Antti Airola

3.6k total citations · 1 hit paper
84 papers, 2.1k citations indexed

About

Antti Airola is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Antti Airola has authored 84 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 18 papers in Molecular Biology and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Antti Airola's work include Face and Expression Recognition (14 papers), Biomedical Text Mining and Ontologies (8 papers) and Bioinformatics and Genomic Networks (8 papers). Antti Airola is often cited by papers focused on Face and Expression Recognition (14 papers), Biomedical Text Mining and Ontologies (8 papers) and Bioinformatics and Genomic Networks (8 papers). Antti Airola collaborates with scholars based in Finland, Belgium and Germany. Antti Airola's co-authors include Tapio Pahikkala, Tapio Salakoski, Filip Ginter, Jari Björne, Tero Aittokallio, Sampo Pyysalo, Juho Heimonen, Sushil Kumar Shakyawar, Jing Tang and Samuli Pietilä and has published in prestigious journals such as Bioinformatics, The Journal of Clinical Endocrinology & Metabolism and Chemosphere.

In The Last Decade

Antti Airola

73 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Toward more realistic drug-target interaction predictions

2014 379 citations Tapio Pahikkala, Antti Airola et al. profile →

Peers

Countries citing papers authored by Antti Airola

Since Specialization

Citations

This map shows the geographic impact of Antti Airola'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 Antti Airola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antti Airola more than expected).

Fields of papers citing papers by Antti Airola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antti Airola. 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 Antti Airola. The network helps show where Antti Airola may publish in the future.

Co-authorship network of co-authors of Antti Airola

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit 2025 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Arman Anzanpour, (unknown), Olli Lahdenoja, (unknown), Iván Castro, Tom Torfs, Marcel C.G. van de Poll, Antti Airola, Matti Kaisti, Tero Koivisto	0
2	Securing deep learning models with differential privacy for cardiovascular disease prediction 2025 ·Biomedical Signal Processing and Control ·(unknown), (unknown), Tapio Pahikkala, Matti Kaisti, Antti Airola	0
3	Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data 2024 ·IEEE Access ·Parisa Movahedi, (unknown), Ileana Montoya Perez, (unknown), (unknown), Tapio Pahikkala, Antti Airola	1
4	Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines 2023 ·Journal of Signal Processing Systems ·(unknown), (unknown), (unknown), (unknown), Antti Airola, Tero Säntti	2
5	Evaluating Classifiers Trained on Differentially Private Synthetic Health Data 2023 ·Parisa Movahedi, (unknown), Ileana Montoya Perez, Tapio Pahikkala, Antti Airola	4
6	Higher Education during Lockdown: Literature Review and Implications on Technology Design 2022 ·Education Research International ·Samuli Laato, Ali Farooq, (unknown), Antti Airola, Mari Murtonen	10
7	Multichannel Bed Based Ballistocardiography Heart Rate Estimation using Continuous Wavelet Transforms and Autocorrelation 2022 ·Computing in cardiology ·(unknown), Tero Hurnanen, (unknown), Olli Lahdenoja, Antti Airola, Matti Kaisti, Tero Koivisto	2
8	Adaptive risk prediction system with incremental and transfer learning 2021 ·Computers in Biology and Medicine ·(unknown), Mikko Sairanen, Antti Airola, Tapio Pahikkala, (unknown), (unknown), Daljit Singh Sahota	5
9	Synthetic minority oversampling of vital statistics data with generative adversarial networks 2020 ·Journal of the American Medical Informatics Association ·(unknown), Mikko Sairanen, Antti Airola, Tapio Pahikkala	44
10	Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multilabel Learning Approach 2020 ·IEEE Sensors Journal ·(unknown), Olli Lahdenoja, Matti Kaisti, Mojtaba Jafari Tadi, Tero Hurnanen, Antti Airola, Timo Knuutila, Jussi Jaakkola, Samuli Jaakkola, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä	25
11	Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets 2019 ·International Journal of Medical Informatics ·(unknown), (unknown), Antti Airola, Teemu D. Laajala, Tuomas Mirtti, Tero Aittokallio, Tapio Pahikkala	11
12	A/B-Test of Retention and Monetization Using the Cox Model 2017 ·Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment ·(unknown), Antti Airola, Jukka Heikkonen, Tapio Pahikkala	1
13	RLScore: regularized least-squares learners 2016 ·Journal of Machine Learning Research ·Tapio Pahikkala, Antti Airola	18
14	O-CDIO: emphasizing design Thinking in CDIO engineering cycle 2016 ·International journal of engineering education ·(unknown), Mona Eskandari, Antti Airola, Tapio Pahikkala, Tapio Salakoski	11
15	Regularized Machine Learning in the Genetic Prediction of Complex Traits 2014 ·PLoS Genetics ·(unknown), Tapio Pahikkala, Antti Airola, Tapio Salakoski, Samuli Ripatti, Tero Aittokallio	102
16	Learning monadic and dyadic relations : three case studies in systems biology 2012 ·Ghent University Academic Bibliography (Ghent University) ·Michiel Stock, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets, Willem Waegeman	1
17	Speeding Up Greedy Forward Selection for Regularized Least-Squares 2010 ·Tapio Pahikkala, Antti Airola, Tapio Salakoski	17
18	Efficient AUC Maximization with Regularized Least-Squares 2008 ·Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski	7
19	All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning 2008 ·BMC Bioinformatics ·Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski	223
20	Comparative analysis of five protein-protein interaction corpora 2008 ·BMC Bioinformatics ·Sampo Pyysalo, Antti Airola, Juho Heimonen, Jari Björne, Filip Ginter, Tapio Salakoski	178

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.

Explore authors with similar magnitude of impact