Gregor Maier
Impact in
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- Caching and Content Delivery
- Network Security and Intrusion Detection
- Network Traffic and Congestion Control
- Peer-to-Peer Network Technologies
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 8
- Network Traffic and Congestion Control 3
- Caching and Content Delivery 2
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- Internet Traffic Analysis and Secure E-voting 11
- Co-authors
- Anja Feldmann (9 shared papers)Vern Paxson (6 shared papers)Fabian Schneider (5 shared papers)Mark Allman (1 shared paper)Robin Sommer (5 shared papers)Holger Dreger (2 shared papers)Bernhard Ager (2 shared papers)Steve Uhlig (2 shared papers)
- Journals
- ACM SIGCOMM Computer Communication Review (1 paper)Lecture notes in computer science (6 papers)Max Planck Digital Library (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Gregor Maier
14 papers receiving 689 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 632
- Signal Processing 110
- Hardware and Architecture 67
- Artificial Intelligence 310
- Information Systems 154
Countries citing papers authored by Gregor Maier
This map shows the geographic impact of Gregor Maier'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 Gregor Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Maier more than expected).
Fields of papers citing papers by Gregor Maier
This network shows the impact of papers produced by Gregor Maier. 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 Gregor Maier. The network helps show where Gregor Maier may publish in the future.
Co-authors
The 20 scholars most cited alongside Gregor Maier, 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 | 2009 | 306 | |
| 2 | 2010 | 118 | |
| 3 | 2008 | 81 | |
| 4 | 2008 | 49 | |
| 5 | 2011 | 48 | |
| 6 | 2012 | 33 | |
| 7 | On the effects of registrar-level intervention | 2011 | 29 |
| 8 | 2012 | 22 | |
| 9 | 2011 | 20 | |
| 10 | 2012 | 12 | |
| 11 | 2011 | 12 | |
| 12 | 2011 | 9 | |
| 13 | 2007 | 1 | |
| 14 | 2008 | 1 |
About Gregor Maier
Gregor Maier is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 14 papers that have together received 741 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (11 papers), Network Security and Intrusion Detection (8 papers), Network Traffic and Congestion Control (3 papers), Advanced Malware Detection Techniques (3 papers), Spam and Phishing Detection (2 papers), Network Packet Processing and Optimization (2 papers), Caching and Content Delivery (2 papers) and IPv6, Mobility, Handover, Networks, Security (2 papers). The work is most often cited by research in Computer Networks and Communications (632 citations), Signal Processing (110 citations), Hardware and Architecture (67 citations), Artificial Intelligence (310 citations) and Information Systems (154 citations). Gregor Maier has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Anja Feldmann, Vern Paxson, Fabian Schneider, Mark Allman, Robin Sommer, Holger Dreger, Bernhard Ager, Steve Uhlig, Christian Kreibich and Nadi Sarrar. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Lecture notes in computer science and Max Planck Digital Library.
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.