Arno Solin
Impact in
- Artificial Intelligence top 5%
- Gaussian Processes and Bayesian Inference
- Target Tracking and Data Fusion in Sensor Networks
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- Inertial Sensor and Navigation
Papers in
-
- Gaussian Processes and Bayesian Inference 19
- Target Tracking and Data Fusion in Sensor Networks 15
-
- Advanced Vision and Imaging 8
- Advanced Image Processing Techniques 3
- Co-authors
- Simo Särkkä (16 shared papers)Juho Kannala (16 shared papers)Jouni Hartikainen (1 shared paper)Santiago Cortés (3 shared papers)Esa Rahtu (6 shared papers)Manon Kok (3 shared papers)Aki Vehtari (3 shared papers)Fa‐Hsuan Lin (2 shared papers)
- Journals
- Lecture notes in computer science (10 papers)IEEE Signal Processing Magazine (1 paper)NeuroImage (1 paper)Journal of Machine Learning Research (1 paper)Statistics and Computing (1 paper)
- Partner nations
- FinlandNetherlandsUnited States
In The Last Decade
Arno Solin
42 papers receiving 888 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 386
- Aerospace Engineering 263
- Computer Vision and Pattern Recognition 191
- Geology 48
- Control and Systems Engineering 137
Countries citing papers authored by Arno Solin
This map shows the geographic impact of Arno Solin'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 Arno Solin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arno Solin more than expected).
Fields of papers citing papers by Arno Solin
This network shows the impact of papers produced by Arno Solin. 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 Arno Solin. The network helps show where Arno Solin may publish in the future.
Co-authors
The 25 scholars most cited alongside Arno Solin, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 162 | |
| 2 | 2012 | 110 | |
| 3 | 2018 | 71 | |
| 4 | 2018 | 63 | |
| 5 | 2018 | 48 | |
| 6 | 2012 | 45 | |
| 7 | 2022 | 42 | |
| 8 | 2019 | 38 | |
| 9 | 2016 | 32 | |
| 10 | 2016 | 30 | |
| 11 | 2017 | 28 | |
| 12 | 2022 | 27 | |
| 13 | 2022 | 26 | |
| 14 | EXPLICIT LINK BETWEEN PERIODIC COVARIANCE FUNCTIONS AND STATE SPACE MODELS | 2014 | 26 |
| 15 | Expectation maximization based parameter estimation by sigma-point and particle smoothing | 2014 | 21 |
| 16 | State Space Methods for Efficient Inference in Student-t Process Regression | 2015 | 14 |
| 17 | 2013 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2019 | 10 |
About Arno Solin
Arno Solin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 50 papers that have together received 913 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (19 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Scientific Research and Discoveries (6 papers), Control Systems and Identification (5 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (386 citations), Aerospace Engineering (263 citations), Computer Vision and Pattern Recognition (191 citations), Geology (48 citations) and Control and Systems Engineering (137 citations). Arno Solin has collaborated with scholars based in Finland, Netherlands and United States. Frequent co-authors include Simo Särkkä, Juho Kannala, Jouni Hartikainen, Santiago Cortés, Esa Rahtu, Manon Kok, Aki Vehtari, Fa‐Hsuan Lin, Toni Auranen and Aapo Nummenmaa. Their work appears in journals such as Lecture notes in computer science, IEEE Signal Processing Magazine, NeuroImage, Journal of Machine Learning Research and Statistics and Computing.
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.