Sami Sieranoja

1.2k citations
13 papers · 748 indexed · 2 hit papers · h-index 8
Topics
Advanced Clustering Algorithms Research (7 papers)Complex Network Analysis Techniques (4 papers)Data Management and Algorithms (3 papers)
Partner nations
FinlandGermany

In The Last Decade

Sami Sieranoja

10 papers receiving 722 citations

Hit Papers

K-means properties on six clustering benchmark datasets201820262020202320182019100200300

Peers

Sami Sieranoja
Comparison fields: 5 of 114
  • Artificial Intelligence 483
  • Computer Vision and Pattern Recognition 202
  • Signal Processing 149
  • Statistical and Nonlinear Physics 112
  • Information Systems 102
Replace Younès Bennani with:
Younès Bennani France
Jinlong Huang China
Dongdong Cheng China
Mingjing Du China
Xingwang Zhao China
Yonglong Luo China
Shengfeng Tian China
Grigorios Tzortzis Greece
Malay K. Pakhira India
Sami Sieranoja relative to Younès Bennani France Younès Bennani's profile →
Citations per field
00.5×4.3×
Younès Bennani · 1×
Citations per year

Countries citing papers authored by Sami Sieranoja

Since Specialization
Citations

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

Fields of papers citing papers by Sami Sieranoja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sami Sieranoja

This figure shows the co-authorship network connecting the top 25 collaborators of Sami Sieranoja. A scholar is included among the top collaborators of Sami Sieranoja 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 Sami Sieranoja. Sami Sieranoja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 8
6 3
7 16
8 25
9 60
10
How much can k-means be improved by using better initialization and repeats?breakdown →
302
11 7
12
K-means properties on six clustering benchmark datasetsbreakdown →
319
13 7

About Sami Sieranoja

Sami Sieranoja is a scholar working on Signal Processing, Statistical and Nonlinear Physics and Computer Graphics and Computer-Aided Design, having authored 13 papers that have together received 748 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (7 papers), Complex Network Analysis Techniques (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (483 citations), Signal Processing (149 citations) and Computer Vision and Pattern Recognition (202 citations). Sami Sieranoja has collaborated with scholars based in Finland and Germany. Frequent co-authors include Pasi Fränti, Katja Wikström and Tiina Laatikainen. Their work appears in journals such as Scientific Reports, Pattern Recognition and Pattern Recognition Letters.

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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