Markus Breugst
Impact in
-
- Mobile Agent-Based Network Management
- Peer-to-Peer Network Technologies
- Network Security and Intrusion Detection
- Distributed systems and fault tolerance
- Optimization and Search Problems
- Network Traffic and Congestion Control
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
Papers in
-
- Mobile Agent-Based Network Management 12
- Peer-to-Peer Network Technologies 8
- Network Security and Intrusion Detection 1
- Network Traffic and Congestion Control 1
- Distributed and Parallel Computing Systems 1
-
- Service-Oriented Architecture and Web Services 8
- Co-authors
- Thomas Magedanz (5 shared papers)Ingo Busse (4 shared papers)Stefan Covaci (4 shared papers)Danny B. Lange (2 shared papers)Dejan Milojičić (2 shared papers)J. W. C. White (2 shared papers)Kouichi Ono (2 shared papers)John R. Campbell (2 shared papers)
In The Last Decade
Markus Breugst
12 papers receiving 363 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 367
- Information Systems 175
- Artificial Intelligence 148
- Management Information Systems 15
- Human-Computer Interaction 6
Countries citing papers authored by Markus Breugst
This map shows the geographic impact of Markus Breugst'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 Markus Breugst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Breugst more than expected).
Fields of papers citing papers by Markus Breugst
This network shows the impact of papers produced by Markus Breugst. 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 Markus Breugst. The network helps show where Markus Breugst may publish in the future.
Co-authors
The 11 scholars most cited alongside Markus Breugst, 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 | 1998 | 141 | |
| 2 | 1998 | 107 | |
| 3 | 1998 | 71 | |
| 4 | 1998 | 51 | |
| 5 | 1998 | 11 | |
| 6 | 1999 | 8 | |
| 7 | 2002 | 6 | |
| 8 | 1999 | 5 | |
| 9 | 1999 | 4 | |
| 10 | 1999 | 3 | |
| 11 | Integrating Mobile Agent Technology and COBRA Middleware | 1998 | 3 |
| 12 | 1999 | 3 |
About Markus Breugst
Markus Breugst is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 413 indexed citations. Recurring topics across this work include Mobile Agent-Based Network Management (12 papers), Peer-to-Peer Network Technologies (8 papers), Service-Oriented Architecture and Web Services (8 papers), Multi-Agent Systems and Negotiation (5 papers), Network Security and Intrusion Detection (1 paper), Network Traffic and Congestion Control (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (367 citations), Information Systems (175 citations), Artificial Intelligence (148 citations), Management Information Systems (15 citations) and Human-Computer Interaction (6 citations). Markus Breugst has collaborated with scholars based in Germany, Italy and Japan. Frequent co-authors include Thomas Magedanz, Ingo Busse, Stefan Covaci, Danny B. Lange, Dejan Milojičić, J. W. C. White, Kouichi Ono, John R. Campbell, Mitsuru Oshima and L. Hagen. Their work appears in journals such as Computer Networks, Personal and Ubiquitous Computing, IEEE Network, Lecture notes in computer science and Journal of Network and Systems Management.
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.