Thierry Brouard. (2011). Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
19.
Luqman, Muhammad Muzzamil, Thierry Brouard, Jean-Yves Ramel, & Josep Lladós. (2010). A Content Spotting System For Line Drawing Graphic Document Images. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Jamal, Shahid, et al.. (2006). The pattern of gynecological malignancies in 968 cases from Pakistan. Annals of Saudi Medicine. 26(5). 382–384. 21 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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