Muhammad Ehsan Rana

1.1k citations
131 papers · 548 · h-index 12

Impact in

Papers in

Muhammad Ehsan Rana

102 papers receiving 526 citations

Peers

Muhammad Ehsan Rana
Comparison fields: 5 of 77
  • Information Systems 163
  • Health Informatics 9
  • Management Information Systems 49
  • Computer Networks and Communications 107
  • Information Systems and Management 28
Replace Hanane Allioui with:
Hanane Allioui Morocco
Naeem Khalid Janjua Australia
Zdzisław Pólkowski India
Shamimul Qamar Saudi Arabia
Stefan Avesand Sweden
Shabnam Kumari India
Priyanka Kaushik India
Amit Kumar Mishra India
Ahmad B. Alkhodre Saudi Arabia
Wenli Yang Australia
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Citations per field
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Citations per year

Countries citing papers authored by Muhammad Ehsan Rana

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ehsan Rana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Ehsan Rana, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Ehsan Rana Line = papers co-authored together Muhammad Ehsan Rana links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201823
2 202121
3 202218
4 202217
5 202117
6 202217
7 201515
8 202215
9 201714
10 202213
11 202313
12 202113
13 202212
14 202112
15 202212
16 201811
17 202110
18 20229
19 20249
20 20228

About Muhammad Ehsan Rana

Muhammad Ehsan Rana is a scholar working on Information Systems, Computer Networks and Communications, Management Information Systems, Artificial Intelligence and Information Systems and Management, having authored 131 papers that have together received 548 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (25 papers), Cloud Computing and Resource Management (23 papers), Big Data and Business Intelligence (15 papers), Blockchain Technology Applications and Security (12 papers), IoT-based Smart Home Systems (11 papers), Software Engineering Research (8 papers), Cloud Data Security Solutions (7 papers) and Water Quality Monitoring Technologies (7 papers). The work is most often cited by research in Information Systems (163 citations), Health Informatics (9 citations), Management Information Systems (49 citations), Computer Networks and Communications (107 citations) and Information Systems and Management (28 citations). Muhammad Ehsan Rana has collaborated with scholars based in Malaysia, India and United Kingdom. Frequent co-authors include Vazeerudeen Abdul Hameed, Manoj Jayabalan, Raed Abdulla, Hrudaya Kumar Tripathy, Qusay Al-Maatouk, Babak Bashari Rad, Ruixia Li, Omar M. Saad, Wei Wang and Mohamed Shabbir Hamza Abdulnabi. Their work appears in journals such as Frontiers in Plant Science, IEEE Access, Transactions on Emerging Telecommunications Technologies, Advanced Science Letters and Journal of Computational and Theoretical Nanoscience.

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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