Ihtesham Ul Islam

690 total citations
19 papers, 388 citations indexed

About

Ihtesham Ul Islam is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Ihtesham Ul Islam has authored 19 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 4 papers in Media Technology. Recurrent topics in Ihtesham Ul Islam's work include Image Processing Techniques and Applications (4 papers), Software-Defined Networks and 5G (3 papers) and Face recognition and analysis (3 papers). Ihtesham Ul Islam is often cited by papers focused on Image Processing Techniques and Applications (4 papers), Software-Defined Networks and 5G (3 papers) and Face recognition and analysis (3 papers). Ihtesham Ul Islam collaborates with scholars based in Pakistan, South Korea and Italy. Ihtesham Ul Islam's co-authors include Javed Iqbal, Muhammad Imran, Haleem Farman, Gwanggil Jeon, Bilal Jan, Awais Ahmad, Murad Khan, Shaukat Ali, Muhammad Afaq and A. Bottino and has published in prestigious journals such as Scientific Reports, IEEE Access and Pattern Recognition.

In The Last Decade

Ihtesham Ul Islam

16 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ihtesham Ul Islam Pakistan	9	116	112	95	52	41	19	388
Siyamalan Manivannan Sri Lanka	13	111 1.0×	193 1.7×	217 2.3×	46 0.9×	45 1.1×	38	586
Saeed Ur Rehman Pakistan	9	97 0.8×	145 1.3×	99 1.0×	18 0.3×	36 0.9×	15	513
Yi Zhuang China	9	95 0.8×	129 1.2×	117 1.2×	30 0.6×	35 0.9×	50	464
Mohammad Abdul Azim Bangladesh	8	69 0.6×	58 0.5×	101 1.1×	55 1.1×	26 0.6×	28	393
Tamanna Siddiqui India	9	50 0.4×	103 0.9×	152 1.6×	25 0.5×	45 1.1×	33	506
Changcheng Huang Canada	11	150 1.3×	78 0.7×	375 3.9×	112 2.2×	42 1.0×	22	745
Mandeep Kaur India	13	79 0.7×	156 1.4×	167 1.8×	39 0.8×	25 0.6×	101	551
Rui Tang China	15	68 0.6×	79 0.7×	328 3.5×	53 1.0×	54 1.3×	44	675
Mana Saleh Al Reshan Saudi Arabia	16	132 1.1×	98 0.9×	226 2.4×	49 0.9×	45 1.1×	64	702

Countries citing papers authored by Ihtesham Ul Islam

Since Specialization

Citations

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

Fields of papers citing papers by Ihtesham Ul Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ihtesham Ul Islam. 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 Ihtesham Ul Islam. The network helps show where Ihtesham Ul Islam may publish in the future.

Co-authorship network of co-authors of Ihtesham Ul Islam

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

All Works

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19 of 19 papers shown

Islam, Ihtesham Ul, et al.. (2026). Dataset-centric evaluation of federated intrusion detection models in IoT networks. Scientific Reports. 16(1). 2683–2683.

Islam, Ihtesham Ul, et al.. (2025). Federated Learning With Explainable AI for Malicious Traffic Detection in IoT Networks. IEEE Access. 13. 173368–173383.

Haq, Qazi Mazhar ul, et al.. (2023). Unsupervised Cross-Domain Adaptation through Mutual Mean Learning and GANs for Person Re-identification. 122–128. 1 indexed citations

Ullah, Zahid, et al.. (2021). Fast Codebook Generation Using Pattern Based Masking Algorithm for Image Compression. IEEE Access. 9. 98904–98915. 6 indexed citations

Islam, Ihtesham Ul, et al.. (2020). Multi-feature-based crowd video modeling for visual event detection. Multimedia Systems. 27(4). 589–597. 26 indexed citations

Mehmood, Asif, Muhammad Afaq, Talha Ahmed Khan, et al.. (2020). Energy-efficient auto-scaling of virtualized network function instances based on resource execution pattern. Computers & Electrical Engineering. 88. 106814–106814. 12 indexed citations

Islam, Ihtesham Ul, Khalil Ullah, Muhammad Afaq, Javed Iqbal, & Amjad Ali. (2020). Towards the automatic segmentation of HEp-2 cells in indirect immunofluorescence images using an efficient filtering based approach. Multimedia Tools and Applications. 79(45-46). 34325–34337. 3 indexed citations

Abbas, Khizar, Muhammad Afaq, Talha Ahmed Khan, et al.. (2020). An efficient SDN‐based LTE‐WiFi spectrum aggregation system for heterogeneous 5G networks. Transactions on Emerging Telecommunications Technologies. 33(4). 36 indexed citations

Afaq, Muhammad, et al.. (2019). Towards 5G network slicing for vehicular ad-hoc networks: An end-to-end approach. Computer Communications. 149. 252–258. 33 indexed citations

10.

Afaq, Muhammad, et al.. (2019). Energy loss prediction in nonoriented materials using machine learning techniques: A novel approach. Transactions on Emerging Telecommunications Technologies. 33(2).

11.

Islam, Ihtesham Ul, Khalil Ullah, Muhammad Afaq, Muhammad Hasanain Chaudary, & Muhammad Kashif Hanif. (2019). Spatio-temporal sEMG image enhancement and motor unit action potential (MUAP) detection: algorithms and their analysis. Journal of Ambient Intelligence and Humanized Computing. 10(10). 3809–3819. 4 indexed citations

12.

Ullah, Fasee, et al.. (2019). Traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network. Journal of Ambient Intelligence and Humanized Computing. 10(10). 3775–3794. 31 indexed citations

13.

Khan, Asif, et al.. (2017). Illumination normalization using independent component analysis and filtering. The Imaging Science Journal. 65(5). 308–313. 7 indexed citations

14.

Jan, Bilal, Haleem Farman, Murad Khan, et al.. (2017). Deep learning in big data Analytics: A comparative study. Computers & Electrical Engineering. 75. 275–287. 157 indexed citations

15.

Islam, Ihtesham Ul, et al.. (2015). A multi-perspective holistic approach to Kinship Verification in the Wild. 1–6. 16 indexed citations

16.

Bottino, A., et al.. (2015). Geometric and Textural Cues for Automatic Kinship Verification. International Journal of Pattern Recognition and Artificial Intelligence. 29(3). 1556001–1556001. 9 indexed citations

17.

Khan, Mohammad A. U., Khalil Ullah, Asif Khan, & Ihtesham Ul Islam. (2014). Robust multi-scale orientation estimation: Directional filter bank based approach. Applied Mathematics and Computation. 242. 814–824. 3 indexed citations

18.

Cataldo, Santa Di, et al.. (2013). Subclass Discriminant Analysis of morphological and textural features for HEp-2 staining pattern classification. Pattern Recognition. 47(7). 2389–2399. 41 indexed citations

19.

Islam, Ihtesham Ul, Santa Di Cataldo, A. Bottino, Elisa Ficarra, & Enrico Macii. (2013). Classification of HEp-2 Staining Patterns in ImmunoFluorescence Images - Comparison of Support Vector Machines and Subclass Discriminant Analysis Strategies. IRIS UNIMORE (University of Modena and Reggio Emilia). 53–61. 3 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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