Matthias Kovatsch

1.3k citations
28 papers · 865 indexed · h-index 13
Topics
IoT and Edge/Fog Computing (10 papers)Context-Aware Activity Recognition Systems (10 papers)Energy Efficient Wireless Sensor Networks (7 papers)
Journals
Applied SciencesIEEE Transactions on Automation Science and EngineeringArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)

In The Last Decade

Matthias Kovatsch

28 papers receiving 816 citations

Peers

Matthias Kovatsch
Comparison fields: 5 of 70
  • Computer Networks and Communications 676
  • Computer Vision and Pattern Recognition 264
  • Electrical and Electronic Engineering 245
  • Information Systems 197
  • Artificial Intelligence 65
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Shahid Khan Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Matthias Kovatsch

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Kovatsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Kovatsch

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kovatsch. A scholar is included among the top collaborators of Matthias Kovatsch 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 Kovatsch. Matthias Kovatsch 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 9
2 32
3 8
4
Requirements for Reliable Wireless Industrial Services
4
5
IoT Edge Challenges and Functions
7
6 9
7 7
8 4
9
RESTful Design for Internet of Things Systems
10
10 11
11 53
12 22
13 28
14 22
15 68
16 34
17 109
18 162
19 59
20 1

About Matthias Kovatsch

Matthias Kovatsch is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 865 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Context-Aware Activity Recognition Systems (10 papers) and Energy Efficient Wireless Sensor Networks (7 papers). The work is most often cited by research in Computer Networks and Communications (676 citations), Computer Vision and Pattern Recognition (264 citations) and Information Systems (197 citations). Matthias Kovatsch has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Simon Duquennoy, Simon Mayer, Adam Dunkels, Benedikt Ostermaier, Zach Shelby, Dominique Guinard, Markus Weiß, Klaus Hartke, Friedemann Mattern and Ruben Verborgh. Their work appears in journals such as Applied Sciences, IEEE Transactions on Automation Science and Engineering and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).

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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