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
- Opportunistic and Delay-Tolerant Networks 2
- Software-Defined Networks and 5G 2
- Mobile Ad Hoc Networks 2
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- Real-Time Systems Scheduling 2
- Co-authors
- Jean‐Pierre Hubaux (1 shared paper)J.-Y. Le Boudec (1 shared paper)Martin Vetterli (1 shared paper)Urs Hengartner (1 shared paper)Peter Steenkiste (2 shared papers)Peter A. Dinda (1 shared paper)Roger P. Karrer (1 shared paper)Nancy Houston Miller (1 shared paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
T. Gross
11 papers receiving 532 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 561
- Hardware and Architecture 50
- Electrical and Electronic Engineering 170
- Information Systems 65
- Computer Vision and Pattern Recognition 51
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 15 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 | 243 | |
| 2 | 1998 | 125 | |
| 3 | 2002 | 92 | |
| 4 | 2002 | 52 | |
| 5 | 1999 | 37 | |
| 6 | 2002 | 20 | |
| 7 | 1999 | 18 | |
| 8 | 2002 | 8 | |
| 9 | 2003 | 2 | |
| 10 | 2006 | 1 | |
| 11 | Vertical Protocol Composition (Extended Version) | 2011 | 1 |
About T. Gross
T. Gross is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 11 papers that have together received 599 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (5 papers), Peer-to-Peer Network Technologies (3 papers), Real-Time Systems Scheduling (2 papers), Distributed and Parallel Computing Systems (2 papers), Image and Video Quality Assessment (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Software-Defined Networks and 5G (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (561 citations), Hardware and Architecture (50 citations), Electrical and Electronic Engineering (170 citations), Information Systems (65 citations) and Computer Vision and Pattern Recognition (51 citations). T. Gross has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Jean‐Pierre Hubaux, J.-Y. Le Boudec, Martin Vetterli, Urs Hengartner, Urs Hengartner, Peter Steenkiste, Peter A. Dinda, Roger P. Karrer, Nancy Houston Miller and Bruce B. Lowekamp. 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.