Abdulaziz Alhumam

28 papers and 396 indexed citations i.

About

Abdulaziz Alhumam is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Abdulaziz Alhumam has authored 28 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Abdulaziz Alhumam’s work include COVID-19 diagnosis using AI (6 papers), IoT and Edge/Fog Computing (6 papers) and Adversarial Robustness in Machine Learning (4 papers). Abdulaziz Alhumam is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), IoT and Edge/Fog Computing (6 papers) and Adversarial Robustness in Machine Learning (4 papers). Abdulaziz Alhumam collaborates with scholars based in Saudi Arabia, United States and India. Abdulaziz Alhumam's co-authors include Zahrah A. Almusaylim, N. Z. Jhanjhi, Shakeel Ahmed, Parvathaneni Naga Srinivasu, Hafiz Farooq Ahmad, Hamid Mukhtar, Mohamed E. Seliaman, Noor E. Hafsa, Mona A. S. Ali and Muhammad Fazal Ijaz and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Abdulaziz Alhumam i

Fields of papers citing papers by Abdulaziz Alhumam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abdulaziz Alhumam

Since Specialization
Citations

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