Taha H. Rassem

33 papers and 786 indexed citations i.

About

Taha H. Rassem is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Taha H. Rassem has authored 33 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Neurology. Recurrent topics in Taha H. Rassem’s work include Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Taha H. Rassem is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Taha H. Rassem collaborates with scholars based in Malaysia, Saudi Arabia and United Kingdom. Taha H. Rassem's co-authors include Bee Ee Khoo, Nasrin M. Makbol, Ebrahim Mohammed Senan, Badiea Abdulkarem Mohammed, Zeyad Ghaleb Al-Mekhlafi, Khaled Loukhaoukha, Fuad A. Ghaleb, Adwan Alanazi, Mukti E. Jadhav and Mohammed A. H. Ali and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

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

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.

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).

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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