Kai Hakala
- Molecular Biology
- Artificial Intelligence top 5%
- Information Systems
- Computational Theory and Mathematics
- Toxicology
- Co-authors
- Filip GinterSampo PyysaloTapio SalakoskiSofie Van LandeghemYves Van de PeerSuwisa KaewphanJari BjörneFarrokh Mehryary
- Topics
- Biomedical Text Mining and Ontologies (15 papers)Topic Modeling (10 papers)Bioinformatics and Genomic Networks (6 papers)
- Partner nations
- FinlandBelgiumUnited States
In The Last Decade
Kai Hakala
17 papers receiving 363 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 257
- Artificial Intelligence 237
- Information Systems 24
- Computational Theory and Mathematics 20
- Toxicology 18
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-authorship network of co-authors of Kai Hakala
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Hakala. A scholar is included among the top collaborators of Kai Hakala 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 Kai Hakala. Kai Hakala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 14 | |
| 3 | 17 | |
| 4 | 60 | |
| 5 | 11 | |
| 6 | 61 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 7 | |
| 17 | EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction | 32 |
| 18 | 79 | |
| 19 | 34 |
About Kai Hakala
Kai Hakala is a scholar working on Issues, ethics and legal aspects, Artificial Intelligence and Molecular Biology, having authored 19 papers that have together received 377 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (10 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (237 citations) and Issues, ethics and legal aspects (7 citations). Kai Hakala has collaborated with scholars based in Finland, Belgium and United States. 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 PLoS ONE, BMC Bioinformatics and Journal of the American Medical Informatics Association.
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.