Abdul Rahaman Wahab Sait

About

Abdul Rahaman Wahab Sait is a scholar working on Artificial Intelligence, Neurology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abdul Rahaman Wahab Sait has authored 53 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Neurology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abdul Rahaman Wahab Sait’s work include Brain Tumor Detection and Classification (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Artificial Intelligence in Healthcare (6 papers). Abdul Rahaman Wahab Sait is often cited by papers focused on Brain Tumor Detection and Classification (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Artificial Intelligence in Healthcare (6 papers). Abdul Rahaman Wahab Sait collaborates with scholars based in Saudi Arabia, India and Malaysia. Abdul Rahaman Wahab Sait's co-authors include K. Shankar, Hari Mohan Pandey, Deepak Gupta, S. K. Lakshmanaprabu, Ashish Khanna, Ashit Kumar Dutta, Yasser Albagory, Romany F. Mansour, L. Natrayan and Margarita Gamarra and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Abdul Rahaman Wahab Sait i

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Fields of papers citing papers by Abdul Rahaman Wahab Sait

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdul Rahaman Wahab Sait. 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 Abdul Rahaman Wahab Sait. The network helps show where Abdul Rahaman Wahab Sait may publish in the future.

Countries citing papers authored by Abdul Rahaman Wahab Sait

Since Specialization

Citations

This map shows the geographic impact of Abdul Rahaman Wahab Sait'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 Abdul Rahaman Wahab Sait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Rahaman Wahab Sait 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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