Muhammad Farhan

183 papers receiving 1.7k citations

Peers

Muhammad Farhan
Comparison fields: 5 of 170
  • Fluid Flow and Transfer Processes 93
  • Computer Science Applications 79
  • Information Systems 288
  • Biological Psychiatry 25
  • Health Informatics 13
Replace Abdullah Mohamed with:
Abdullah Mohamed Egypt
Robert J. Howlett United Kingdom
Dun Li China
Nachaat Mohamed India
Maria Simona Raboacă Romania
Ian Watson United Kingdom
Ivan Lee Australia
Francisco J. Martínez Spain
Russell Beale United Kingdom
Muhammad Farhan relative to Abdullah Mohamed Egypt Abdullah Mohamed's profile →
Citations per field
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Citations per year

Countries citing papers authored by Muhammad Farhan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Farhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Farhan, 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 Farhan Line = papers co-authored together Muhammad Farhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 224 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017111
2 201687
3 202179
4 202357
5 201755
6 202152
7 202346
8 201842
9 202040
10 202338
11 201236
12 201534
13 202426
14 201625
15 201625
16 202422
17 202421
18 201820
19 201520
20 201320

About Muhammad Farhan

Muhammad Farhan is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Education, having authored 224 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (11 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), IoT and Edge/Fog Computing (10 papers), Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (10 papers), Islamic Finance and Communication (9 papers), Educational Methods and Media Use (8 papers) and Tryptophan and brain disorders (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (93 citations), Computer Science Applications (79 citations), Information Systems (288 citations), Biological Psychiatry (25 citations) and Health Informatics (13 citations). Muhammad Farhan has collaborated with scholars based in Pakistan, China and Indonesia. Frequent co-authors include Sohail Jabbar, Shehzad Khalid, Farhan Ullah, Muhammad Aslam, Rana Muhammad Amir Latif, Aqil Tariq, Fanhua Ma, Muhammad Ihsan Shahid, Anas Rao and Darakhshan Jabeen Haleem. Their work appears in journals such as Energy, Multimedia Tools and Applications, PLoS ONE, IEEE Access and International Journal of Hydrogen Energy.

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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