Jaakko Hollmén
- Computational Mathematics top 10%
- Cancer Research top 10%
- Signal Processing top 5%
- Time Series Analysis and Forecasting 15
- Artificial Intelligence top 5%
- Neural Networks and Applications 13
- Anomaly Detection Techniques and Applications 8
- Otorhinolaryngology top 10%
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- Plant Water Relations and Carbon Dynamics 12
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- Forest ecology and management 11
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- Tree-ring climate responses 9
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- Genomic variations and chromosomal abnormalities 8
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- Gene expression and cancer classification 8
- Co-authors
- Harriet WikmanJuha VesantoSisko AnttilaOlli SimulaSakari KnuutilaEsa AlhoniemiMika SulkavaAntti Karjalainen
- Partner nations
- FinlandGermanyUnited States
In The Last Decade
Jaakko Hollmén
107 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 159
- Computational Mathematics 12
- Cancer Research 256
- Signal Processing 152
- Artificial Intelligence 436
- Otorhinolaryngology 47
Countries citing papers authored by Jaakko Hollmén
This map shows the geographic impact of Jaakko Hollmén'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 Jaakko Hollmén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaakko Hollmén more than expected).
Fields of papers citing papers by Jaakko Hollmén
This network shows the impact of papers produced by Jaakko Hollmén. 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 Jaakko Hollmén. The network helps show where Jaakko Hollmén may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaakko Hollmén, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | Prediction of preterm infant mortality with Gaussian process classification. | 2017 | 3 |
| 4 | 2017 | 15 | |
| 5 | Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression | 2014 | 2 |
| 6 | Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing | 2014 | 6 |
| 7 | 2014 | 17 | |
| 8 | Advances in intelligent data analysis XI 11th international symposium, IDA 2012, Helsinki, Finland, October 25 - 27, 2012 ; proceedings | 2012 | 1 |
| 9 | 2009 | 72 | |
| 10 | 2009 | 24 | |
| 11 | 2007 | 60 | |
| 12 | 2006 | 43 | |
| 13 | Caveolins as Tumor Markers in Lung Cancer Detected by Combined Use of cDNA and Tissue Microarrays | 2004 | 2 |
| 14 | 2004 | 48 | |
| 15 | 2004 | 20 | |
| 16 | 2004 | 128 | |
| 17 | 2002 | 29 | |
| 18 | 2000 | 10 | |
| 19 | Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model | 1998 | 30 |
| 20 | Analysis of Complex Systems Using the Self-Organizing Map | 1997 | 8 |
About Jaakko Hollmén
Jaakko Hollmén is a scholar working on Signal Processing, Artificial Intelligence and Nature and Landscape Conservation, having authored 112 papers that have together received 2.0k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (15 papers), Neural Networks and Applications (13 papers), Plant Water Relations and Carbon Dynamics (12 papers), Forest ecology and management (11 papers), Tree-ring climate responses (9 papers), Genomic variations and chromosomal abnormalities (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Gene expression and cancer classification (8 papers). The work is most often cited by research in Computational Mathematics (12 citations), Cancer Research (256 citations) and Signal Processing (152 citations). Jaakko Hollmén has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Harriet Wikman, Juha Vesanto, Sisko Anttila, Olli Simula, Sakari Knuutila, Esa Alhoniemi, Sakari Knuutila, Mika Sulkava, Antti Karjalainen and Jouni K. Seppänen. Their work appears in journals such as PLoS ONE, Cancer Research and Oncogene.
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.