Jukka Heikkonen
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 2%
- Cognitive Neuroscience top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Fahimeh FarahnakianPaavo NevalainenMarkus VarstaMohammad-Hashem HaghbayanJuha PlosilaHannu TenhunenTapio PahikkalaSherif A. S. Mohamed
- Topics
- Remote Sensing and LiDAR Applications (20 papers)Robotics and Sensor-Based Localization (13 papers)EEG and Brain-Computer Interfaces (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
In The Last Decade
Jukka Heikkonen
134 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 524
- Computer Vision and Pattern Recognition 511
- Aerospace Engineering 462
- Cognitive Neuroscience 436
- Computer Networks and Communications 419
Countries citing papers authored by Jukka Heikkonen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 41 | |
| 7 | 25 | |
| 8 | 16 | |
| 9 | 73 | |
| 10 | 99 | |
| 11 | 30 | |
| 12 | Dynamic forest trafficability prediction by fusion of open data, hydrologic forecasts and harvester-measured data | 2 |
| 13 | 1 | |
| 14 | 115 | |
| 15 | Forest change detection via Landsat TM difference features | 0 |
| 16 | 68 | |
| 17 | 11 | |
| 18 | A New Robust Bayesian Method for the Affine F-Matrix Estimation. | 1 |
| 19 | Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map. | 5 |
| 20 | Subsymbolic representations, self-organizing maps, and object motion learning | 6 |
About Jukka Heikkonen
Jukka Heikkonen is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 146 papers that have together received 2.7k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (20 papers), Robotics and Sensor-Based Localization (13 papers) and EEG and Brain-Computer Interfaces (11 papers). The work is most often cited by research in Structural Biology (94 citations), Signal Processing (287 citations) and Computer Vision and Pattern Recognition (511 citations). Jukka Heikkonen has collaborated with scholars based in Finland, Italy and Sweden. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.