Markku Hauta‐Kasari

1.3k citations
86 papers · 872 indexed · h-index 16
Topics
Color Science and Applications (26 papers)Spectroscopy and Chemometric Analyses (14 papers)Optical Imaging and Spectroscopy Techniques (14 papers)

In The Last Decade

Markku Hauta‐Kasari

80 papers receiving 825 citations

Peers

Markku Hauta‐Kasari
Comparison fields: 5 of 123
  • Atomic and Molecular Physics, and Optics 237
  • Computer Vision and Pattern Recognition 236
  • Radiology, Nuclear Medicine and Imaging 200
  • Media Technology 186
  • Biomedical Engineering 168
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Yoichi Miyake Japan
P. Kruizinga Netherlands
Jon Yngve Hardeberg Norway
Francesco Leporati Italy
Nikolay Petkov Bulgaria
Boris Escalante‐Ramírez Mexico
Martin Storath Germany
Jesús Salido Spain
Mukul Sarkar India
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Markku Hauta‐Kasari relative to Yoichi Miyake Japan Yoichi Miyake's profile →
Citations per field
00.5×8.3×
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Citations per year

Countries citing papers authored by Markku Hauta‐Kasari

Since Specialization
Citations

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

Fields of papers citing papers by Markku Hauta‐Kasari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markku Hauta‐Kasari. 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 Markku Hauta‐Kasari. The network helps show where Markku Hauta‐Kasari may publish in the future.

Co-authorship network of co-authors of Markku Hauta‐Kasari

This figure shows the co-authorship network connecting the top 25 collaborators of Markku Hauta‐Kasari. A scholar is included among the top collaborators of Markku Hauta‐Kasari 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 Markku Hauta‐Kasari. Markku Hauta‐Kasari 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 1
2 26
3 3
4 5
5 25
6 14
7 7
8 7
9 25
10 5
11 7
12 34
13 10
14 10
15 12
16 13
17 26
18 39
19 7
20
Computational techniques for spectral image analysis
4

About Markku Hauta‐Kasari

Markku Hauta‐Kasari is a scholar working on Computational Mathematics, Analytical Chemistry and Media Technology, having authored 86 papers that have together received 872 indexed citations. Recurring topics across this work include Color Science and Applications (26 papers), Spectroscopy and Chemometric Analyses (14 papers) and Optical Imaging and Spectroscopy Techniques (14 papers). The work is most often cited by research in Computational Mathematics (13 citations), Media Technology (186 citations) and Biophysics (73 citations). Markku Hauta‐Kasari has collaborated with scholars based in Finland, Japan and United Kingdom. Frequent co-authors include Jussi Parkkinen, Timo Jääskeläinen, Reiner Lenz, Ville Heikkinen, Jukka S. Jurvelin, Satoru Toyooka, Juha Töyräs, Pasi Vahimaa, Hannu Uusitalo and Isaac O. Afara. Their work appears in journals such as Remote Sensing of Environment, Optics Express and IEEE Access.

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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