T. Salakoski
- Artificial Intelligence top 5%
- Molecular Biology
- Computational Theory and Mathematics
- Computer Science Applications top 10%
- Developmental and Educational Psychology
- Co-authors
- Filip GinterSophia AnaniadouSampo PyysaloHans MoenErkki KailaMikko‐Jussi LaaksoTeemu RajalaBernard De Baets
- Topics
- Bayesian Modeling and Causal Inference (2 papers)Biomedical and Engineering Education (1 paper)Educational Games and Gamification (1 paper)
- Journals
- IEEE Transactions on Biomedical EngineeringIEEE Transactions on Fuzzy SystemsInformatics in Education
- Partner nations
- FinlandBelgiumUnited Kingdom
In The Last Decade
T. Salakoski
6 papers receiving 289 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 246
- Molecular Biology 207
- Computational Theory and Mathematics 30
- Computer Science Applications 23
- Developmental and Educational Psychology 13
Countries citing papers authored by T. Salakoski
This map shows the geographic impact of T. Salakoski'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 T. Salakoski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Salakoski more than expected).
Fields of papers citing papers by T. Salakoski
This network shows the impact of papers produced by T. Salakoski. 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 T. Salakoski. The network helps show where T. Salakoski may publish in the future.
Co-authorship network of co-authors of T. Salakoski
This figure shows the co-authorship network connecting the top 25 collaborators of T. Salakoski. A scholar is included among the top collaborators of T. Salakoski 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 T. Salakoski. T. Salakoski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distributional Semantics Resources for Biomedical Text Processing | 266 |
| 2 | 14 | |
| 3 | From ranking to intransitive preference learning: rock-paper-scissors and beyond | 2 |
| 4 | 21 | |
| 5 | 1 | |
| 6 | 9 |
About T. Salakoski
T. Salakoski is a scholar working on Computer Science Applications, Hardware and Architecture and Artificial Intelligence, having authored 6 papers that have together received 313 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (2 papers), Biomedical and Engineering Education (1 paper) and Educational Games and Gamification (1 paper). The work is most often cited by research in Artificial Intelligence (246 citations), Computer Science Applications (23 citations) and Molecular Biology (207 citations). T. Salakoski has collaborated with scholars based in Finland, Belgium and United Kingdom. Frequent co-authors include Filip Ginter, Sophia Ananiadou, Sampo Pyysalo, Hans Moen, Erkki Kaila, Mikko‐Jussi Laakso, Teemu Rajala, Bernard De Baets, Willem Waegeman and Tapio Pahikkala. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Fuzzy Systems and Informatics in Education.
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.