Gulbadan Sikander

679 citations
14 papers · 458 indexed · 1 hit paper · h-index 7
Topics
Sleep and Work-Related Fatigue (4 papers)Autonomous Vehicle Technology and Safety (3 papers)Energy Harvesting in Wireless Networks (2 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Intelligent Transportation Systems

In The Last Decade

Gulbadan Sikander

14 papers receiving 442 citations

Hit Papers

Driver Fatigue Detection Systems: A Review20182026202020232018100200300

Peers

Gulbadan Sikander
Comparison fields: 5 of 67
  • Experimental and Cognitive Psychology 272
  • Social Psychology 115
  • Biomedical Engineering 82
  • Automotive Engineering 71
  • Electrical and Electronic Engineering 71
Replace Rahul Banerjee with:
Rahul Banerjee India
Sang‐Joong Jung South Korea
Qichang He China
Pamela Zontone Italy
Daesub Yoon South Korea
Arun Sahayadhas India
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Byungtae Jang South Korea
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Gulbadan Sikander relative to Rahul Banerjee India Rahul Banerjee's profile →
Citations per field
00.5×2.8×
Rahul Banerjee · 1×
Citations per year

Countries citing papers authored by Gulbadan Sikander

Since Specialization
Citations

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

Fields of papers citing papers by Gulbadan Sikander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gulbadan Sikander

This figure shows the co-authorship network connecting the top 25 collaborators of Gulbadan Sikander. A scholar is included among the top collaborators of Gulbadan Sikander 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 Gulbadan Sikander. Gulbadan Sikander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 3
2 2
3 39
4 1
5 3
6 12
7 24
8 6
9 1
10 1
11
Driver Fatigue Detection Systems: A Reviewbreakdown →
340
12 7
13 1
14 18

About Gulbadan Sikander

Gulbadan Sikander is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 14 papers that have together received 458 indexed citations. Recurring topics across this work include Sleep and Work-Related Fatigue (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Energy Harvesting in Wireless Networks (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (272 citations), Human-Computer Interaction (33 citations) and Automotive Engineering (71 citations). Gulbadan Sikander has collaborated with scholars based in Pakistan, South Korea and Malaysia. Frequent co-authors include Shahzad Anwar, Ghassan Husnain, Sangsoon Lim, Muhammad Tahir Khan, Maheen Bakhtyar, Mohammad Inayatullah Babar, Mohammed Rashid, Anwar Shahzad, Megat F. Zuhairi and Mohammad Haseeb Zafar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

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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