Mikko Lauri
Impact in
-
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotic Path Planning Algorithms 4
- Advanced Image and Video Retrieval Techniques 3
-
- Reinforcement Learning in Robotics 6
- Machine Learning and Algorithms 2
- Co-authors
- Risto Ritala (8 shared papers)Joni Pajarinen (4 shared papers)Simone Frintrop (8 shared papers)David Hsu (1 shared paper)Xiaolin Hu (2 shared papers)Jianwei Zhang (2 shared papers)Jan Peters (3 shared papers)Yulong Wang (1 shared paper)
In The Last Decade
Mikko Lauri
20 papers receiving 357 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 185
- Aerospace Engineering 140
- Control and Systems Engineering 106
- Geology 18
- Artificial Intelligence 79
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-authors
The 23 scholars most cited alongside Mikko Lauri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 78 | |
| 2 | 2016 | 72 | |
| 3 | 2020 | 54 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 29 | |
| 6 | 2011 | 24 | |
| 7 | 2017 | 20 | |
| 8 | 2020 | 12 | |
| 9 | 2019 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2015 | 5 | |
| 13 | 2019 | 4 | |
| 14 | 2015 | 4 | |
| 15 | Active Object Recognition via Monte Carlo Tree Search | 2015 | 3 |
| 16 | 2009 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2013 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2021 | 1 |
About Mikko Lauri
Mikko Lauri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering and Control and Systems Engineering, having authored 21 papers that have together received 369 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Optimization and Search Problems (5 papers), Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (4 papers), Robot Manipulation and Learning (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Age of Information Optimization (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Aerospace Engineering (140 citations), Control and Systems Engineering (106 citations), Geology (18 citations) and Artificial Intelligence (79 citations). Mikko Lauri has collaborated with scholars based in Germany, Finland and China. Frequent co-authors include Risto Ritala, Joni Pajarinen, Simone Frintrop, David Hsu, Xiaolin Hu, Jianwei Zhang, Jan Peters, Yulong Wang, Toni Björninen and Atef Z. Elsherbeni. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Transactions on Robotics, Neural Computing and Applications, IEEE Robotics and Automation Letters and Autonomous Agents and Multi-Agent Systems.
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.