Ari Nieminen
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Signal Processing top 10%
- Computational Mechanics top 10%
- Biomedical Engineering
- Topics
- Image and Signal Denoising Methods (8 papers)Advanced Adaptive Filtering Techniques (4 papers)Advanced Image Fusion Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern Recognition LettersSignal Processing
- Partner nations
- FinlandSwitzerlandUnited States
In The Last Decade
Ari Nieminen
16 papers receiving 350 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 306
- Media Technology 117
- Signal Processing 99
- Computational Mechanics 74
- Biomedical Engineering 34
Countries citing papers authored by Ari Nieminen
This map shows the geographic impact of Ari Nieminen'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 Ari Nieminen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Nieminen more than expected).
Fields of papers citing papers by Ari Nieminen
This network shows the impact of papers produced by Ari Nieminen. 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 Ari Nieminen. The network helps show where Ari Nieminen may publish in the future.
Co-authorship network of co-authors of Ari Nieminen
This figure shows the co-authorship network connecting the top 25 collaborators of Ari Nieminen. A scholar is included among the top collaborators of Ari Nieminen 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 Ari Nieminen. Ari Nieminen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | FINNISH EMPLOYER CONFEDERATIONS — STREAMLINING INNER ORGANIZATION AND REGULATING NATIONAL CAPITALISM | 0 |
| 7 | 1 | |
| 8 | Suomi avoimessa maailmassa | 3 |
| 9 | 2 | |
| 10 | 6 | |
| 11 | PROTOTYPING IDTV FUNCTIONS USING PGAS | 1 |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 15 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | 292 | |
| 18 | 10 | |
| 19 | 5 |
About Ari Nieminen
Ari Nieminen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 19 papers that have together received 395 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Adaptive Filtering Techniques (4 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (306 citations), Media Technology (117 citations) and Signal Processing (99 citations). Ari Nieminen has collaborated with scholars based in Finland, Switzerland and United States. Frequent co-authors include Y. Neuvo, P. Heinonen, M. Spann, Alpo Värri, Urbashi Mitra, M. Kunt, Juha Salo, Petri Rouvinen, Raimo Väyrynen and Pekka Ylä-Anttila. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Signal Processing.
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.