Jarno Mielikäinen

2.3k total citations · 1 hit paper
56 papers, 1.6k citations indexed

About

Jarno Mielikäinen is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Jarno Mielikäinen has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 22 papers in Computer Vision and Pattern Recognition and 22 papers in Global and Planetary Change. Recurrent topics in Jarno Mielikäinen's work include Meteorological Phenomena and Simulations (31 papers), Climate variability and models (20 papers) and Advanced Data Compression Techniques (17 papers). Jarno Mielikäinen is often cited by papers focused on Meteorological Phenomena and Simulations (31 papers), Climate variability and models (20 papers) and Advanced Data Compression Techniques (17 papers). Jarno Mielikäinen collaborates with scholars based in United States, Finland and South Korea. Jarno Mielikäinen's co-authors include Bormin Huang, Pekka Toivanen, Hung-Lung Huang, Mitchell D. Goldberg, Arto Kaarna, Allen Huang, Tsengdar Lee, Jiaji Wu, Jussi Parkkinen and Jun Wang and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition Letters.

In The Last Decade

Jarno Mielikäinen

55 papers receiving 1.4k citations

Hit Papers

LSB matching revisited 2006 2026 2012 2019 2006 200 400 600
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. LSB matching revisited
    2006 710 citations Jarno Mielikäinen IEEE Signal Processing Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jarno Mielikäinen United States 18 1.2k 298 175 160 149 56 1.6k
Francisco Argüello Spain 16 285 0.2× 248 0.8× 437 2.5× 27 0.2× 150 1.0× 80 858
A.N. Evans United Kingdom 14 412 0.4× 86 0.3× 121 0.7× 28 0.2× 76 0.5× 63 782
Yen‐Chieh Ouyang Taiwan 13 155 0.1× 307 1.0× 479 2.7× 65 0.4× 127 0.9× 74 1.0k
Sergio Bernabé Spain 15 209 0.2× 278 0.9× 481 2.7× 56 0.3× 64 0.4× 43 681
Te‐Ming Tu Taiwan 14 779 0.7× 123 0.4× 1.0k 5.9× 39 0.2× 108 0.7× 31 1.3k
Changjiang Zhang China 14 149 0.1× 193 0.6× 87 0.5× 106 0.7× 73 0.5× 130 724
Weijia Cao China 14 617 0.5× 167 0.6× 350 2.0× 31 0.2× 286 1.9× 37 1.1k
A. Habibi United States 15 516 0.4× 26 0.1× 79 0.5× 75 0.5× 158 1.1× 36 985
Yuli Sun China 22 322 0.3× 473 1.6× 908 5.2× 35 0.2× 205 1.4× 56 1.3k

Countries citing papers authored by Jarno Mielikäinen

Since Specialization
Citations

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

Fields of papers citing papers by Jarno Mielikäinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarno Mielikäinen

This figure shows the co-authorship network connecting the top 25 collaborators of Jarno Mielikäinen. A scholar is included among the top collaborators of Jarno Mielikäinen 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 Jarno Mielikäinen. Jarno Mielikäinen 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.
Mielikäinen, Jarno, et al.. (2015). Development of efficient GPU parallelization of WRF Yonsei University planetary boundary layer scheme. Geoscientific model development. 8(9). 2977–2990. 10 indexed citations
2.
Mielikäinen, Jarno, Bormin Huang, Hung-Lung Huang, & Tsengdar Lee. (2015). Performance and Scalability of the JCSDA Community Radiative Transfer Model (CRTM) on NVIDIA GPUs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(4). 1519–1527. 2 indexed citations
3.
Mielikäinen, Jarno, Bormin Huang, & Allen Huang. (2014). Initial results on computational performance of Intel Many Integrated Core (MIC) architecture: implementation of the Weather and Research Forecasting (WRF) Purdue-Lin microphysics scheme. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9247. 92470C–92470C. 2 indexed citations
4.
Mielikäinen, Jarno, Bormin Huang, & Allen Huang. (2014). Optimizing zonal advection of the Advanced Research WRF (ARW) dynamics for Intel MIC. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9247. 92470M–92470M. 5 indexed citations
5.
Mielikäinen, Jarno, Bormin Huang, & Allen Huang. (2014). Optimizing Weather and Research Forecast (WRF) Thompson cloud microphysics on Intel Many Integrated Core (MIC). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9124. 91240Q–91240Q. 5 indexed citations
6.
Mielikäinen, Jarno, Bormin Huang, & Allen Huang. (2014). Intel Xeon Phi accelerated Weather Research and Forecasting (WRF) Goddard microphysics scheme. 10 indexed citations
7.
Mielikäinen, Jarno, et al.. (2014). GPU-Accelerated Longwave Radiation Scheme of the Rapid Radiative Transfer Model for General Circulation Models (RRTMG). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(8). 3660–3667. 29 indexed citations
8.
Huang, Bormin, et al.. (2013). Further Improvement on GPU-Based Parallel Implementation of WRF 5-Layer Thermal Diffusion Scheme. 710–715. 4 indexed citations
9.
Mielikäinen, Jarno, et al.. (2012). Compute unified device architecture (CUDA)-based parallelization of WRF Kessler cloud microphysics scheme. Computers & Geosciences. 52. 292–299. 28 indexed citations
10.
Mielikäinen, Jarno, Bormin Huang, Hung-Lung Huang, & Mitchell D. Goldberg. (2012). GPU Implementation of Stony Brook University 5-Class Cloud Microphysics Scheme in the WRF. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(2). 625–633. 10 indexed citations
11.
Mielikäinen, Jarno, Bormin Huang, & Allen Huang. (2011). GPU-Accelerated Stony-Brook University 5-class Microphysics Scheme in WRF. AGUFM. 2011. 1 indexed citations
12.
Haataja, Keijo, et al.. (2009). Designing and implementing an intelligent Bluetooth-enabled robot car. 1–6. 5 indexed citations
13.
Kyrki, Ville, et al.. (2007). Paper Surface Topography Using Three-light Photometric Stereo. Machine Vision and Applications. 17(7). 45–48. 3 indexed citations
14.
Mielikäinen, Jarno. (2006). Lossless compression of hyperspectral images using lookup tables. IEEE Signal Processing Letters. 13(3). 157–160. 80 indexed citations
15.
Mielikäinen, Jarno. (2006). LSB matching revisited. IEEE Signal Processing Letters. 13(5). 285–287. 710 indexed citations breakdown →
16.
Mielikäinen, Jarno, et al.. (2005). Reducing the compression time of the spectral DPCM for lossless compression of 3D hyperspectral sounding data. 253–256. 1 indexed citations
17.
Mielikäinen, Jarno. (2003). Lossless compression of hyperspectral images. LUTPub (LUT University). 7 indexed citations
18.
Mielikäinen, Jarno. (2003). Linear prediction in lossless compression of hyperspectral images. Optical Engineering. 42(4). 1013–1013. 27 indexed citations
19.
Toivanen, Pekka, et al.. (2003). Edge detection in multispectral images using the self-organizing map. Pattern Recognition Letters. 24(16). 2987–2994. 25 indexed citations
20.
Mielikäinen, Jarno & Arto Kaarna. (2003). Improved back end for integer PCA and wavelet transforms for lossless compression of multispectral images. 2. 257–260. 14 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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