Matti Siekkinen

70 papers receiving 1.7k citations

Hit Papers

How low energy is bluetooth low energy? Comparative measu...2012202620162021201250100150200250

Peers

Matti Siekkinen
Comparison fields: 5 of 86
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 854
  • Computer Vision and Pattern Recognition 594
  • Automotive Engineering 159
  • Information Systems 157
Replace Hirozumi Yamaguchi with:
Hirozumi Yamaguchi Japan
Jian Ma China
Seung‐Woo Seo South Korea
Vijay Srinivasan United States
Radu Stoleru United States
Hrishikesh Venkataraman India
You‐Chiun Wang Taiwan
Tamim Sookoor United States
Stephen Dawson-Haggerty United States
Liangzhi Li Japan
Matti Siekkinen relative to Hirozumi Yamaguchi Japan Hirozumi Yamaguchi's profile →
Citations per field
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Hirozumi Yamaguchi · 1×
Citations per year

Countries citing papers authored by Matti Siekkinen

Since Specialization
Citations

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

Fields of papers citing papers by Matti Siekkinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matti Siekkinen

This figure shows the co-authorship network connecting the top 25 collaborators of Matti Siekkinen. A scholar is included among the top collaborators of Matti Siekkinen 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 Matti Siekkinen. Matti Siekkinen 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 87
3 44
4 8
5 29
6 88
7 22
8 42
9 20
10 15
11 37
12 53
13 28
14 38
15 11
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How low energy is bluetooth low energy? Comparative measurements with ZigBee/802.15.4breakdown →
271
17 2
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A Practical Evaluation of Load Shedding in Data Stream Management Systems for Network Monitoring
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19 5
20 8

About Matti Siekkinen

Matti Siekkinen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (27 papers), Caching and Content Delivery (26 papers) and Green IT and Sustainability (25 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computer Vision and Pattern Recognition (594 citations) and Electrical and Electronic Engineering (854 citations). Matti Siekkinen has collaborated with scholars based in Finland, Norway and France. Frequent co-authors include Jukka K. Nurminen, Antti Ylä-Jääski, Mohammad A. Hoque, Yu Xiao, Markus Hiienkari, Johanna Nieminen, Abbas Mehrabi, Sasu Tarkoma, Eemil Lagerspetz and Petri Savolainen. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access 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.

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