Pasi Fränti

7.8k total citations · 2 hit papers
228 papers, 4.7k citations indexed

About

Pasi Fränti is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pasi Fränti has authored 228 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Artificial Intelligence, 117 papers in Computer Vision and Pattern Recognition and 89 papers in Signal Processing. Recurrent topics in Pasi Fränti's work include Advanced Data Compression Techniques (65 papers), Data Management and Algorithms (52 papers) and Algorithms and Data Compression (49 papers). Pasi Fränti is often cited by papers focused on Advanced Data Compression Techniques (65 papers), Data Management and Algorithms (52 papers) and Algorithms and Data Compression (49 papers). Pasi Fränti collaborates with scholars based in Finland, China and Singapore. Pasi Fränti's co-authors include Sami Sieranoja, Ville Hautamäki, Olli Virmajoki, Radu Mariescu-Istodor, Ismo Kärkkäinen, Qinpei Zhao, Mohammad Rezaei, Susanto Rahardja, Jiawei Yang and Alexander Kolesnikov and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Pasi Fränti

216 papers receiving 4.3k citations

Hit Papers

K-means properties on six clustering benchmark datasets 2018 2026 2020 2023 2018 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. K-means properties on six clustering benchmark datasets
    2018 319 citations Pasi Fränti, Sami Sieranoja profile →
  2. How much can k-means be improved by using better initialization and repeats?
    2019 302 citations Pasi Fränti, Sami Sieranoja profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pasi Fränti Finland 34 2.7k 1.7k 1.4k 469 441 228 4.7k
Peer Kröger Germany 25 2.2k 0.8× 959 0.6× 1.1k 0.8× 620 1.3× 336 0.8× 99 3.6k
Le Song United States 31 2.8k 1.0× 2.2k 1.3× 985 0.7× 373 0.8× 322 0.7× 95 5.5k
Mihael Ankerst Germany 12 2.2k 0.8× 1.3k 0.8× 1.5k 1.0× 745 1.6× 393 0.9× 15 4.2k
Chao Zhang China 39 2.0k 0.7× 1.4k 0.8× 1.1k 0.7× 1.0k 2.2× 386 0.9× 262 5.7k
Rui Xu China 17 2.5k 0.9× 2.0k 1.2× 699 0.5× 650 1.4× 381 0.9× 77 5.4k
Richard J. Hathaway United States 30 2.8k 1.0× 1.4k 0.8× 860 0.6× 438 0.9× 226 0.5× 61 4.2k
Jing Gao United States 37 4.0k 1.5× 1.1k 0.6× 788 0.6× 1.2k 2.5× 378 0.9× 164 6.4k
Carlo Sansone Italy 35 1.8k 0.7× 2.5k 1.5× 1.5k 1.0× 690 1.5× 220 0.5× 174 5.2k
Fu-Lai Chung Hong Kong 43 3.6k 1.3× 2.1k 1.2× 901 0.6× 588 1.3× 302 0.7× 248 6.1k
Francis Bach France 34 3.3k 1.2× 3.0k 1.8× 990 0.7× 295 0.6× 297 0.7× 99 7.0k

Countries citing papers authored by Pasi Fränti

Since Specialization
Citations

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

Fields of papers citing papers by Pasi Fränti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasi Fränti

This figure shows the co-authorship network connecting the top 25 collaborators of Pasi Fränti. A scholar is included among the top collaborators of Pasi Fränti 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 Pasi Fränti. Pasi Fränti 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
1.
Sieranoja, Sami & Pasi Fränti. (2025). Fast agglomerative clustering using approximate traveling salesman solutions. Journal Of Big Data. 12(1).
2.
Fränti, Pasi, et al.. (2024). NoSimple: Data Bias Evaluation Metrics. 1–5. 1 indexed citations
3.
Fränti, Pasi & Sami Sieranoja. (2024). Clustering accuracy. 4(1). 24–44. 8 indexed citations
4.
Nigro, Libero & Pasi Fränti. (2023). Two Medoid-Based Algorithms for Clustering Sets. Algorithms. 16(7). 349–349. 3 indexed citations
5.
6.
Fränti, Pasi, et al.. (2023). Can we optimize locations of hospitals by minimizing the number of patients at risk?. BMC Health Services Research. 23(1). 415–415. 4 indexed citations
7.
Wang, Shuo & Pasi Fränti. (2022). Power distance in cross-cultural environment: Observations from two Chinese companies in Europe. SHILAP Revista de lepidopterología. 2(3). 173–173. 1 indexed citations
8.
Mariescu-Istodor, Radu, et al.. (2021). WebRank: Language-Independent Extraction of Keywords from Webpages. 184–192. 1 indexed citations
9.
Fränti, Pasi, et al.. (2014). Structural, Syntactic, and Statistical Pettern Recognition: S+SSPR 2014. Lecture notes in computer science. 8621. 1 indexed citations
10.
Mariescu-Istodor, Radu, et al.. (2012). System for real time storage, retrieval and visualization of GPS tracks. 1–5. 2 indexed citations
11.
Chen, Minjie, Mantao Xu, & Pasi Fränti. (2012). Compression of GPS Trajectories. 62–71. 23 indexed citations
12.
Fränti, Pasi, et al.. (2011). Context aware recommendation of location-based data. 1–6. 9 indexed citations
13.
Saeidi, Rahim, Pejman Mowlaee, Tomi Kinnunen, et al.. (2010). Signal-to-Signal Ratio Independent Speaker Identification for Co-channel Speech Signals. VBN Forskningsportal (Aalborg Universitet). 4565–4568. 21 indexed citations
14.
Hautamäki, Ville, Ismo Kärkkäinen, & Pasi Fränti. (2004). Outlier detection using k-nearest neighbour graph. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 430–433 Vol.3. 227 indexed citations
15.
Fränti, Pasi & Olli Virmajoki. (2003). Genetic Algorithm Using Iterative Shrinking For Solving Clustering Problems. WIT transactions on information and communication technologies. 29. 2 indexed citations
16.
Fränti, Pasi, et al.. (2002). Evaluation of Compression Methods for Digital Map Images. 2 indexed citations
17.
Fränti, Pasi, et al.. (2000). Content-based retrieval of line-drawing images using angular information of hough transform. Biochimica et Biophysica Acta. 1660(1-2). 138–43. 1 indexed citations
18.
Fränti, Pasi, et al.. (2000). Lossless compression of large binary images in digital spatial libraries. Computers & Graphics. 24(1). 91–98. 14 indexed citations
19.
Fränti, Pasi, et al.. (1999). Vectorising and Feature-Based Filtering for Line-Drawing Image Compression. Pattern Analysis and Applications. 2(4). 285–291. 3 indexed citations
20.
Kaukoranta, Timo, Pasi Fränti, & Olli Nevalainen. (1998). Iterative Split-and-Merge Algorithm for VQ Codebook Generation. 6 indexed citations

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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