Muhammad Azeem Abbas

439 total citations
37 papers, 278 citations indexed

About

Muhammad Azeem Abbas is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Azeem Abbas has authored 37 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 14 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Muhammad Azeem Abbas's work include Mobile Learning in Education (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Online Learning and Analytics (3 papers). Muhammad Azeem Abbas is often cited by papers focused on Mobile Learning in Education (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Online Learning and Analytics (3 papers). Muhammad Azeem Abbas collaborates with scholars based in Pakistan, United Kingdom and Malaysia. Muhammad Azeem Abbas's co-authors include Sharifullah Khan, Yaser Hafeez, Asif Nawaz, Gwo‐Jen Hwang, Bushra Hamid, Muhammad Taha Jilani, Arshia Rehman, Muhammad Aqib, Sadia Ali and Saheed Ajayi and has published in prestigious journals such as PLoS ONE, British Journal of Educational Technology and Multimedia Tools and Applications.

In The Last Decade

Muhammad Azeem Abbas

35 papers receiving 264 citations

Peers

Muhammad Azeem Abbas
Rukshan Athauda Australia
Sunday O. Ojo South Africa
Thomas Way United States
Vladimir L. Uskov United States
Muhammad Azeem Abbas
Citations per year, relative to Muhammad Azeem Abbas Muhammad Azeem Abbas (= 1×) peers Indriana Hidayah

Countries citing papers authored by Muhammad Azeem Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Azeem Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Azeem Abbas. 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 Muhammad Azeem Abbas. The network helps show where Muhammad Azeem Abbas may publish in the future.

Co-authorship network of co-authors of Muhammad Azeem Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Azeem Abbas. A scholar is included among the top collaborators of Muhammad Azeem Abbas 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 Muhammad Azeem Abbas. Muhammad Azeem Abbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abbas, Muhammad Azeem, et al.. (2024). The Evaluation of Augmented Reality Dictionary to Improve English Vocabulary. Journal of Advanced Research in Applied Sciences and Engineering Technology. 38(2). 129–141. 2 indexed citations
2.
Ajayi, Saheed, et al.. (2022). What property attributes are important to UK university students in their online accommodation search?. Journal of European real estate research. 16(1). 130–151. 2 indexed citations
3.
Abbas, Muhammad Azeem, Gwo‐Jen Hwang, Saheed Ajayi, Ghulam Mustafa, & Muhammad Bilal. (2021). Modelling and exploiting taxonomic knowledge for developing mobile learning systems to enhance children’s structural and functional categorization. Computers and Education Artificial Intelligence. 2. 100007–100007. 6 indexed citations
4.
Khan, Sharifullah, et al.. (2021). Machine Learning Approach for Prediction of Crimp in Cotton Woven Fabrics. Tehnicki vjesnik - Technical Gazette. 28(1). 4 indexed citations
5.
Ali, Sadia, Yaser Hafeez, Muhammad Azeem Abbas, Muhammad Aqib, & Asif Nawaz. (2021). Enabling remote learning system for virtual personalized preferences during COVID-19 pandemic. Multimedia Tools and Applications. 80(24). 33329–33355. 23 indexed citations
6.
Khan, Sharifullah, et al.. (2021). Usage patterns and effects of mobile learning activities using social learning apps on the achievement of undergraduate students in a history of art course. International Journal of Mobile Learning and Organisation. 15(4). 448–448. 2 indexed citations
7.
Abbas, Muhammad Azeem, et al.. (2020). An assistive environment for EAL academic writing using formulaic sequences classification. Interactive Learning Environments. 31(1). 407–421. 8 indexed citations
8.
Tang, Hong, et al.. (2019). An Empirical Throughput Analysis of Multimedia Applications with OpenFlow-based Dynamic Load Balancing Approach in WLAN. 網際網路技術學刊. 20(1). 237–246. 1 indexed citations
9.
Khan, Sharifullah, et al.. (2019). Determining Influential Factors and Challenges in Automatic Taxonomy Generation: A Systematic Literature Review of Techniques 1999-2016.. 24(2). 1 indexed citations
10.
Jilani, Muhammad Taha, et al.. (2019). An Application Framework of Crowdsourcing based Emergency Events Reporting in Smart Cities. 4 indexed citations
11.
Khan, Sharifullah, et al.. (2018). Topic based Summarization of Multiple Documents using Semantic Analysis and Clustering. 4. 70–74. 1 indexed citations
12.
Khan, Sharifullah, et al.. (2018). Enabling profound hearing impaired children to articulate words using lip-reading through software application.. PubMed. 68(3). 432–436. 1 indexed citations
13.
Jilani, Muhammad Taha, et al.. (2018). An implementation of IoT-based microwave sensing system for the evaluation of tissues moisture. Microelectronics Journal. 88. 117–127. 25 indexed citations
14.
Qadir, Muhammad Abdul, et al.. (2017). OWL2 benchmarking for the evaluation of knowledge based systems. PLoS ONE. 12(6). e0179578–e0179578. 1 indexed citations
15.
Khan, Sharifullah, et al.. (2017). Predicting performance of electrical engineering students using cognitive and non-cognitive features for identification of potential dropouts. International Journal of Electrical Engineering Education. 54(2). 105–118. 42 indexed citations
16.
Abbas, Muhammad Azeem, et al.. (2015). The effectiveness of semantic web based preschool cognitive skills tutoring system: An empirical study. 263–268. 2 indexed citations
17.
Abbas, Muhammad Azeem, et al.. (2014). Semantic Web Technologies for Pre-School Cognitive Skills Tutoring System *. Journal of information science and engineering. 30(3). 835–851. 5 indexed citations
18.
Abbas, Muhammad Azeem, et al.. (2012). Techniques for data-race detection and fault tolerance: A survey. 31. 958–961. 2 indexed citations
19.
Abbas, Muhammad Azeem, et al.. (2012). Resource Description Framework based intelligent tutoring system. 12. 324–328. 3 indexed citations
20.
Abbas, Muhammad Azeem & Muhammad Abdul Qadir. (2009). Cross attribute knowledge: A missing concept in semantic cache query processing. 5. 1–6. 3 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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