Ibrahim Abunadi

39 papers and 612 indexed citations i.

About

Ibrahim Abunadi is a scholar working on Artificial Intelligence, Information Systems and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ibrahim Abunadi has authored 39 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ibrahim Abunadi’s work include COVID-19 diagnosis using AI (6 papers), AI in cancer detection (6 papers) and Smart Agriculture and AI (5 papers). Ibrahim Abunadi is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), AI in cancer detection (6 papers) and Smart Agriculture and AI (5 papers). Ibrahim Abunadi collaborates with scholars based in Saudi Arabia, India and Pakistan. Ibrahim Abunadi's co-authors include Ebrahim Mohammed Senan, Amjad Rehman, Tanzila Saba, Fahd N. Al‐Wesabi, Suliman Mohamed Fati, Deepika Kumar, Mamta Mittal, A.P. Mittal, Mukti E. Jadhav and Sudipta Roy and has published in prestigious journals such as Sensors, IEEE Access and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Ibrahim Abunadi i

Fields of papers citing papers by Ibrahim Abunadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ibrahim Abunadi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025