Pauli Kuosmanen

2.0k total citations
78 papers, 920 citations indexed

About

Pauli Kuosmanen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Pauli Kuosmanen has authored 78 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 28 papers in Signal Processing and 17 papers in Computational Mechanics. Recurrent topics in Pauli Kuosmanen's work include Image and Signal Denoising Methods (25 papers), Advanced Adaptive Filtering Techniques (15 papers) and Blind Source Separation Techniques (10 papers). Pauli Kuosmanen is often cited by papers focused on Image and Signal Denoising Methods (25 papers), Advanced Adaptive Filtering Techniques (15 papers) and Blind Source Separation Techniques (10 papers). Pauli Kuosmanen collaborates with scholars based in Finland, Romania and Ukraine. Pauli Kuosmanen's co-authors include Marius Tico, Jaakko Astola, Jukka Saarinen, Karen Egiazarian, Radu Ciprian Bilcu, Pauli Rämö, Eero Immonen, Sos С. Agaian, Heikki Huttunen and Corneliu Rusu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Electronics Letters.

In The Last Decade

Pauli Kuosmanen

69 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pauli Kuosmanen Finland 15 567 559 188 132 120 78 920
Alisher Kholmatov Türkiye 10 309 0.5× 644 1.2× 290 1.5× 10 0.1× 23 0.2× 25 816
Zhenquan Zhuang China 11 221 0.4× 245 0.4× 75 0.4× 11 0.1× 6 0.1× 41 549
S.Z. Li China 15 290 0.5× 1.3k 2.3× 24 0.1× 2 0.0× 124 1.0× 31 1.5k
F. Mintzer United States 15 319 0.6× 748 1.3× 74 0.4× 2 0.0× 148 1.2× 28 950
Jaeho Lee South Korea 12 170 0.3× 335 0.6× 28 0.1× 11 0.1× 7 0.1× 52 640
Olivier Déforges France 18 344 0.6× 821 1.5× 23 0.1× 5 0.0× 7 0.1× 106 1.1k
P.N. Heller United States 12 445 0.8× 715 1.3× 87 0.5× 99 0.8× 25 1.1k
Alan Mink United States 15 376 0.7× 355 0.6× 237 1.3× 28 0.2× 50 1.0k
Xiangui Kang China 23 391 0.7× 2.1k 3.7× 97 0.5× 12 0.1× 103 2.4k
Bede Liu United States 13 621 1.1× 981 1.8× 32 0.2× 207 1.7× 22 1.2k

Countries citing papers authored by Pauli Kuosmanen

Since Specialization
Citations

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

Fields of papers citing papers by Pauli Kuosmanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauli Kuosmanen

This figure shows the co-authorship network connecting the top 25 collaborators of Pauli Kuosmanen. A scholar is included among the top collaborators of Pauli Kuosmanen 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 Pauli Kuosmanen. Pauli Kuosmanen 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.
Väätäjä, Heli, Markku Juntti, & Pauli Kuosmanen. (2015). Performance Of Multiuser Detection In Td-Cdma Uplink. INFM-OAR (INFN Catania). 1–4.
2.
Kuosmanen, Pauli, et al.. (2003). 1-D non-minimum phase retrieval by gain differences. 2. 1001–1004. 1 indexed citations
3.
Bilcu, Radu Ciprian, Pauli Kuosmanen, & Karen Egiazarian. (2003). Tracking time-varying channels with adaptive step-size transform domain LMS algorithm. 104–109. 1 indexed citations
4.
Rusu, Corneliu & Pauli Kuosmanen. (2003). Logarithmic sampling of gain and phase approximation. 6. 41–44.
5.
Rusu, Corneliu & Pauli Kuosmanen. (2003). Phase approximation by logarithmic sampling of gain. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 39(2). 93–101. 5 indexed citations
6.
Tico, Marius & Pauli Kuosmanen. (2003). Fingerprint matching using an orientation-based minutia descriptor. IEEE Transactions on Pattern Analysis and Machine Intelligence. 25(8). 1009–1014. 241 indexed citations
7.
Tico, Marius, Eero Immonen, Pauli Rämö, Pauli Kuosmanen, & Jukka Saarinen. (2002). Fingerprint recognition using wavelet features. 2. 21–24. 79 indexed citations
8.
Dhaou, Imed Ben, David Akopian, Pauli Kuosmanen, & Jaakko Astola. (2002). Fault detection in stack filter circuits based on sample selection probabilities. 1. 765–768. 2 indexed citations
9.
Bilcu, Radu Ciprian, Pauli Kuosmanen, & Corneliu Rusu. (2000). Improving performances of complementary pair LMS algorithm. European Signal Processing Conference. 1–4. 2 indexed citations
10.
Kuosmanen, Pauli, et al.. (1999). Recursive median filtering with partial replaces.. 61–64. 4 indexed citations
11.
Lukin, Vladimir, et al.. (1999). Iterative procedures for nonlinear filtering of images.. 15(7). 432–436. 1 indexed citations
12.
Lukin, Vladimir, et al.. (1998). Adaptive α-trimmed filters for speckle image processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3304. 209–209. 2 indexed citations
13.
Kuosmanen, Pauli & Jaakko Astola. (1996). Breakdown points, breakdown probabilities, midpoint sensitivity curves, and optimization of stack filters. Circuits Systems and Signal Processing. 15(2). 165–211. 3 indexed citations
14.
Egiazarian, Karen, Pauli Kuosmanen, & Jaakko Astola. (1996). Boolean derivatives, weighted Chow parameters, and selection probabilities of stack filters. IEEE Transactions on Signal Processing. 44(7). 1634–1641. 11 indexed citations
15.
Egiazarian, Karen, Pauli Kuosmanen, Jaakko Astola, & Sos С. Agaian. (1995). <title>Spectral approach to selection probabilities of stack filters</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2424. 56–67. 1 indexed citations
16.
Agaian, Sos С., Jaakko Astola, Karen Egiazarian, & Pauli Kuosmanen. (1995). Decompositional methods for stack filtering using Fibonacci p-codes. Signal Processing. 41(1). 101–110. 33 indexed citations
17.
Kuosmanen, Pauli & Jaakko Astola. (1995). Optimal stack filters under rank selection and structural constraints. Signal Processing. 41(3). 309–338. 15 indexed citations
18.
Huttunen, Heikki, et al.. (1995). <title>Optimal compositions of soft morphological filters</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2424. 16–27. 3 indexed citations
19.
Kuosmanen, Pauli, et al.. (1995). Shape preservation criteria and optimal soft morphological filtering. Journal of Mathematical Imaging and Vision. 5(4). 319–335. 20 indexed citations
20.
Kuosmanen, Pauli, et al.. (1994). <title>Optimal soft-morphological filtering under shape preservation criteria</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2300. 25–36. 3 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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