Hadil Shaiba

About

Hadil Shaiba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hadil Shaiba has authored 26 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Hadil Shaiba’s work include Sentiment Analysis and Opinion Mining (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neural Network Applications (3 papers). Hadil Shaiba is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neural Network Applications (3 papers). Hadil Shaiba collaborates with scholars based in Saudi Arabia, Egypt and United Kingdom. Hadil Shaiba's co-authors include Hamid A. Jalab, Rabha W. Ibrahim, Ali M. Hasan, Maya John, Souham Meshoul, Ammar Muthanna, Mashael Khayyat, Marija Bezbradica, Devrim Ünal and Prince Waqas Khan and has published in prestigious journals such as Sensors, IEEE Access and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Hadil Shaiba i

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Fields of papers citing papers by Hadil Shaiba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hadil Shaiba. 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 Hadil Shaiba. The network helps show where Hadil Shaiba may publish in the future.

Countries citing papers authored by Hadil Shaiba

Since Specialization

Citations

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