Arham Muslim

7 papers and 68 indexed citations i.

About

Arham Muslim is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Arham Muslim has authored 7 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Science Applications and 3 papers in Computer Networks and Communications. Recurrent topics in Arham Muslim’s work include Online Learning and Analytics (4 papers), E-Learning and Knowledge Management (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Arham Muslim is often cited by papers focused on Online Learning and Analytics (4 papers), E-Learning and Knowledge Management (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Arham Muslim collaborates with scholars based in Germany and Pakistan. Arham Muslim's co-authors include Mohamed Amine Chatti, Ulrik Schroeder, Mohamed Amine Chatti, Ahmed Mohamed Fahmy Yousef, Hendrik Thüs, Junaid Ansari, Petri Mähönen, Elena Meshkova and Janne Riihijärvi and has published in prestigious journals such as Computer Networks, The International Review of Research in Open and Distributed Learning and Technology Knowledge and Learning.

In The Last Decade

Co-authorship network of co-authors of Arham Muslim i

Fields of papers citing papers by Arham Muslim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arham Muslim

Since Specialization
Citations

This map shows the geographic impact of Arham Muslim'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 Arham Muslim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arham Muslim 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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2025