K. Torkkola

1.7k total citations
32 papers, 1.0k citations indexed

About

K. Torkkola is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, K. Torkkola has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Signal Processing and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in K. Torkkola's work include Neural Networks and Applications (14 papers), Speech Recognition and Synthesis (10 papers) and Speech and Audio Processing (8 papers). K. Torkkola is often cited by papers focused on Neural Networks and Applications (14 papers), Speech Recognition and Synthesis (10 papers) and Speech and Audio Processing (8 papers). K. Torkkola collaborates with scholars based in United States, Finland and Switzerland. K. Torkkola's co-authors include Jari Kangas, Teuvo Kohonen, Jorma Laaksonen, Johanna Hynninen, Kenneth E. Hild, José C. Prı́ncipe, Deniz Erdoğmuş, Paris Smaragdis, Noel Massey and Eugene Tuv and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Intelligent Systems and Pattern Analysis and Applications.

In The Last Decade

K. Torkkola

28 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Torkkola United States 14 504 405 298 138 110 32 1.0k
Kari Torkkola United States 13 610 1.2× 242 0.6× 364 1.2× 40 0.3× 61 0.6× 41 1.1k
Dana Lahat France 5 247 0.5× 186 0.5× 171 0.6× 63 0.5× 73 0.7× 11 830
Harri Valpola Finland 18 929 1.8× 447 1.1× 667 2.2× 51 0.4× 182 1.7× 41 1.6k
Miguel Lázaro-Gredilla Spain 17 590 1.2× 187 0.5× 180 0.6× 149 1.1× 54 0.5× 39 1.2k
Li Zhao China 18 381 0.8× 394 1.0× 534 1.8× 61 0.4× 48 0.4× 103 1.1k
Aravind Ganapathiraju United States 12 654 1.3× 500 1.2× 279 0.9× 21 0.2× 47 0.4× 35 1.2k
Cheong Hee Park South Korea 18 392 0.8× 131 0.3× 260 0.9× 36 0.3× 55 0.5× 63 876
Francis R. Bach United States 10 319 0.6× 166 0.4× 410 1.4× 219 1.6× 25 0.2× 11 824
F. Anouar France 4 497 1.0× 232 0.6× 871 2.9× 79 0.6× 187 1.7× 5 1.4k

Countries citing papers authored by K. Torkkola

Since Specialization
Citations

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

Fields of papers citing papers by K. Torkkola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. Torkkola. A scholar is included among the top collaborators of K. 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 K. Torkkola. K. 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.
Torkkola, K., et al.. (2006). Development of a Semi-Automatic Data Annotation Tool for Driving Data. 642–646. 2 indexed citations
2.
Hild, Kenneth E., Deniz Erdoğmuş, K. Torkkola, & José C. Prı́ncipe. (2006). Feature extraction using information-theoretic learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(9). 1385–1392. 105 indexed citations
3.
Tuv, Eugene, Alexander Borisov, & K. Torkkola. (2006). Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 2181–2186. 14 indexed citations
4.
Torkkola, K., et al.. (2005). Detecting driver inattention in the absence of driver monitoring sensors. 220–226. 12 indexed citations
5.
Torkkola, K., et al.. (2005). Driver inattention detection through intelligent analysis of readily available sensors. 326–331. 45 indexed citations
6.
Liu, Haiguang, E.R. Dougherty, Jennifer Dy, et al.. (2005). Evolving feature selection. IEEE Intelligent Systems. 20(6). 64–76. 154 indexed citations
7.
Torkkola, K., Keshu Zhang, Christopher S. Schreiner, & Noel Massey. (2005). Extracting interesting vehicle sensor data using multivariate stationarity. 3. 959–964. 1 indexed citations
8.
Torkkola, K., S. Venkatesan, & Huan Liu. (2005). Sensor selection for maneuver classification. 636–641. 11 indexed citations
9.
Torkkola, K.. (2003). Discriminative features for document classification. 1. 472–475. 15 indexed citations
10.
Torkkola, K. & Teuvo Kohonen. (2003). Correction of quasiphoneme strings by the dynamically expanding context. 487–489. 2 indexed citations
11.
Torkkola, K.. (2003). Automatic alignment of speech with phonetic transcriptions in real time. 3. 611–614. 11 indexed citations
12.
Kohonen, Teuvo, et al.. (2003). Phonetic typewriter for Finnish and Japanese. 607–610. 8 indexed citations
13.
Kohonen, Teuvo, Jari Kangas, Jorma Laaksonen, & K. Torkkola. (2003). LVQPAK: A software package for the correct application of Learning Vector Quantization algorithms. 1. 725–730. 57 indexed citations
14.
Torkkola, K.. (2002). Blind separation of convolved sources based on information maximization. 423–432. 134 indexed citations
15.
Torkkola, K.. (2002). Visualizing class structure in data using mutual information. 1. 376–385. 8 indexed citations
16.
Torkkola, K.. (2002). LVQ as a feature transformation for HMMs. 299–308.
17.
Torkkola, K., et al.. (1999). Evaluation of blind signal separation methods. TU/e Research Portal (Eindhoven University of Technology). 261–266. 73 indexed citations
18.
Kohonen, Teuvo, Johanna Hynninen, Jari Kangas, Jorma Laaksonen, & K. Torkkola. (1996). LVQ_PAK: The Learning Vector Quantization Program Package. 155 indexed citations
19.
Torkkola, K., et al.. (1991). Using the topology-preserving properties of SOFMs in speech recognition. 261–264 vol. 1. 10 indexed citations
20.

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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