HJ Sips
Impact in
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- Peer-to-Peer Network Technologies
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Advanced Data Storage Technologies
- Information Systems top 10%
Papers in
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- Peer-to-Peer Network Technologies 8
- Caching and Content Delivery 6
- Interconnection Networks and Systems 2
- Distributed and Parallel Computing Systems 2
- Network Traffic and Congestion Control 2
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Dick Epema (6 shared papers)Johan Pouwelse (5 shared papers)M. Meulpolder (5 shared papers)Alexandru Iosup (1 shared paper)P. Garbacki (1 shared paper)A. Bakker (1 shared paper)James Yang (1 shared paper)Marcel Reinders (1 shared paper)
- Journals
- Blood (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)Concurrency and Computation Practice and Experience (1 paper)Data Archiving and Networked Services (DANS) (2 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
- Partner nations
- NetherlandsJapan
In The Last Decade
HJ Sips
12 papers receiving 421 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 360
- Information Systems 72
- Computer Vision and Pattern Recognition 61
- Signal Processing 31
- Artificial Intelligence 73
Countries citing papers authored by HJ Sips
This map shows the geographic impact of HJ Sips'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 HJ Sips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HJ Sips more than expected).
Fields of papers citing papers by HJ Sips
This network shows the impact of papers produced by HJ Sips. 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 HJ Sips. The network helps show where HJ Sips may publish in the future.
Co-authors
The 14 scholars most cited alongside HJ Sips, 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 | 2007 | 217 | |
| 2 | 2008 | 78 | |
| 3 | Give-to-Get : free-riding resilient video-on-demand in P2P systems | 2008 | 51 |
| 4 | 1984 | 39 | |
| 5 | 1984 | 26 | |
| 6 | 2009 | 18 | |
| 7 | 2006 | 14 | |
| 8 | A measurement of NAT & firewall characteristics in peer-to-peer systems | 2009 | 5 |
| 9 | A unified compiler framework for work and data placement | 2002 | 4 |
| 10 | 1997 | 4 | |
| 11 | An Implementation Framework for HPF Distributed Arrays on Message Passing Computers | 1996 | 2 |
| 12 | BarterCast : Fully Distributed Sharing-Ratio Enforcement in BitTorrent | 2008 | 2 |
| 13 | Fully distributed freeriding prevention in the Tribler peer-to-peer network | 2009 | 1 |
About HJ Sips
HJ Sips is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Sociology and Political Science and Immunology, having authored 13 papers that have together received 461 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (8 papers), Caching and Content Delivery (6 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Parallel Computing and Optimization Techniques (3 papers), Interconnection Networks and Systems (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Distributed and Parallel Computing Systems (2 papers) and Network Traffic and Congestion Control (2 papers). The work is most often cited by research in Computer Networks and Communications (360 citations), Information Systems (72 citations), Computer Vision and Pattern Recognition (61 citations), Signal Processing (31 citations) and Artificial Intelligence (73 citations). HJ Sips has collaborated with scholars based in Netherlands and Japan. Frequent co-authors include Dick Epema, Johan Pouwelse, M. Meulpolder, Alexandru Iosup, P. Garbacki, A. Bakker, James Yang, Marcel Reinders, Maarten van Steen and Jiangyu Wang. Their work appears in journals such as Blood, IEEE Transactions on Parallel and Distributed Systems, Concurrency and Computation Practice and Experience, Data Archiving and Networked Services (DANS) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.