Matthias Baumgarten

28 papers receiving 211 citations

Peers

Matthias Baumgarten
Comparison fields: 5 of 56
  • Artificial Intelligence 93
  • Information Systems 78
  • Computer Networks and Communications 76
  • Computer Vision and Pattern Recognition 67
  • Signal Processing 33
Replace Rosario Culmone with:
Rosario Culmone Italy
Dhinaharan Nagamalai United States
Renas Rajab Asaad Iraq
Richard Koman
C. Nalini India
Christoph Neumann France
Ta Nguyen Binh Duong Singapore
Jean-Luc Meunier France
Stijn Mostinckx Belgium
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Citations per year

Countries citing papers authored by Matthias Baumgarten

Since Specialization
Citations

This map shows the geographic impact of Matthias Baumgarten'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 Matthias Baumgarten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Baumgarten more than expected).

Fields of papers citing papers by Matthias Baumgarten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias Baumgarten. 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 Matthias Baumgarten. The network helps show where Matthias Baumgarten may publish in the future.

Co-authorship network of co-authors of Matthias Baumgarten

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Baumgarten. A scholar is included among the top collaborators of Matthias Baumgarten based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Baumgarten. Matthias Baumgarten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2
Componentware for Autonomic Supervision Services: The CASCADAS Approach
2
3 0
4 39
5 8
6 1
7 21
8
Investigating the Effects of Core Packet Behaviour between Sensors in Autonomic Networks
1
9
Utilizing Concept Drift for Pervasive Supervision
1
10
Autonomic and cognitive possibilities for information or neural-like systems using dynamic links
2
11 0
12 1
13 2
14
Towards Self-Organizing Knowledge Networks for Smart World Infrastructures
12
15 6
16
Tree Growth Based Episode Mining without Candidate Generation.
2
17
Tree-Growth based Sequential and Associative Pattern Discovery.
0
18
Eigenvector-Based Feature Extraction for Classification
24
19
Gaining insights into web customers using Web Intelligence
1
20
Navigation Pattern Discovery from Internet Data
45

About Matthias Baumgarten

Matthias Baumgarten is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 33 papers that have together received 231 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Modular Robots and Swarm Intelligence (5 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Information Systems (78 citations), Computer Networks and Communications (76 citations) and Computer Vision and Pattern Recognition (67 citations). Matthias Baumgarten has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Maurice Mulvenna, Chris Nugent, John G. Hughes, Shumei Zhang, Huiru Zheng, Paul McCullagh, Niall Rooney, Seppo Puuronen, Alexey Tsymbal and Kevin Curran. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Computers & Electrical Engineering and International Journal of Machine Learning and Cybernetics.

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.

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