Dawar Khan

648 citations
51 papers · 394 indexed · h-index 12
Topics
Augmented Reality Applications (8 papers)Computer Graphics and Visualization Techniques (5 papers)Robotics and Sensor-Based Localization (5 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchInternational Journal of Molecular Sciences
Partner nations
PakistanChinaJapan

In The Last Decade

Dawar Khan

43 papers receiving 380 citations

Peers

Dawar Khan
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 104
  • Human-Computer Interaction 59
  • Aerospace Engineering 52
  • Computational Mechanics 47
  • Computer Graphics and Computer-Aided Design 45
Replace Abdullah Bade with:
Abdullah Bade Malaysia
Younhyun Jung South Korea
Cheng Wan China
Chang Xiao United States
Tobias Sielhorst Germany
Chih‐Yuan Yao Taiwan
Takuya Funatomi Japan
James Cunningham United States
Steven Senger United States
Mingmin Zhang China
Dawar Khan relative to Abdullah Bade Malaysia Abdullah Bade's profile →
Citations per field
00.5×2.9×
Abdullah Bade · 1×
Citations per year

Countries citing papers authored by Dawar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Dawar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawar Khan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 4
7 5
8 1
9 0
10 6
11 7
12 13
13 11
14 15
15 2
16
Automatic generation of layered marker for long range augmented reality applications
5
17 4
18 1
19 8
20 11

About Dawar Khan

Dawar Khan is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 394 indexed citations. Recurring topics across this work include Augmented Reality Applications (8 papers), Computer Graphics and Visualization Techniques (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (45 citations), Human-Computer Interaction (59 citations) and Computer Vision and Pattern Recognition (104 citations). Dawar Khan has collaborated with scholars based in Pakistan, China and Japan. Frequent co-authors include Sehat Ullah, Ihsan Rabbi, Numan Ali, Xiaopeng Zhang, Dong‐Ming Yan, Zhanglin Cheng, Sikandar Ali, Hirokazu Kato, Hideaki Uchiyama and Alexander Plopski. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and International Journal of Molecular Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026