Taha H. Rassem
- Computer Vision and Pattern Recognition top 2%
- Neurology top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Bee Ee KhooNasrin M. MakbolEbrahim Mohammed SenanBadiea Abdulkarem MohammedZeyad Ghaleb Al-MekhlafiKhaled LoukhaoukhaAdwan AlanaziAbdulaziz Aljaloud
- Topics
- Image Retrieval and Classification Techniques (13 papers)Advanced Image and Video Retrieval Techniques (12 papers)Advanced Steganography and Watermarking Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- MalaysiaSaudi ArabiaYemen
In The Last Decade
Taha H. Rassem
39 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 562
- Neurology 290
- Artificial Intelligence 267
- Radiology, Nuclear Medicine and Imaging 123
- Cognitive Neuroscience 112
Countries citing papers authored by Taha H. Rassem
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 1 | |
| 3 | 118 | |
| 4 | 7 | |
| 5 | 40 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | ABC Algorithm for Combinatorial Testing Problem | 5 |
| 12 | Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation | 6 |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 58 | |
| 19 | 6 | |
| 20 | 7 |
About Taha H. Rassem
Taha H. Rassem is a scholar working on Computer Vision and Pattern Recognition, Software and Neurology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this 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). The work is most often cited by research in Neurology (290 citations), Computer Vision and Pattern Recognition (562 citations) and Health Information Management (73 citations). Taha H. Rassem has collaborated with scholars based in Malaysia, Saudi Arabia and Yemen. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.