P. Garbacki
Impact in
-
- Peer-to-Peer Network Technologies
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Advanced Data Storage Technologies
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
-
- Caching and Content Delivery 5
- Peer-to-Peer Network Technologies 5
- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 2
- Opportunistic and Delay-Tolerant Networks 2
- Optimization and Search Problems 2
- Co-authors
- Johan Pouwelse (3 shared papers)Dick Epema (3 shared papers)Maarten van Steen (3 shared papers)Alexandru Iosup (2 shared papers)HJ Sips (1 shared paper)Marcel Reinders (1 shared paper)Jiangyu Wang (1 shared paper)A. Bakker (1 shared paper)
- Journals
- Concurrency and Computation Practice and Experience (1 paper)Data Archiving and Networked Services (DANS) (1 paper)Research Repository (Delft University of Technology) (1 paper)TU/e Research Portal (1 paper)
- Partner nations
- NetherlandsUnited States
In The Last Decade
P. Garbacki
7 papers receiving 294 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 294
- Information Systems 69
- Statistical and Nonlinear Physics 33
- Artificial Intelligence 57
- Signal Processing 18
Countries citing papers authored by P. Garbacki
This map shows the geographic impact of P. Garbacki'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 P. Garbacki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Garbacki more than expected).
Fields of papers citing papers by P. Garbacki
This network shows the impact of papers produced by P. Garbacki. 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 P. Garbacki. The network helps show where P. Garbacki may publish in the future.
Co-authors
The 11 scholars most cited alongside P. Garbacki, 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 | A Measurement Study of the BitTorrent Peer-to-Peer File-Sharing System | 2004 | 47 |
| 3 | 2006 | 41 | |
| 4 | 2005 | 12 | |
| 5 | 2006 | 5 | |
| 6 | An introduction to the BitTorrent Peer-to-Peer File-Sharing System | 2004 | 2 |
| 7 | 2007 | 1 |
About P. Garbacki
P. Garbacki is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Industrial and Manufacturing Engineering and Infectious Diseases, having authored 7 papers that have together received 325 indexed citations. Recurring topics across this work include Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (5 papers), Advanced Data Storage Technologies (2 papers), Distributed and Parallel Computing Systems (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Optimization and Search Problems (2 papers), Scheduling and Optimization Algorithms (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (294 citations), Information Systems (69 citations), Statistical and Nonlinear Physics (33 citations), Artificial Intelligence (57 citations) and Signal Processing (18 citations). P. Garbacki has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Johan Pouwelse, Dick Epema, Maarten van Steen, Alexandru Iosup, HJ Sips, Marcel Reinders, Jiangyu Wang, A. Bakker, James Yang and Vijay K. Naik. Their work appears in journals such as Concurrency and Computation Practice and Experience, Data Archiving and Networked Services (DANS), Research Repository (Delft University of Technology) and TU/e Research Portal.
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.