Ivan Shubin

3.5k citations
108 papers · 2.7k · h-index 27

Impact in

Papers in

Ivan Shubin

101 papers receiving 2.5k citations

Peers

Ivan Shubin
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 2.4k
  • Atomic and Molecular Physics, and Optics 1.1k
  • Acoustics and Ultrasonics 18
  • Artificial Intelligence 343
  • Surfaces, Coatings and Films 73
Replace Takaaki Kakitsuka with:
Takaaki Kakitsuka Japan
Kannan Raj United States
Dazeng Feng United States
Anatol Khilo United States
Ivana Gasulla Spain
Jared F. Bauters United States
Yonghui Tian China
Young-Kai Chen United States
Aaron Zilkie United States
Ivan Shubin relative to Takaaki Kakitsuka Japan Takaaki Kakitsuka's profile →
Citations per field
00.5×3.5×
Takaaki Kakitsuka · 1×
Citations per year

Countries citing papers authored by Ivan Shubin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Shubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009350
2 1996216
3 2011190
4 2011133
5 2013132
6 2012127
7 2010123
8 201084
9 201474
10 201160
11 201660
12 201256
13 201356
14 201154
15 201448
16 201140
17 200839
18 201137
19 201531
20 201631

About Ivan Shubin

Ivan Shubin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Artificial Intelligence and Mechanical Engineering, having authored 108 papers that have together received 2.7k indexed citations. Recurring topics across this work include Photonic and Optical Devices (88 papers), Semiconductor Lasers and Optical Devices (58 papers), Optical Network Technologies (49 papers), Advanced Photonic Communication Systems (42 papers), 3D IC and TSV technologies (12 papers), Advanced Fiber Laser Technologies (11 papers), Advanced MEMS and NEMS Technologies (8 papers) and Photonic Crystals and Applications (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.4k citations), Atomic and Molecular Physics, and Optics (1.1k citations), Acoustics and Ultrasonics (18 citations), Artificial Intelligence (343 citations) and Surfaces, Coatings and Films (73 citations). Ivan Shubin has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include J. E. Cunningham, Ashok V. Krishnamoorthy, Xuezhe Zheng, Hiren Thacker, Ying Luo, Kannan Raj, Jin Yao, Guoliang Li, Jon Lexau and Guoliang Li. Their work appears in journals such as Optics Express, IEEE Journal of Selected Topics in Quantum Electronics, IEEE Photonics Technology Letters, Journal of Lightwave Technology and IEEE Transactions on Components Packaging and Manufacturing Technology.

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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