Muhammad Bilal Shaikh

870 citations
9 papers · 99 indexed · h-index 5
Topics
Human Pose and Action Recognition (9 papers)Anomaly Detection Techniques and Applications (7 papers)Hand Gesture Recognition Systems (4 papers)
Partner nations
AustraliaSouth Sudan

In The Last Decade

Muhammad Bilal Shaikh

8 papers receiving 96 citations

Peers

Muhammad Bilal Shaikh
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 70
  • Artificial Intelligence 42
  • Human-Computer Interaction 24
  • Biomedical Engineering 16
  • Control and Systems Engineering 7
Replace Dipika Singhania with:
Dipika Singhania Singapore
Sina Honari Switzerland
Haimonti Dutta India
Michael Sapienza United Kingdom
Stefano Pellegrini Italy
Pravin Futane India
Lumin Xu China
Lipeng Ke United States
Kevin Zhang United States
Boya Peng China
Muhammad Bilal Shaikh relative to Dipika Singhania Singapore Dipika Singhania's profile →
Citations per field
00.5×5.3×
Dipika Singhania · 1×
Citations per year

Countries citing papers authored by Muhammad Bilal Shaikh

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Bilal Shaikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Bilal Shaikh

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Bilal Shaikh. A scholar is included among the top collaborators of Muhammad Bilal Shaikh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Bilal Shaikh. Muhammad Bilal Shaikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 11
2 0
3 16
4 3
5 1
6 4
7 4
8 14
9 46

About Muhammad Bilal Shaikh

Muhammad Bilal Shaikh is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 9 papers that have together received 99 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Anomaly Detection Techniques and Applications (7 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (24 citations), Computer Vision and Pattern Recognition (70 citations) and Artificial Intelligence (42 citations). Muhammad Bilal Shaikh has collaborated with scholars based in Australia and South Sudan. Frequent co-authors include Douglas Chai, Naveed Akhtar, Syed Mohammed Shamsul Islam and Douglas. Their work appears in journals such as Sensors, Australasian Journal of Paramedicine and Neural Computing and Applications.

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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