Mustafa Doga Dogan

495 citations
23 papers · 360 indexed · h-index 9
Topics
Interactive and Immersive Displays (10 papers)Augmented Reality Applications (7 papers)Additive Manufacturing and 3D Printing Technologies (5 papers)
Journals
IEEE Robotics and Automation LettersArXiv.orgSussex Research Online (University of Sussex)
Partner nations
United StatesJapanSpain

In The Last Decade

Mustafa Doga Dogan

21 papers receiving 350 citations

Peers

Mustafa Doga Dogan
Comparison fields: 5 of 57
  • Human-Computer Interaction 167
  • Computer Vision and Pattern Recognition 113
  • Automotive Engineering 83
  • Mechanical Engineering 63
  • Biomedical Engineering 62
Replace Mina Konaković Luković with:
Mina Konaković Luković United States
Greg Saul United Kingdom
Ruta Desai United States
Alexandre Kaspar United States
Haichuan Song China
Theekapun Charoenpong Thailand
Marta Niccolini Italy
Francesco Cosco Italy
Kyle Strabala United States
Mustafa Doga Dogan relative to Mina Konaković Luković United States Mina Konaković Luković's profile →
Citations per field
00.5×
Mina Konaković Luković · 1×
Citations per year

Countries citing papers authored by Mustafa Doga Dogan

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Doga Dogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mustafa Doga Dogan. 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 Mustafa Doga Dogan. The network helps show where Mustafa Doga Dogan may publish in the future.

Co-authorship network of co-authors of Mustafa Doga Dogan

This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Doga Dogan. A scholar is included among the top collaborators of Mustafa Doga Dogan 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 Mustafa Doga Dogan. Mustafa Doga Dogan 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 2
2 4
3 0
4 1
5 1
6 3
7 19
8 4
9 8
10 2
11 15
12 8
13 13
14 8
15 45
16 25
17 69
18 30
19 33
20 66

About Mustafa Doga Dogan

Mustafa Doga Dogan is a scholar working on Human-Computer Interaction, Architecture and Industrial and Manufacturing Engineering, having authored 23 papers that have together received 360 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (10 papers), Augmented Reality Applications (7 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). The work is most often cited by research in Human-Computer Interaction (167 citations), Automotive Engineering (83 citations) and Gastroenterology (36 citations). Mustafa Doga Dogan has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Stefanie Mueller, Metin Sitti, Donghoon Son, Jack Forman, Hiroshi Ishii, Aakar Gupta, Yunyi Zhu, Akshat Kumar, Michael T. Lu and Kaan Akşit. Their work appears in journals such as IEEE Robotics and Automation Letters, ArXiv.org and Sussex Research Online (University of Sussex).

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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