Sofia Belikovetsky
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Additive Manufacturing and 3D Printing Technologies 4
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- Physical Unclonable Functions (PUFs) and Hardware Security 4
- Co-authors
- Mark Yampolskiy (4 shared papers)Yuval Elovici (4 shared papers)Anthony Skjellum (2 shared papers)Wayne E. King (1 shared paper)Adam J. Brown (1 shared paper)Yosef A. Solewicz (2 shared papers)Samuel B. Moore (1 shared paper)Tami Tamir (1 shared paper)
- Journals
- Additive manufacturing (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)Theoretical Computer Science (1 paper)IEEE Access (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)
- Partner nations
- United StatesIsraelSingapore
In The Last Decade
Sofia Belikovetsky
6 papers receiving 176 citations
Peers
Comparison fields: 5 of 33
- Hardware and Architecture 74
- Automotive Engineering 99
- Industrial and Manufacturing Engineering 69
- Mechanical Engineering 44
- Information Systems 25
Countries citing papers authored by Sofia Belikovetsky
This map shows the geographic impact of Sofia Belikovetsky'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 Sofia Belikovetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Belikovetsky more than expected).
Fields of papers citing papers by Sofia Belikovetsky
This network shows the impact of papers produced by Sofia Belikovetsky. 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 Sofia Belikovetsky. The network helps show where Sofia Belikovetsky may publish in the future.
Co-authors
The 12 scholars most cited alongside Sofia Belikovetsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 96 | |
| 2 | 2018 | 41 | |
| 3 | 2019 | 27 | |
| 4 | 2021 | 14 | |
| 5 | 2016 | 3 | |
| 6 | 2023 | 1 |
About Sofia Belikovetsky
Sofia Belikovetsky is a scholar working on Automotive Engineering, Hardware and Architecture, Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 6 papers that have together received 182 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Chaos-based Image/Signal Encryption (1 paper), Optimization and Search Problems (1 paper), Auction Theory and Applications (1 paper), Cryptographic Implementations and Security (1 paper), 3D IC and TSV technologies (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Hardware and Architecture (74 citations), Automotive Engineering (99 citations), Industrial and Manufacturing Engineering (69 citations), Mechanical Engineering (44 citations) and Information Systems (25 citations). Sofia Belikovetsky has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Mark Yampolskiy, Yuval Elovici, Anthony Skjellum, Wayne E. King, Adam J. Brown, Yosef A. Solewicz, Samuel B. Moore, Tami Tamir, Joshua Lubell and Paul Witherell. Their work appears in journals such as Additive manufacturing, IEEE Transactions on Information Forensics and Security, Theoretical Computer Science, IEEE Access and Proceedings on Privacy Enhancing Technologies.
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.