Jukka Heikkonen

4.2k total citations
146 papers, 2.7k citations indexed

About

Jukka Heikkonen is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Jukka Heikkonen has authored 146 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 24 papers in Environmental Engineering and 24 papers in Aerospace Engineering. Recurrent topics in Jukka Heikkonen's work include Remote Sensing and LiDAR Applications (20 papers), Robotics and Sensor-Based Localization (13 papers) and EEG and Brain-Computer Interfaces (11 papers). Jukka Heikkonen is often cited by papers focused on Remote Sensing and LiDAR Applications (20 papers), Robotics and Sensor-Based Localization (13 papers) and EEG and Brain-Computer Interfaces (11 papers). Jukka Heikkonen collaborates with scholars based in Finland, Italy and Sweden. Jukka Heikkonen's co-authors include Fahimeh Farahnakian, Paavo Nevalainen, Markus Varsta, Mohammad-Hashem Haghbayan, Juha Plosila, Hannu Tenhunen, Tapio Pahikkala, Sherif A. S. Mohamed, Kimmo Kaski and Tomi Westerlund and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Jukka Heikkonen

134 papers receiving 2.6k citations

Peers

Jukka Heikkonen

CVPR

CNC

Piotr Mirowski United States

Raúl Rojas Germany

Hong Sun China

Bo Tao China

Huimin Zhao China

Yudong Chen China

Martin F. Møller Denmark

Lianyang Ma China

Jason Kuen United States

Zhenhua Wang China

Piotr Mirowski United States

Jukka Heikkonen

457 ×0.9

297 ×0.6

CVPR

207 ×0.4

378 ×0.9

124 ×0.3

CNC

Citations per year, relative to Jukka Heikkonen Jukka Heikkonen (= 1×) peers Piotr Mirowski

Countries citing papers authored by Jukka Heikkonen

Since Specialization

Citations

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

Fields of papers citing papers by Jukka Heikkonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jukka Heikkonen

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

All Works

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20 of 20 papers shown

Virjonen, Petra, et al.. (2025). Enhancing hurdles athletes’ performance analysis: A comparative study of cnn-based pose estimation frameworks. Multimedia Tools and Applications. 84(28). 34573–34591. 1 indexed citations

Zhang, Jiaqiang, et al.. (2025). A Robust Integrated Approach for Near Real-Time Seamless Orthomosaic Generation Using Off-the-Shelf UAVs for Ultra-High Resolution Mapping Applications. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. X-2/W2-2025. 65–72.

Farahnakian, Fahimeh, Maarit Middleton, Sakari Tuominen, et al.. (2025). Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. Ecological Informatics. 90. 103233–103233.

Heikkonen, Jukka, et al.. (2023). Machine Vision and Artificial Intelligence in Robotics for Smart Factory. 1–4. 2 indexed citations

Mohamed, Sherif A. S., Jawad N. Yasin, Mohammad-Hashem Haghbayan, et al.. (2020). Dynamic resource-aware corner detection for bio-inspired vision sensors. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 7 indexed citations

Li, Qingqing, Paavo Nevalainen, Jorge Peña Queralta, Jukka Heikkonen, & Tomi Westerlund. (2020). Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation. Remote Sensing. 12(11). 1870–1870. 41 indexed citations

Yasin, Jawad N., Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, et al.. (2020). Energy-Efficient Formation Morphing for Collision Avoidance in a Swarm of Drones. IEEE Access. 8. 170681–170695. 25 indexed citations

Nevalainen, Paavo, et al.. (2020). Navigation and Mapping in Forest Environment Using Sparse Point Clouds. Remote Sensing. 12(24). 4088–4088. 16 indexed citations

Talman, Virpi, Päivi Pöhö, Parisa Movahedi, et al.. (2018). Molecular Atlas of Postnatal Mouse Heart Development. Journal of the American Heart Association. 7(20). e010378–e010378. 73 indexed citations

10.

Farahnakian, Fahimeh & Jukka Heikkonen. (2018). A deep auto-encoder based approach for intrusion detection system. 2018 20th International Conference on Advanced Communication Technology (ICACT). 1–1. 99 indexed citations

11.

Movahedi, Parisa, Jouko Yliruusi, Anne Juppo, et al.. (2018). Time-Gated Raman Spectroscopy for Quantitative Determination of Solid-State Forms of Fluorescent Pharmaceuticals. Analytical Chemistry. 90(7). 4832–4839. 30 indexed citations

12.

Salmivaara, Aura, Samuli Launiainen, Jari Ala‐Ilomäki, et al.. (2017). Dynamic forest trafficability prediction by fusion of open data, hydrologic forecasts and harvester-measured data. Jukuri (Natural Resources Institute Finland (Luke)). 2 indexed citations

13.

Airola, Antti, et al.. (2017). A/B-Test of Retention and Monetization Using the Cox Model. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(1). 248–254. 1 indexed citations

14.

Pohjankukka, Jonne, Tapio Pahikkala, Paavo Nevalainen, & Jukka Heikkonen. (2017). Estimating the prediction performance of spatial models via spatial k-fold cross validation. International Journal of Geographical Information Systems. 31(10). 2001–2019. 115 indexed citations

15.

Heikkonen, Jukka, Jari Varjo, & Aki Vehtari. (2015). Forest change detection via Landsat TM difference features. Jukuri (Natural Resources Institute Finland (Luke)).

16.

Kauhanen, Laura, Janne Lehtonen, Pasi Jylänki, et al.. (2006). EEG and MEG brain-computer interface for tetraplegic patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14(2). 190–193. 68 indexed citations

17.

Heikkonen, Jukka & Jari Varjo. (2004). Forest Change Detection Applying Landsat Thematic Mapper Difference Features: A Comparison of Different Classifiers in Boreal Forest Conditions. Forest Science. 50(5). 579–588. 11 indexed citations

18.

Brandt, Sami S. & Jukka Heikkonen. (2000). A New Robust Bayesian Method for the Affine F-Matrix Estimation.. Vision Modeling and Visualization. 39–46. 1 indexed citations

19.

Varsta, Markus, Jukka Heikkonen, & Jouko Lampinen. (2000). Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map.. The European Symposium on Artificial Neural Networks. 273–280. 5 indexed citations

20.

Heikkonen, Jukka. (1994). Subsymbolic representations, self-organizing maps, and object motion learning. 6 indexed citations

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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