Kai Hakala
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Health Informatics top 10%
Papers in
-
- Biomedical Text Mining and Ontologies 17
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 3
- Bioinformatics and Genomic Networks 3
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- Nursing Diagnosis and Documentation 3
- Co-authors
- Filip Ginter (16 shared papers)Sampo Pyysalo (3 shared papers)Tapio Salakoski (12 shared papers)Sofie Van Landeghem (4 shared papers)Yves Van de Peer (4 shared papers)Suwisa Kaewphan (7 shared papers)Jari Björne (3 shared papers)Farrokh Mehryary (5 shared papers)
- Journals
- Genome biology (2 papers)Journal of the American Medical Informatics Association (2 papers)Journal of Biomedical Semantics (2 papers)IEEE Transactions on Computational Biology and Bioinformatics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- FinlandUnited KingdomBelgium
In The Last Decade
Kai Hakala
20 papers receiving 999 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 807
- Health Informatics 18
- Toxicology 28
- Artificial Intelligence 132
- Issues, ethics and legal aspects 4
Countries citing papers authored by Kai Hakala
This map shows the geographic impact of Kai Hakala'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 Kai Hakala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hakala more than expected).
Fields of papers citing papers by Kai Hakala
This network shows the impact of papers produced by Kai Hakala. 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 Kai Hakala. The network helps show where Kai Hakala may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hakala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 315 | |
| 2 | 2016 | 292 | |
| 3 | 2013 | 88 | |
| 4 | 2018 | 68 | |
| 5 | 2019 | 66 | |
| 6 | 2012 | 36 | |
| 7 | EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction | 2013 | 32 |
| 8 | 2016 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2015 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 2015 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2016 | 1 |
About Kai Hakala
Kai Hakala is a scholar working on Molecular Biology, Issues, ethics and legal aspects, Artificial Intelligence, Toxicology and Literature and Literary Theory, having authored 23 papers that have together received 1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Nursing Diagnosis and Documentation (3 papers), Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (3 papers), Machine Learning in Healthcare (3 papers), Bioinformatics and Genomic Networks (3 papers), Text and Document Classification Technologies (2 papers) and Mental Health via Writing (1 paper). The work is most often cited by research in Molecular Biology (807 citations), Health Informatics (18 citations), Toxicology (28 citations), Artificial Intelligence (132 citations) and Issues, ethics and legal aspects (4 citations). Kai Hakala has collaborated with scholars based in Finland, United Kingdom and Belgium. Frequent co-authors include Filip Ginter, Sampo Pyysalo, Tapio Salakoski, Sofie Van Landeghem, Yves Van de Peer, Suwisa Kaewphan, Jari Björne, Farrokh Mehryary, Hung‐Yu Kao and Chih-Hsuan Wei. Their work appears in journals such as Genome biology, Journal of the American Medical Informatics Association, Journal of Biomedical Semantics, IEEE Transactions on Computational Biology and Bioinformatics and BMC Bioinformatics.
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.