Muhammad Abdullah

593 citations
28 papers · 416 · h-index 12

Impact in

Papers in

Muhammad Abdullah

26 papers receiving 407 citations

Peers

Muhammad Abdullah
Comparison fields: 5 of 62
  • Human-Computer Interaction 115
  • Cognitive Neuroscience 176
  • Ophthalmology 79
  • Computer Vision and Pattern Recognition 90
  • Geology 23
Replace George Alex Koulieris with:
George Alex Koulieris United Kingdom
Alexander Plopski Japan
Patrick Renner Germany
Eric E. Geiselman United States
Erroll Wood United Kingdom
Carmine Elvezio United States
Stefano Michieletto Italy
Masahiro Toyoura Japan
Augusto Esteves Portugal
Xiangzhou Wang China
Muhammad Abdullah relative to George Alex Koulieris United Kingdom George Alex Koulieris's profile →
Citations per field
00.5×4.6×
George Alex Koulieris · 1×
Citations per year

Countries citing papers authored by Muhammad Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 201041
3 201041
4 201834
5 201733
6 202423
7 202119
8 202218
9 202117
10 202015
11 201714
12 202113
13 202411
14 202210
15 20157
16 20246
17 20204
18 20233
19 20223
20 20192

About Muhammad Abdullah

Muhammad Abdullah is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Geology, Mechanical Engineering and Human-Computer Interaction, having authored 28 papers that have together received 416 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (8 papers), Tactile and Sensory Interactions (5 papers), Computer Graphics and Visualization Techniques (4 papers), Optical measurement and interference techniques (4 papers), Interactive and Immersive Displays (3 papers), Teleoperation and Haptic Systems (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (115 citations), Cognitive Neuroscience (176 citations), Ophthalmology (79 citations), Computer Vision and Pattern Recognition (90 citations) and Geology (23 citations). Muhammad Abdullah has collaborated with scholars based in Germany, Pakistan and South Korea. Frequent co-authors include Muhammad Moazam Fraz, Sarah Barman, Seokhee Jeon, Yoshihiro Kuroda, Patrick Baudisch, Thijs Roumen, Minji Kim, Muhammad Rizwan Younis, Peiguang Yan and Sang Chul Ahn. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Advanced Materials Technologies, PeerJ, IEEE Transactions on Haptics and IEEE Access.

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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