Data Storage Institute
Impact in
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- Metamaterials and Metasurfaces Applications
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- Magnetic properties of thin films
- Orbital Angular Momentum in Optics
Papers in
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- Magnetic properties of thin films 856
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- Advanced Data Storage Technologies 305
- Top scholars
- Boris Luk’yanchukTow Chong ChongArseniy I. KuznetsovMinghui HongAndrey E. MiroshnichenkoS. N. PiramanayagamYuri S. KivsharYuan Hsing Fu
- Journals
- IEEE Transactions on Magnetics (448 papers)Journal of Applied Physics (323 papers)Applied Physics Letters (187 papers)Journal of Magnetism and Magnetic Materials (100 papers)Japanese Journal of Applied Physics (92 papers)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Data Storage Institute
2.8k papers receiving 67.6k citations
Peers
Comparison fields: 5 of 177
- Electronic, Optical and Magnetic Materials 15.3k
- Atomic and Molecular Physics, and Optics 17.6k
- Biomedical Engineering 12.2k
- Materials Chemistry 12k
- Computational Mechanics 3.8k
Countries citing scholars working at Data Storage Institute
This map shows the geographic impact of research produced by authors working at Data Storage Institute. 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 papers produced at Data Storage Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Data Storage Institute more than expected).
Fields of papers published by authors at Data Storage Institute
This network shows the impact of papers affiliated with Data Storage Institute at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Data Storage Institute at the time of their publication.
About Data Storage Institute
In recent decades, authors affiliated with Data Storage Institute have published 2.9k papers, which have received a total of 67.7k indexed citations . Scholars at this organization have produced 1.1k papers in Atomic and Molecular Physics, and Optics, 389 papers in Computer Networks and Communications, 241 papers in Electronic, Optical and Magnetic Materials, 344 papers in Control and Systems Engineering and 256 papers in Computational Mechanics on the topics of Magnetic properties of thin films (856 papers), Advanced Data Storage Technologies (305 papers), Tribology and Lubrication Engineering (182 papers), Laser Material Processing Techniques (177 papers), Phase-change materials and chalcogenides (167 papers), Control Systems in Engineering (127 papers), Magnetic Bearings and Levitation Dynamics (109 papers) and Plasmonic and Surface Plasmon Research (106 papers). Their work is cited by papers focused on Electronic, Optical and Magnetic Materials (15.3k citations), Atomic and Molecular Physics, and Optics (17.6k citations), Biomedical Engineering (12.2k citations), Materials Chemistry (12k citations) and Computational Mechanics (3.8k citations). Authors at Data Storage Institute collaborate with scholars in Singapore, United States and China and have published in prestigious journals including IEEE Transactions on Magnetics, Journal of Applied Physics, Applied Physics Letters, Journal of Magnetism and Magnetic Materials and Japanese Journal of Applied Physics. Some of Data Storage Institute's most productive authors include Boris Luk’yanchuk, Tow Chong Chong, Arseniy I. Kuznetsov, Minghui Hong, Andrey E. Miroshnichenko, S. N. Piramanayagam, Yuri S. Kivshar, Yuan Hsing Fu, Jingsheng Chen and Stefan Alexander Maier.
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.