Muhammad Umer Khan

45 papers receiving 564 citations

Peers

Muhammad Umer Khan
Comparison fields: 5 of 98
  • Health Information Management 36
  • Cognitive Neuroscience 88
  • Radiology, Nuclear Medicine and Imaging 86
  • Computer Vision and Pattern Recognition 84
  • Control and Systems Engineering 95
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Renann G. Baldovino Philippines
Sherif E. Hussein Egypt
Xiao Gu China
Rakesh Kumar Mahendran India
Ch. Usha Kumari India
Peng Ji China
M. Cevdet İnce Türkiye
Oyebade K. Oyedotun Luxembourg
Ghulam Ali Pakistan
Mahmut Hekim Türkiye
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Citations per year

Countries citing papers authored by Muhammad Umer Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Umer Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201895
2 202089
3 200858
4 201632
5 202030
6 201630
7 202227
8 202222
9 202021
10 202420
11 201620
12 201112
13 201612
14 201910
15 20249
16 20199
17 20208
18 20257
19 20037
20 20187

About Muhammad Umer Khan

Muhammad Umer Khan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 52 papers that have together received 600 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (6 papers), Advanced Vision and Imaging (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Robotics and Sensor-Based Localization (5 papers), Control and Dynamics of Mobile Robots (4 papers), Smart Agriculture and AI (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Health Information Management (36 citations), Cognitive Neuroscience (88 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Computer Vision and Pattern Recognition (84 citations) and Control and Systems Engineering (95 citations). Muhammad Umer Khan has collaborated with scholars based in Pakistan, Türkiye and Saudi Arabia. Frequent co-authors include Muhammad Shahab Alam, Mansoor Alam, Muhammad Tufail, Muhammad Tahir Khan, Rayyan Azam Khan, Qixin Wang, Noman Naseer, Farzan Majeed Noori, Shuai Li and Nauman Khalid Qureshi. Their work appears in journals such as Applied Sciences, PLoS ONE, Industrial Robot the international journal of robotics research and application, Medical Oncology and Frontiers in Bioscience-Landmark.

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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