Amīr Ḥamzah

17 papers and 23 indexed citations i.

About

Amīr Ḥamzah is a scholar working on Information Systems, Artificial Intelligence and Accounting. According to data from OpenAlex, Amīr Ḥamzah has authored 17 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Artificial Intelligence and 3 papers in Accounting. Recurrent topics in Amīr Ḥamzah’s work include Edcuational Technology Systems (7 papers), Data Mining and Machine Learning Applications (5 papers) and Blockchain Technology in Education and Learning (4 papers). Amīr Ḥamzah is often cited by papers focused on Edcuational Technology Systems (7 papers), Data Mining and Machine Learning Applications (5 papers) and Blockchain Technology in Education and Learning (4 papers). Amīr Ḥamzah collaborates with scholars based in Indonesia. Amīr Ḥamzah's co-authors include Adhi Susanto, Abdul Hadi, Arfianti Arfianti and Edhy Sutanta and has published in prestigious journals such as Jurnal Teknologi, Bulletin of Electrical Engineering and Informatics and Webology.

In The Last Decade

Co-authorship network of co-authors of Amīr Ḥamzah i

Fields of papers citing papers by Amīr Ḥamzah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amīr Ḥamzah

Since Specialization
Citations

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