This map shows the geographic impact of Kari Torkkola'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 Kari Torkkola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kari Torkkola more than expected).
This network shows the impact of papers produced by Kari Torkkola. 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 Kari Torkkola. The network helps show where Kari Torkkola may publish in the future.
Co-authorship network of co-authors of Kari Torkkola
This figure shows the co-authorship network connecting the top 25 collaborators of Kari Torkkola.
A scholar is included among the top collaborators of Kari Torkkola 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 Kari Torkkola. Kari Torkkola 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.
Januschowski, Tim, et al.. (2021). Forecasting with trees. International Journal of Forecasting. 38(4). 1473–1481.52 indexed citations
2.
Tuv, Eugene, Alexander Borisov, George C. Runger, & Kari Torkkola. (2009). Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination. Journal of Machine Learning Research. 10(45). 1341–1366.197 indexed citations
Forman, George, Huan Liu, Edward R. Dougherty, et al.. (2005). Feature selection: We've barely scratched the surface. IEEE Intelligent Systems. 20(6). 74–76.14 indexed citations
7.
Torkkola, Kari, et al.. (2005). Sensor Sequence Modeling for Driving.. 721–727.21 indexed citations
8.
Torkkola, Kari. (2003). Feature extraction by non parametric mutual information maximization. Journal of Machine Learning Research. 3. 1415–1438.405 indexed citations
9.
Torkkola, Kari, et al.. (2003). Classification of Critical Driving Events.. 81–85.8 indexed citations
10.
Hwang, Chung Hee, et al.. (2003). Hybrid Intelligence for Driver Assistance. The Florida AI Research Society. 46(9). 281–285.2 indexed citations
11.
Campbell, William M. & Kari Torkkola. (2002). Machine Learning for Advising a Driver: A Survey.. 219–225.2 indexed citations
12.
Torkkola, Kari. (2001). Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions. Neural Information Processing Systems. 14. 969–976.17 indexed citations
13.
Torkkola, Kari & William M. Campbell. (2000). Mutual Information in Learning Feature Transformations. International Conference on Machine Learning. 1015–1022.95 indexed citations
14.
Campbell, William M., et al.. (2000). Dimension Reduction Techniques for Training Polynomial Networks. International Conference on Machine Learning. 119–126.12 indexed citations
15.
Torkkola, Kari & Teuvo Kohonen. (1998). Speech recognition: a hybrid approach. MIT Press eBooks. 907–910.4 indexed citations
16.
Torkkola, Kari. (1997). Blind Separation of Radio Signals in Fading Channels. Neural Information Processing Systems. 10. 756–762.4 indexed citations
17.
Torkkola, Kari. (1995). Stochastic models and artificial neural networks for automatic speech recognition. 149–169.
Berger-Vachon, Christian, Clark D. Starr, Markus Heß, et al.. (1993). IALP News. Folia Phoniatrica et Logopaedica. 45(3). 152–155.
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.