Arto Klami
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Signal Processing top 5%
- Co-authors
- Samuel KaskiSeppo VirtanenAbhishek TripathiJuho LeinonenArto VihavainenJaakko PeltonenSakari KnuutilaKatia Scotlandi
- Topics
- Bayesian Methods and Mixture Models (14 papers)Ultrasonics and Acoustic Wave Propagation (9 papers)Image Retrieval and Classification Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageThe Science of The Total Environment
- Partner nations
- FinlandUnited KingdomFrance
In The Last Decade
Arto Klami
79 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 348
- Computer Vision and Pattern Recognition 268
- Molecular Biology 191
- Cognitive Neuroscience 132
- Signal Processing 116
Countries citing papers authored by Arto Klami
This map shows the geographic impact of Arto Klami'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 Arto Klami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arto Klami more than expected).
Fields of papers citing papers by Arto Klami
This network shows the impact of papers produced by Arto Klami. 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 Arto Klami. The network helps show where Arto Klami may publish in the future.
Co-authorship network of co-authors of Arto Klami
This figure shows the co-authorship network connecting the top 25 collaborators of Arto Klami. A scholar is included among the top collaborators of Arto Klami 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 Arto Klami. Arto Klami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 28 | |
| 10 | 9 | |
| 11 | Flexible Prior Elicitation via the Prior Predictive Distribution. | 1 |
| 12 | Sensor Placement for Spatial Gaussian Processes with Integral Observations. | 5 |
| 13 | 1 | |
| 14 | Probabilistic size-constrained microclustering | 3 |
| 15 | Polya-gamma augmentations for factor models | 3 |
| 16 | Bayesian Canonical correlation analysis | 86 |
| 17 | Factorized multi-modal topic model | 8 |
| 18 | Bayesian CCA via Group Sparsity | 38 |
| 19 | Pinview: Implicit Feedback in Content-Based Image Retrieval | 16 |
| 20 | 48 |
About Arto Klami
Arto Klami is a scholar working on Computational Mathematics, Artificial Intelligence and Signal Processing, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (14 papers), Ultrasonics and Acoustic Wave Propagation (9 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Computational Mathematics (14 citations), Computer Science Applications (94 citations) and Human-Computer Interaction (82 citations). Arto Klami has collaborated with scholars based in Finland, United Kingdom and France. Frequent co-authors include Samuel Kaski, Seppo Virtanen, Seppo Virtanen, Abhishek Tripathi, Juho Leinonen, Arto Vihavainen, Jaakko Peltonen, Sakari Knuutila, Katia Scotlandi and Suvi Savola. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and The Science of The Total Environment.
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.