Tapio Pahikkala

6.0k total citations · 2 hit papers
148 papers, 3.8k citations indexed

About

Tapio Pahikkala is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tapio Pahikkala has authored 148 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 31 papers in Molecular Biology and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tapio Pahikkala's work include Face and Expression Recognition (17 papers), Bioinformatics and Genomic Networks (13 papers) and Cloud Computing and Resource Management (11 papers). Tapio Pahikkala is often cited by papers focused on Face and Expression Recognition (17 papers), Bioinformatics and Genomic Networks (13 papers) and Cloud Computing and Resource Management (11 papers). Tapio Pahikkala collaborates with scholars based in Finland, Pakistan and United States. Tapio Pahikkala's co-authors include Antti Airola, Tapio Salakoski, Pasi Liljeberg, Tero Aittokallio, Juha Plosila, Fahimeh Farahnakian, Hannu Tenhunen, Filip Ginter, Jari Björne and Jukka Heikkonen and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Tapio Pahikkala

140 papers receiving 3.7k citations

Hit Papers

Toward more realistic drug-target interaction predictions 2014 2026 2018 2022 2014 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Toward more realistic drug-target interaction predictions
    2014 379 citations Tapio Pahikkala, Antti Airola et al. profile →
  2. Using Ant Colony System to Consolidate VMs for Green Cloud Computing
    2014 249 citations Fahimeh Farahnakian, Tapio Pahikkala et al. profile →

Peers

Tapio Pahikkala
Ioannis Tsamardinos Greece
Jesse Davis Belgium
Mark Goadrich United States
Aidong Zhang United States
Shulin Wang China
Jiayu Zhou United States
Verónica Bolón‐Canedo Spain
Iñaki Inza Spain
Yanchun Liang China
Yanda Li China
Ioannis Tsamardinos Greece
Tapio Pahikkala
Citations per year, relative to Tapio Pahikkala Tapio Pahikkala (= 1×) peers Ioannis Tsamardinos

Countries citing papers authored by Tapio Pahikkala

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tapio Pahikkala

This figure shows the co-authorship network connecting the top 25 collaborators of Tapio Pahikkala. A scholar is included among the top collaborators of Tapio Pahikkala 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 Tapio Pahikkala. Tapio Pahikkala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pahikkala, Tapio, et al.. (2025). Securing deep learning models with differential privacy for cardiovascular disease prediction. Biomedical Signal Processing and Control. 112. 108502–108502.
2.
Movahedi, Parisa, et al.. (2024). Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data. IEEE Access. 12. 118637–118648. 1 indexed citations
3.
Szedmák, Sándor, Haishan Wang, Tero Aittokallio, et al.. (2021). Modeling drug combination effects via latent tensor reconstruction. Bioinformatics. 37(Supplement_1). i93–i101. 14 indexed citations
4.
Virtanen, Seppo, et al.. (2021). A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks. IEEE Access. 9. 152792–152802. 3 indexed citations
5.
Sairanen, Mikko, et al.. (2021). Adaptive risk prediction system with incremental and transfer learning. Computers in Biology and Medicine. 138. 104886–104886. 5 indexed citations
6.
7.
Sairanen, Mikko, et al.. (2020). Synthetic minority oversampling of vital statistics data with generative adversarial networks. Journal of the American Medical Informatics Association. 27(11). 1667–1674. 44 indexed citations
8.
Azimi, Iman, Tapio Pahikkala, Amir M. Rahmani, et al.. (2019). Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health. Future Generation Computer Systems. 96. 297–308. 64 indexed citations
9.
Talman, Virpi, Päivi Pöhö, Parisa Movahedi, et al.. (2018). Molecular Atlas of Postnatal Mouse Heart Development. Journal of the American Heart Association. 7(20). e010378–e010378. 73 indexed citations
10.
Movahedi, Parisa, Jouko Yliruusi, Anne Juppo, et al.. (2018). Time-Gated Raman Spectroscopy for Quantitative Determination of Solid-State Forms of Fluorescent Pharmaceuticals. Analytical Chemistry. 90(7). 4832–4839. 30 indexed citations
11.
Salmivaara, Aura, Samuli Launiainen, Jari Ala‐Ilomäki, et al.. (2017). Dynamic forest trafficability prediction by fusion of open data, hydrologic forecasts and harvester-measured data. Jukuri (Natural Resources Institute Finland (Luke)). 2 indexed citations
12.
Airola, Antti, et al.. (2017). A/B-Test of Retention and Monetization Using the Cox Model. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(1). 248–254. 1 indexed citations
13.
Pahikkala, Tapio & Antti Airola. (2016). RLScore: regularized least-squares learners. Journal of Machine Learning Research. 17(1). 7803–7807. 18 indexed citations
14.
Farahnakian, Fahimeh, Rami Bahsoon, Pasi Liljeberg, & Tapio Pahikkala. (2016). Self-Adaptive Resource Management System in IaaS Clouds. University of Birmingham Research Portal (University of Birmingham). 553–560. 13 indexed citations
15.
Eskandari, Mona, et al.. (2016). O-CDIO: emphasizing design Thinking in CDIO engineering cycle. International journal of engineering education. 32(3). 1530–1539. 11 indexed citations
16.
Stock, Michiel, Tapio Pahikkala, Antti Airola, et al.. (2012). Learning monadic and dyadic relations : three case studies in systems biology. Ghent University Academic Bibliography (Ghent University). 74–84. 1 indexed citations
17.
Pahikkala, Tapio, Antti Airola, Hanna Suominen, Jorma Boberg, & Tapio Salakoski. (2008). Efficient AUC Maximization with Regularized Least-Squares. 12–19. 7 indexed citations
18.
Salakoski, Tapio, et al.. (2006). Advances in Natural Language Processing: 5th International Conference, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings (Lecture Notes in Computer Science). Springer eBooks. 2 indexed citations
19.
Salakoski, Tapio, et al.. (2006). Advances in natural language processing : 5th International Conference on NLP, FinTAL 2006, Turku, Finland, August 23-25, 2006 : proceedings. Springer eBooks. 2 indexed citations
20.
Pahikkala, Tapio, Sampo Pyysalo, Filip Ginter, et al.. (2005). Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks.. The Florida AI Research Society. 442–448. 9 indexed citations

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.

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