T. Gross
Impact in
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- Mobile Ad Hoc Networks
- Network Traffic and Congestion Control
- Opportunistic and Delay-Tolerant Networks
- Peer-to-Peer Network Technologies
- Cooperative Communication and Network Coding
- Distributed and Parallel Computing Systems
- Wireless Networks and Protocols
- Caching and Content Delivery
- Hardware and Architecture top 10%
Papers in
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- Network Traffic and Congestion Control 5
- Peer-to-Peer Network Technologies 3
- Distributed and Parallel Computing Systems 2
- Software-Defined Networks and 5G 2
- Opportunistic and Delay-Tolerant Networks 2
- Mobile Ad Hoc Networks 2
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- Image and Video Quality Assessment 2
- Co-authors
- Martin Vetterli (1 shared paper)J.-Y. Le Boudec (1 shared paper)Jean‐Pierre Hubaux (1 shared paper)Urs Hengartner (1 shared paper)Peter Steenkiste (2 shared papers)Bruce Lowekamp (1 shared paper)Peter A. Dinda (1 shared paper)Roger P. Karrer (1 shared paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
T. Gross
11 papers receiving 462 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 504
- Hardware and Architecture 38
- Electrical and Electronic Engineering 159
- Information Systems 50
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by T. Gross
This map shows the geographic impact of T. Gross'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 T. Gross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Gross more than expected).
Fields of papers citing papers by T. Gross
This network shows the impact of papers produced by T. Gross. 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 T. Gross. The network helps show where T. Gross may publish in the future.
Co-authors
The 14 scholars most cited alongside T. Gross, 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 | 2001 | 219 | |
| 2 | 1998 | 106 | |
| 3 | 2002 | 93 | |
| 4 | 2002 | 42 | |
| 5 | 1999 | 37 | |
| 6 | 2002 | 16 | |
| 7 | 1999 | 13 | |
| 8 | 2002 | 8 | |
| 9 | 2003 | 2 | |
| 10 | Vertical Protocol Composition (Extended Version) | 2011 | 1 |
| 11 | 2006 | 1 |
About T. Gross
T. Gross is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture and Electrical and Electronic Engineering, having authored 11 papers that have together received 538 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (5 papers), Peer-to-Peer Network Technologies (3 papers), Image and Video Quality Assessment (2 papers), Real-Time Systems Scheduling (2 papers), Distributed and Parallel Computing Systems (2 papers), Software-Defined Networks and 5G (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (504 citations), Hardware and Architecture (38 citations), Electrical and Electronic Engineering (159 citations), Information Systems (50 citations) and Computer Vision and Pattern Recognition (42 citations). T. Gross has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Martin Vetterli, J.-Y. Le Boudec, Jean‐Pierre Hubaux, Urs Hengartner, Urs Hengartner, Peter Steenkiste, Bruce Lowekamp, Peter A. Dinda, Roger P. Karrer and Nancy Houston Miller. Their work appears in journals such as IEEE Transactions on Software Engineering and IEEE Communications Magazine.
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.