Tapio Pahikkala
- Computational Theory and Mathematics top 0.5%
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- IoT and Edge/Fog Computing 10
- Health Informatics top 5%
- Information Systems top 1%
- Cloud Computing and Resource Management 11
- Artificial Intelligence top 1%
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- Face and Expression Recognition 17
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- Bioinformatics and Genomic Networks 13
- Biomedical Text Mining and Ontologies 11
- Machine Learning in Bioinformatics 9
- Gene expression and cancer classification 9
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- Prostate Cancer Diagnosis and Treatment 10
- Co-authors
- Antti AirolaTapio SalakoskiPasi LiljebergTero AittokallioJuha PlosilaFahimeh FarahnakianHannu TenhunenFilip Ginter
- Journals
- Machine Learning (5 papers)International Journal of Medical Informatics (4 papers)Analytical Chemistry (3 papers)
- Partner nations
- FinlandPakistanUnited States
In The Last Decade
Tapio Pahikkala
140 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Computational Theory and Mathematics 662
- Computer Networks and Communications 719
- Health Informatics 42
- Information Systems 677
- Artificial Intelligence 913
Countries citing papers authored by Tapio Pahikkala
This map shows the geographic impact of Tapio Pahikkala'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 Tapio Pahikkala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapio Pahikkala more than expected).
Fields of papers citing papers by Tapio Pahikkala
This network shows the impact of papers produced by Tapio Pahikkala. 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 Tapio Pahikkala. The network helps show where Tapio Pahikkala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tapio Pahikkala, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 44 | |
| 8 | 2019 | 64 | |
| 9 | 2018 | 73 | |
| 10 | 2018 | 30 | |
| 11 | Dynamic forest trafficability prediction by fusion of open data, hydrologic forecasts and harvester-measured data | 2017 | 2 |
| 12 | 2017 | 1 | |
| 13 | RLScore: regularized least-squares learners | 2016 | 18 |
| 14 | 2016 | 13 | |
| 15 | O-CDIO: emphasizing design Thinking in CDIO engineering cycle | 2016 | 11 |
| 16 | Learning monadic and dyadic relations : three case studies in systems biology | 2012 | 1 |
| 17 | Efficient AUC Maximization with Regularized Least-Squares | 2008 | 7 |
| 18 | Advances in Natural Language Processing: 5th International Conference, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings (Lecture Notes in Computer Science) | 2006 | 2 |
| 19 | Advances in natural language processing : 5th International Conference on NLP, FinTAL 2006, Turku, Finland, August 23-25, 2006 : proceedings | 2006 | 2 |
| 20 | Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks. | 2005 | 9 |
About Tapio Pahikkala
Tapio Pahikkala is a scholar working on Health Information Management, Computational Mathematics and Issues, ethics and legal aspects, having authored 148 papers that have together received 3.8k indexed citations. Recurring topics across this work include Face and Expression Recognition (17 papers), Bioinformatics and Genomic Networks (13 papers), Cloud Computing and Resource Management (11 papers), Biomedical Text Mining and Ontologies (11 papers), IoT and Edge/Fog Computing (10 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Machine Learning in Bioinformatics (9 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Computational Theory and Mathematics (662 citations), Computer Networks and Communications (719 citations) and Health Informatics (42 citations). Tapio Pahikkala has collaborated with scholars based in Finland, Pakistan and United States. Frequent co-authors include Antti Airola, Tapio Salakoski, Pasi Liljeberg, Tero Aittokallio, Juha Plosila, Fahimeh Farahnakian, Hannu Tenhunen, Filip Ginter, Jari Björne and Jukka Heikkonen. Their work appears in journals such as Machine Learning, International Journal of Medical Informatics, Analytical Chemistry, BMC Bioinformatics and Journal of Magnetic Resonance Imaging.
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.