Mubashir Imran

502 total citations
10 papers, 318 citations indexed

About

Mubashir Imran is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mubashir Imran has authored 10 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Mubashir Imran's work include Caching and Content Delivery (3 papers), Complex Network Analysis Techniques (3 papers) and scientometrics and bibliometrics research (2 papers). Mubashir Imran is often cited by papers focused on Caching and Content Delivery (3 papers), Complex Network Analysis Techniques (3 papers) and scientometrics and bibliometrics research (2 papers). Mubashir Imran collaborates with scholars based in Saudi Arabia, Australia and China. Mubashir Imran's co-authors include Saeed‐Ul Hassan, Naif Radi Aljohani, F. M. Javed Mehedi Shamrat, Timothy D. Bowman, Tong Chen, Sovon Chakraborty, Md. Masum Billah, Kai Zheng, Obaidur Rahman and Hongzhi Yin and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Scientometrics and ACM Transactions on Information Systems.

In The Last Decade

Mubashir Imran

10 papers receiving 302 citations

Peers

Countries citing papers authored by Mubashir Imran

Since Specialization

Citations

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

Fields of papers citing papers by Mubashir Imran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubashir Imran

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng	4
2	ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences 2022 ·ACM Transactions on Information Systems ·Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng	65
3	Sentiment analysis on twitter tweets about COVID-19 vaccines usi ng NLP and supervised KNN classification algorithm 2021 ·Indonesian Journal of Electrical Engineering and Computer Science ·F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Mubashir Imran, (unknown), Md. Masum Billah, (unknown), Obaidur Rahman	86
4	DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks 2021 ·King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng	4
5	Supervised machine learning based liver disease prediction approach with LASSO feature selection 2021 ·Bulletin of Electrical Engineering and Informatics ·(unknown), F. M. Javed Mehedi Shamrat, (unknown), (unknown), (unknown), Mubashir Imran, (unknown)	29
6	An Automated Smart Embedded System on Fire Detection and Prevention for Ensuring Safety 2021 ·2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) ·F. M. Javed Mehedi Shamrat, (unknown), Zakia Sultana, Mubashir Imran, (unknown), (unknown)	3
7	Influential tweeters in relation to highly cited articles in altmetric big data 2019 ·Scientometrics ·Saeed‐Ul Hassan, Timothy D. Bowman, Mudassir Shabbir, (unknown), Mubashir Imran, Naif Radi Aljohani	14
8	Alt-Index: A proposed Index for measuring the Social Activity of Scientific Research 2018 ·Leiden Repository (Leiden University) ·Saeed‐Ul Hassan, Mubashir Imran, Alesia Zuccala	1
9	Deep context of citations using machine-learning models in scholarly full-text articles 2018 ·Scientometrics ·Saeed‐Ul Hassan, Mubashir Imran, (unknown), Naif Radi Aljohani, Raheel Nawaz	45
10	Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data 2017 ·Scientometrics ·Saeed‐Ul Hassan, Mubashir Imran, (unknown), Naif Radi Aljohani, Timothy D. Bowman, Fereshteh Didegah	67

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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