Taha H. Rassem

1.6k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Taha H. Rassem is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Taha H. Rassem has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Taha H. Rassem's work include Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Taha H. Rassem is often cited by papers focused on Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Taha H. Rassem collaborates with scholars based in Malaysia, Saudi Arabia and Yemen. Taha H. Rassem's co-authors include Bee Ee Khoo, Nasrin M. Makbol, Nasrin M. Makbol, Ebrahim Mohammed Senan, Badiea Abdulkarem Mohammed, Zeyad Ghaleb Al-Mekhlafi, Khaled Loukhaoukha, Adwan Alanazi, Abdulaziz Aljaloud and Fuad A. Ghaleb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Taha H. Rassem

39 papers receiving 1.0k 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.

Eye Tracking-Based Diagnosis and Early Detection of Autism Spectrum Disorder Using Machine Learning and Deep Learning Techniques

2022 122 citations Ebrahim Mohammed Senan, Taha H. Rassem et al. profile →

Peers

Taha H. Rassem

CVPR

NEURO

RNMI

Muhammad Awais United Kingdom

Siqi Liu China

M. Monica Subashini India

Mounîm A. El‐Yacoubi France

Sang‐Woong Lee South Korea

Xujing Yao United Kingdom

Jiashuang Huang China

Saeeda Naz Pakistan

Palani Thanaraj Krishnan India

Peng Cao China

Muhammad Awais United Kingdom

Taha H. Rassem

515 ×0.9

CVPR

184 ×0.6

NEURO

292 ×1.1

114 ×0.9

RNMI

75 ×0.7

Citations per year, relative to Taha H. Rassem Taha H. Rassem (= 1×) peers Muhammad Awais

Countries citing papers authored by Taha H. Rassem

Since Specialization

Citations

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

Fields of papers citing papers by Taha H. Rassem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taha H. Rassem. 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 Taha H. Rassem. The network helps show where Taha H. Rassem may publish in the future.

Co-authorship network of co-authors of Taha H. Rassem

This figure shows the co-authorship network connecting the top 25 collaborators of Taha H. Rassem. A scholar is included among the top collaborators of Taha H. Rassem 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 Taha H. Rassem. Taha H. Rassem 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

Al-Mekhlafi, Zeyad Ghaleb, ‪Mahmood A. Al-Shareeda‬‏, Selvakumar Manickam, et al.. (2023). Efficient Authentication Scheme for 5G-Enabled Vehicular Networks Using Fog Computing. Sensors. 23(7). 3543–3543. 33 indexed citations

Ahmed, Abdulghani Ali, et al.. (2023). A Honeybee-Inspired Framework for a Smart City Free of Internet Scams. Sensors. 23(9). 4284–4284. 1 indexed citations

Senan, Ebrahim Mohammed, Mukti E. Jadhav, Taha H. Rassem, et al.. (2022). Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning. Computational and Mathematical Methods in Medicine. 2022. 1–17. 118 indexed citations

Sallam, Amer A., et al.. (2022). Fraudulent Account Detection in the Ethereum’s Network Using Various Machine Learning Techniques. SHILAP Revista de lepidopterología. 8(2). 43–50. 7 indexed citations

Al-Mekhlafi, Zeyad Ghaleb, Ebrahim Mohammed Senan, Taha H. Rassem, et al.. (2022). Deep Learning and Machine Learning for Early Detection of Stroke and Haemorrhage. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 775–796. 40 indexed citations

Ali, Mohammed A. H., Musa Mailah, Y. Nukman, et al.. (2021). A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments. Expert Systems with Applications. 183. 115454–115454. 15 indexed citations

Sallam, Amer A., et al.. (2021). Iris Recognition System Using Convolutional Neural Network. 109–114. 3 indexed citations

Rassem, Taha H., et al.. (2020). A New Feature-Based Wavelet Completed Local Ternary Pattern (Feat-WCLTP) for Texture Image Classification. IEEE Access. 8. 28276–28288. 11 indexed citations

Rassem, Taha H., et al.. (2020). A Combined Weighting for the Feature-Based Method on Topological Parameters in Semantic Taxonomy Using Social Media. IOP Conference Series Materials Science and Engineering. 769(1). 12002–12002. 1 indexed citations

10.

Makbol, Nasrin M., Bee Ee Khoo, & Taha H. Rassem. (2018). Security analyses of false positive problem for the SVD-based hybrid digital image watermarking techniques in the wavelet transform domain. Multimedia Tools and Applications. 77(20). 26845–26879. 43 indexed citations

11.

Alsewari, AbdulRahman A., Ammar K. Alazzawi, Taha H. Rassem, et al.. (2017). ABC Algorithm for Combinatorial Testing Problem. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 85–88. 5 indexed citations

12.

Rassem, Taha H., et al.. (2017). Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation. UMP Institutional Repository (Universiti Malaysia Pahang). 6 indexed citations

13.

Rassem, Taha H., Bee Ee Khoo, Mohammed Falah Mohammed, & Nasrin M. Makbol. (2017). Medical, Scene And Event Image Category Recognition Using Completed Local Ternary Patterns (CLTP). Malaysian Journal of Computer Science. 30(3). 200–218. 4 indexed citations

14.

Rassem, Taha H., et al.. (2017). Face Recognition Using Completed Local Ternary Pattern (CLTP) Texture Descriptor. International Journal of Electrical and Computer Engineering (IJECE). 7(3). 1594–1594. 14 indexed citations

15.

Rassem, Taha H., et al.. (2017). An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification. TELKOMNIKA (Telecommunication Computing Electronics and Control). 15(2). 942–942. 2 indexed citations

16.

Rassem, Taha H., AbdulRahman A. Alsewari, & Nasrin M. Makbol. (2017). Texture image classification using wavelet completed local binary pattern descriptor (WCLBP). 19. 15–20. 1 indexed citations

17.

Rassem, Taha H., Mohammed Falah Mohammed, Bee Ee Khoo, & Nasrin M. Makbol. (2015). Performance evaluation of Completed Local Ternary Patterns (CLTP) for medical, scene and event image categorisation. 4338. 33–38. 8 indexed citations

18.

Rassem, Taha H. & Bee Ee Khoo. (2014). Completed Local Ternary Pattern for Rotation Invariant Texture Classification. The Scientific World JOURNAL. 2014. 1–10. 58 indexed citations

19.

Makbol, Nasrin M., Bee Ee Khoo, & Taha H. Rassem. (2014). Performance evaluation of SVD-based digital image watermarking scheme on print-scan and print-cam (PSPC) applications. 2002. 48–53. 6 indexed citations

20.

Rassem, Taha H. & Bee Ee Khoo. (2011). Object class recognition using combination of color SIFT descriptors. 290–295. 7 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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