Mikko Lauri
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Risto RitalaSimone FrintropJoni PajarinenDavid HsuXiaolin HuJianwei ZhangJan PetersYulong Wang
- Topics
- Reinforcement Learning in Robotics (6 papers)Optimization and Search Problems (5 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
In The Last Decade
Mikko Lauri
20 papers receiving 339 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 181
- Aerospace Engineering 136
- Control and Systems Engineering 104
- Artificial Intelligence 78
- Computer Networks and Communications 53
Countries citing papers authored by Mikko Lauri
This map shows the geographic impact of Mikko Lauri'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 Mikko Lauri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikko Lauri more than expected).
Fields of papers citing papers by Mikko Lauri
This network shows the impact of papers produced by Mikko Lauri. 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 Mikko Lauri. The network helps show where Mikko Lauri may publish in the future.
Co-authorship network of co-authors of Mikko Lauri
This figure shows the co-authorship network connecting the top 25 collaborators of Mikko Lauri. A scholar is included among the top collaborators of Mikko Lauri 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 Mikko Lauri. Mikko Lauri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 69 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | 51 | |
| 6 | 27 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 20 | |
| 12 | 70 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | Active Object Recognition via Monte Carlo Tree Search | 3 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 2 |
About Mikko Lauri
Mikko Lauri is a scholar working on Computer Vision and Pattern Recognition, Geology and Artificial Intelligence, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Optimization and Search Problems (5 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Aerospace Engineering (136 citations) and Control and Systems Engineering (104 citations). Mikko Lauri has collaborated with scholars based in Germany, Finland and China. Frequent co-authors include Risto Ritala, Simone Frintrop, Joni Pajarinen, David Hsu, Xiaolin Hu, Jianwei Zhang, Jan Peters, Yulong Wang, Lauri Sydänheimo and Toni Björninen. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Transactions on Instrumentation and Measurement and Neural Computing and Applications.
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.