Ivan Osipkov
Impact in
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- Network Security and Intrusion Detection
- Caching and Content Delivery
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Peer-to-Peer Network Technologies 3
- Network Security and Intrusion Detection 3
- Caching and Content Delivery 2
- Distributed systems and fault tolerance 2
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- Cryptography and Data Security 2
- Cryptographic Implementations and Security 2
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Rina Panigrahy (2 shared papers)Fang Yu (2 shared papers)Geoff Hulten (2 shared papers)Yinglian Xie (2 shared papers)Kannan Achan (2 shared papers)Nicholas Hopper (4 shared papers)Yongdae Kim (3 shared papers)Jung Hee Cheon (2 shared papers)
- Journals
- ACM SIGCOMM Computer Communication Review (1 paper)Software Practice and Experience (1 paper)ACM Transactions on Information and System Security (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Ivan Osipkov
8 papers receiving 409 citations
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 305
- Signal Processing 143
- Information Systems 287
- Artificial Intelligence 284
- Statistical and Nonlinear Physics 25
Countries citing papers authored by Ivan Osipkov
This map shows the geographic impact of Ivan Osipkov'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 Osipkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Osipkov more than expected).
Fields of papers citing papers by Ivan Osipkov
This network shows the impact of papers produced by Ivan Osipkov. 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 Osipkov. The network helps show where Ivan Osipkov may publish in the future.
Co-authors
The 15 scholars most cited alongside Ivan Osipkov, 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 | 2008 | 244 | |
| 2 | 2008 | 99 | |
| 3 | 2008 | 34 | |
| 4 | 2007 | 23 | |
| 5 | 2006 | 16 | |
| 6 | 2006 | 8 | |
| 7 | 2004 | 5 | |
| 8 | Authenticated Key-Insulated Public Key Encryption and Timed-Release Cryptography | 2006 | 3 |
About Ivan Osipkov
Ivan Osipkov is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computational Theory and Mathematics and Signal Processing, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Network Security and Intrusion Detection (3 papers), Complexity and Algorithms in Graphs (2 papers), Cryptography and Data Security (2 papers), Caching and Content Delivery (2 papers), Distributed systems and fault tolerance (2 papers), Cryptographic Implementations and Security (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Networks and Communications (305 citations), Signal Processing (143 citations), Information Systems (287 citations), Artificial Intelligence (284 citations) and Statistical and Nonlinear Physics (25 citations). Ivan Osipkov has collaborated with scholars based in United States and South Korea. Frequent co-authors include Rina Panigrahy, Fang Yu, Geoff Hulten, Yinglian Xie, Kannan Achan, Nicholas Hopper, Yongdae Kim, Jung Hee Cheon, Eugene Y. Vasserman and Peng Wang. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Software Practice and Experience and ACM Transactions on Information and System Security.
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.