Arham Muslim

508 total citations
16 papers, 246 citations indexed

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 16 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in Computer Networks and Communications. Recurrent topics in Arham Muslim's work include Online Learning and Analytics (8 papers), Explainable Artificial Intelligence (XAI) (5 papers) and E-Learning and Knowledge Management (5 papers). Arham Muslim is often cited by papers focused on Online Learning and Analytics (8 papers), Explainable Artificial Intelligence (XAI) (5 papers) and E-Learning and Knowledge Management (5 papers). Arham Muslim collaborates with scholars based in Germany, Pakistan and United States. Arham Muslim's co-authors include Ulrik Schroeder, Mohamed Amine Chatti, Mohamed Amine Chatti, Anna Lea Dyckhoff, Hendrik Thüs, Ahmed Mohamed Fahmy Yousef, Elena Meshkova, Janne Riihijärvi, Petri Mähönen and Junaid Ansari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Networks and The International Review of Research in Open and Distributed Learning.

In The Last Decade

Arham Muslim

16 papers receiving 229 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arham Muslim Germany 9 164 64 53 51 34 16 246
Alfred Essa United States 7 195 1.2× 68 1.1× 34 0.6× 62 1.2× 31 0.9× 17 236
Carlo De Medio Italy 6 95 0.6× 76 1.2× 96 1.8× 58 1.1× 22 0.6× 25 247
Isidoro Hernán Losada Spain 9 261 1.6× 40 0.6× 84 1.6× 92 1.8× 96 2.8× 17 333
Everaldo Aguiar United States 7 169 1.0× 125 2.0× 38 0.7× 62 1.2× 11 0.3× 10 275
Essi Isohanni Finland 6 268 1.6× 60 0.9× 85 1.6× 27 0.5× 99 2.9× 8 313
Ranilson Paiva Brazil 7 107 0.7× 66 1.0× 50 0.9× 35 0.7× 88 2.6× 29 191
Ali Salah Hashim Iraq 6 157 1.0× 98 1.5× 83 1.6× 35 0.7× 6 0.2× 11 279
Atanas Radenski United States 9 139 0.8× 35 0.5× 52 1.0× 36 0.7× 54 1.6× 29 233
Hugo A. Parada G. Spain 9 175 1.1× 65 1.0× 106 2.0× 77 1.5× 35 1.0× 14 276
Mewati Ayub Indonesia 10 144 0.9× 104 1.6× 121 2.3× 28 0.5× 24 0.7× 47 281

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).

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.

Co-authorship network of co-authors of Arham Muslim

This figure shows the co-authorship network connecting the top 25 collaborators of Arham Muslim. A scholar is included among the top collaborators of Arham Muslim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arham Muslim. Arham Muslim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Chatti, Mohamed Amine, et al.. (2024). Visualization for Recommendation Explainability: A Survey and New Perspectives. ACM Transactions on Interactive Intelligent Systems. 14(3). 1–40. 7 indexed citations
2.
Chatti, Mohamed Amine, et al.. (2022). Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study. 175–183. 11 indexed citations
3.
Chatti, Mohamed Amine, et al.. (2021). Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details.. Conference on Recommender Systems. 55–72. 8 indexed citations
4.
Chatti, Mohamed Amine, et al.. (2021). Open, Scrutable and Explainable Interest Models for Transparent Recommendation.. Universitätsbibliographie, Universität Duisburg-Essen. 4 indexed citations
5.
Chatti, Mohamed Amine, et al.. (2021). SIMT: A Semantic Interest Modeling Toolkit. 39. 75–78. 3 indexed citations
6.
Muslim, Arham, Mohamed Amine Chatti, & Ulrik Schroeder. (2021). Supporting Indicator Personalization and Platform Extensibility in Open Learning Analytics. Technology Knowledge and Learning. 27(2). 429–448. 2 indexed citations
7.
Chatti, Mohamed Amine, et al.. (2021). On-demand Personalized Explanation for Transparent Recommendation. 246–252. 13 indexed citations
8.
Chatti, Mohamed Amine & Arham Muslim. (2019). The PERLA Framework: Blending Personalization and Learning Analytics. The International Review of Research in Open and Distributed Learning. 20(1). 33 indexed citations
9.
Muslim, Arham, et al.. (2018). A Modular and Extensible Framework for Open Learning Analytics. Journal of Learning Analytics. 5(1). 8 indexed citations
10.
Muslim, Arham, et al.. (2017). The Goal - Question - Indicator Approach for Personalized Learning Analytics. 371–378. 8 indexed citations
11.
Muslim, Arham, et al.. (2016). A rule-based indicator definition tool for personalized learning analytics. 264–273. 17 indexed citations
12.
Chatti, Mohamed Amine, et al.. (2014). Data Models in Learning Analytics. RWTH Publications (RWTH Aachen). 88–95. 10 indexed citations
13.
Chatti, Mohamed Amine, et al.. (2014). Learning Analytics: Challenges and Future Research Directions. SHILAP Revista de lepidopterología. 55 indexed citations
14.
Ansari, Junaid, et al.. (2014). CONFab: Ontology and component based optimization of WSN protocol stacks with deployment feedback. Computer Networks. 74. 89–108. 1 indexed citations
15.
Dyckhoff, Anna Lea, et al.. (2013). Supporting action research with learning analytics. 220–229. 64 indexed citations
16.
Ansari, Junaid, et al.. (2012). CONFab. 19–28. 2 indexed citations

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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