Muhammad Umar Khan

1.6k citations
115 papers · 1.2k · h-index 21

Impact in

Papers in

Muhammad Umar Khan

99 papers receiving 1.2k citations

Peers

Muhammad Umar Khan
Comparison fields: 5 of 113
  • Cardiology and Cardiovascular Medicine 413
  • Cognitive Neuroscience 281
  • Human-Computer Interaction 74
  • Signal Processing 134
  • Biomedical Engineering 426
Replace Sumair Aziz with:
Sumair Aziz Pakistan
Jianqing Li China
Achmad Rizal Indonesia
Udit Satija India
Yakup Kutlu Türkiye
Shivnarayan Patidar India
Muhammad Ibn Ibrahimy Malaysia
Luay Fraiwan Jordan
Yalçın İşler Türkiye
Anas Tahir Qatar
Muhammad Umar Khan relative to Sumair Aziz Pakistan Sumair Aziz's profile →
Citations per field
00.5×1.5×
Sumair Aziz · 1×
Citations per year

Countries citing papers authored by Muhammad Umar Khan

Since Specialization
Citations

This map shows the geographic impact of Muhammad Umar 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 Umar 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 Umar Khan more than expected).

Fields of papers citing papers by Muhammad Umar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 201967
3 202147
4 202044
5 201943
6 201941
7 201938
8 202137
9 202135
10 201934
11 201934
12 202032
13 202026
14 202126
15 201926
16 201924
17 201923
18 201922
19 202121
20 202021

About Muhammad Umar Khan

Muhammad Umar Khan is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 115 papers that have together received 1.2k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (35 papers), ECG Monitoring and Analysis (28 papers), EEG and Brain-Computer Interfaces (26 papers), Phonocardiography and Auscultation Techniques (21 papers), Heart Rate Variability and Autonomic Control (12 papers), Muscle activation and electromyography studies (10 papers), Machine Fault Diagnosis Techniques (9 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (413 citations), Cognitive Neuroscience (281 citations), Human-Computer Interaction (74 citations), Signal Processing (134 citations) and Biomedical Engineering (426 citations). Muhammad Umar Khan has collaborated with scholars based in Pakistan, Australia and Saudi Arabia. Frequent co-authors include Sumair Aziz, Syed Zohaib Hassan Naqvi, Tallha Akram, Muhammad Altaf, Majed Alhaisoni, Usman Qamar, Muhammad Bilal, Muhammad Arshad Javid, Muhammad Awais and Raul Fernandez Rojas. Their work appears in journals such as Sensors, Measurement, Computers in Biology and Medicine, Biomedical Signal Processing and Control and Nutrition and Metabolic Insights.

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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