Imran Naseem

2.0k total citations · 1 hit paper
55 papers, 1.4k citations indexed

About

Imran Naseem is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Imran Naseem has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Signal Processing, 21 papers in Computer Vision and Pattern Recognition and 19 papers in Computational Mechanics. Recurrent topics in Imran Naseem's work include Blind Source Separation Techniques (17 papers), Advanced Adaptive Filtering Techniques (16 papers) and Speech and Audio Processing (15 papers). Imran Naseem is often cited by papers focused on Blind Source Separation Techniques (17 papers), Advanced Adaptive Filtering Techniques (16 papers) and Speech and Audio Processing (15 papers). Imran Naseem collaborates with scholars based in Pakistan, Australia and Saudi Arabia. Imran Naseem's co-authors include Mohammed Bennamoun, Roberto Togneri, Shujaat Khan, Muhammad Moinuddin, Mohamed Deriche, Ubaid M. Al‐Saggaf, Ferdous Sohel, Muhammad Sohail Ibrahim, Muhammad Usman and Salman Khan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Imran Naseem

52 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Linear Regression for Face Recognition

2010 761 citations Imran Naseem, Roberto Togneri et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Imran Naseem Pakistan	14	884	385	356	297	202	55	1.4k
Xiangwei Kong China	21	1.2k 1.3×	350 0.9×	263 0.7×	406 1.4×	211 1.0×	135	1.8k
Feng Dai China	17	1.4k 1.6×	281 0.7×	467 1.3×	249 0.8×	238 1.2×	60	1.8k
Xinge You China	21	907 1.0×	110 0.3×	119 0.3×	355 1.2×	254 1.3×	52	1.3k
Zizhu Fan China	17	787 0.9×	216 0.6×	194 0.5×	282 0.9×	199 1.0×	44	1.1k
Juwei Lu Canada	15	2.0k 2.3×	169 0.4×	670 1.9×	662 2.2×	352 1.7×	36	2.6k
Weida Zhou China	14	412 0.5×	170 0.4×	95 0.3×	341 1.1×	98 0.5×	41	814
Yingke Lei China	11	556 0.6×	140 0.4×	267 0.8×	259 0.9×	145 0.7×	46	922
Francis R. Bach United States	10	410 0.5×	219 0.6×	166 0.5×	319 1.1×	99 0.5×	11	824
Zhaoqing Pan China	25	1.5k 1.7×	66 0.2×	843 2.4×	310 1.0×	195 1.0×	70	2.1k
Zuyuan Yang China	19	539 0.6×	245 0.6×	300 0.8×	295 1.0×	223 1.1×	64	1.2k

Countries citing papers authored by Imran Naseem

Since Specialization

Citations

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

Fields of papers citing papers by Imran Naseem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Naseem

This figure shows the co-authorship network connecting the top 25 collaborators of Imran Naseem. A scholar is included among the top collaborators of Imran Naseem 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 Imran Naseem. Imran Naseem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Anser, Muhammad Khalid, et al.. (2025). Addressing environmental degradation and socioeconomic inequities through sustainable urban planning in Pakistan. 5(2). 266–277. 1 indexed citations

Khan, Muhammad Imran, Syed Afzal Shah, Talat Islam, et al.. (2025). From conflict to a climate future: Unraveling the nexus between warfare and environmental degradation. Sustainable Futures. 9. 100525–100525.

Nassani, Abdelmohsen A., et al.. (2024). FinTech revolution in mineral management: Exploring the nexus between technology adoption and sustainable Resource utilization in an industry 4.0 context. Heliyon. 10(3). e24641–e24641. 13 indexed citations

Dong, Weiwei, et al.. (2023). E-commerce mineral resource footprints: Investigating drivers for sustainable mining development. Resources Policy. 89. 104569–104569. 1 indexed citations

Naseem, Imran, et al.. (2023). Reverse Image Search for Collage: A Novel Local Feature-Based Framework. IEEE Access. 11. 78182–78191.

Alassafi, Madini O., Muhammad Sohail Ibrahim, Imran Naseem, et al.. (2023). Fully supervised contrastive learning in latent space for face presentation attack detection. Applied Intelligence. 53(19). 21770–21787. 7 indexed citations

Alassafi, Madini O., Muhammad Sohail Ibrahim, Imran Naseem, et al.. (2023). A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection. IEEE Access. 11. 59204–59216. 15 indexed citations

Naseem, Imran, et al.. (2022). A novel quantum calculus-based complex least mean square algorithm (q-CLMS). Applied Intelligence. 53(2). 1350–1369. 4 indexed citations

Yahya, Norashikin, et al.. (2022). Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer’s Disease. Sensors. 22(9). 3102–3102. 9 indexed citations

10.

Naseem, Imran, et al.. (2022). Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links. Circuits Systems and Signal Processing. 41(10). 5699–5718. 2 indexed citations

11.

Khan, Muhammad Farhan, et al.. (2021). Adaptive just-noticeable difference profile for image hashing. Computers & Electrical Engineering. 90. 106967–106967. 1 indexed citations

12.

Khan, Muhammad Farhan, et al.. (2020). Robust image hashing based on structural and perceptual features for authentication of color images. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29(2). 648–662. 5 indexed citations

13.

Naseem, Imran, et al.. (2017). Design of incremental optimum error nonlinearity for distributed networks. 1–5. 4 indexed citations

14.

Khan, Shujaat, et al.. (2017). FCLMS: Fractional complex LMS algorithm for complex system identification. 39–43. 9 indexed citations

15.

Naseem, Imran, et al.. (2016). Design of optimum error nonlinearity for channel estimation in the presence of class-A impulsive noise. 1–6. 10 indexed citations

16.

Khan, Salman, Mohammed Bennamoun, Ferdous Sohel, Roberto Togneri, & Imran Naseem. (2015). Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images. International Journal of Computer Vision. 117(1). 1–20. 20 indexed citations

17.

Naseem, Imran, Shujaat Khan, Roberto Togneri, & Mohammed Bennamoun. (2015). ECMSRC: A Sparse Learning Approach for the Prediction of Extracellular Matrix Proteins. Current Bioinformatics. 12(4). 21 indexed citations

18.

Naseem, Imran, Roberto Togneri, & Mohammed Bennamoun. (2010). Linear Regression for Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(11). 2106–2112. 761 indexed citations breakdown →

19.

Deriche, Mohamed & Imran Naseem. (2010). A novel speaker identification algorithm using classifiers fusion. 145–148.

20.

Naseem, Imran & Mohamed Deriche. (2006). A New Algorithm For Speaker Identification Using The Dempster-Shafer Theory Of Evidence.. IPCV. 47–51. 2 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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