Jarmo Ilonen

1.3k citations
21 papers · 916 · h-index 13

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Neural Networks and Applications
    • Evolutionary Algorithms and Applications
    • Machine Fault Diagnosis Techniques
    • Robot Manipulation and Learning
    • Fault Detection and Control Systems

Papers in

Jarmo Ilonen

21 papers receiving 870 citations

Peers

Jarmo Ilonen
Comparison fields: 5 of 113
  • Artificial Intelligence 364
  • Control and Systems Engineering 215
  • Computer Vision and Pattern Recognition 187
  • Signal Processing 59
  • Computational Theory and Mathematics 87
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Weidong Jin China
Carlos H. Llanos Brazil
André Nunes de Souza Brazil
Jinsha Yuan China
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Citations per field
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Citations per year

Countries citing papers authored by Jarmo Ilonen

Since Specialization
Citations

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

Fields of papers citing papers by Jarmo Ilonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Jarmo Ilonen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jarmo Ilonen Line = papers co-authored together Jarmo Ilonen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003443
2 2006111
3 200572
4 201737
5 201334
6 200833
7 201328
8
Efficient computation of Gabor features
200525
9 200325
10 200623
11 201120
12 200417
13 200712
14 201611
15 20077
16 20035
17 20074
18 20173
19 20132
20 20062

About Jarmo Ilonen

Jarmo Ilonen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Media Technology and Aerospace Engineering, having authored 21 papers that have together received 916 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Face and Expression Recognition (4 papers), Robotics and Sensor-Based Localization (3 papers), Image and Object Detection Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Laser Material Processing Techniques (2 papers) and Additive Manufacturing Materials and Processes (2 papers). The work is most often cited by research in Artificial Intelligence (364 citations), Control and Systems Engineering (215 citations), Computer Vision and Pattern Recognition (187 citations), Signal Processing (59 citations) and Computational Theory and Mathematics (87 citations). Jarmo Ilonen has collaborated with scholars based in Finland, United Kingdom and Germany. Frequent co-authors include Joni‐Kristian Kämäräinen, Jouni Lampinen, Heikki Kälviäinen, P. Paalanen, Ville Kyrki, Jeannette Bohg, Jero Ahola, Tuomo Lindh, Jarmo Partanen and Lasse Lensu. Their work appears in journals such as Pattern Recognition Letters, Neural Processing Letters, IEEE Transactions on Industry Applications, Technological Forecasting and Social Change and IEEE Transactions on Image Processing.

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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