K. Kiviluoto

806 citations
9 papers · 512 indexed · h-index 7
Topics
Neural Networks and Applications (8 papers)Blind Source Separation Techniques (3 papers)Stock Market Forecasting Methods (2 papers)
Journals
NeurocomputingNeural Information Processing SystemsProceedings of International Conference on Neural Networks (ICNN'96)
Partner nations
Finland

In The Last Decade

K. Kiviluoto

9 papers receiving 458 citations

Peers

K. Kiviluoto
Comparison fields: 5 of 92
  • Artificial Intelligence 269
  • Signal Processing 122
  • Computer Vision and Pattern Recognition 80
  • Accounting 65
  • Analytical Chemistry 52
Replace Marie Cottrell with:
Marie Cottrell France
Ruben H. Zamar Canada
George Almpanidis China
Michiel Debruyne Belgium
Frank D. Francone Germany
Elizabeth Ann Maharaj Australia
K. S. Lim Singapore
Rita Tse Macao
Hongwei Zhao China
Mohammed Nasser Bangladesh
K. Kiviluoto relative to Marie Cottrell France Marie Cottrell's profile →
Citations per field
00.5×2.9×
Marie Cottrell · 1×
Citations per year

Countries citing papers authored by K. Kiviluoto

Since Specialization
Citations

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

Fields of papers citing papers by K. Kiviluoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Kiviluoto

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2 1
3 228
4 9
5 38
6
Self-Organizing Map for Data Mining in MATLAB: The SOM Toolbox
59
7
Independent Component Analysis for Parallel Financial Time Series
69
8 96
9
S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings
9

About K. Kiviluoto

K. Kiviluoto is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 9 papers that have together received 512 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Blind Source Separation Techniques (3 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Signal Processing (122 citations), Artificial Intelligence (269 citations) and Accounting (65 citations). K. Kiviluoto has collaborated with scholars based in Finland. Frequent co-authors include Erkki Oja, Johan Himberg, Esa Alhoniemi and Juha Vesanto. Their work appears in journals such as Neurocomputing, Neural Information Processing Systems and Proceedings of International Conference on Neural Networks (ICNN'96).

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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