Tapio Salakoski

7.9k citations
166 papers · 3.8k indexed · h-index 30
Topics
Biomedical Text Mining and Ontologies (50 papers)Topic Modeling (49 papers)Natural Language Processing Techniques (43 papers)
Partner nations
FinlandPakistanBelgium

In The Last Decade

Tapio Salakoski

157 papers receiving 3.5k citations

Peers

Tapio Salakoski
Comparison fields: 5 of 187
  • Molecular Biology 2.0k
  • Artificial Intelligence 2.0k
  • Computer Science Applications 500
  • Information Systems 248
  • Developmental and Educational Psychology 225
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Citations per field
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Citations per year

Countries citing papers authored by Tapio Salakoski

Since Specialization
Citations

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

Fields of papers citing papers by Tapio Salakoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapio Salakoski

This figure shows the co-authorship network connecting the top 25 collaborators of Tapio Salakoski. A scholar is included among the top collaborators of Tapio 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 Tapio Salakoski. Tapio Salakoski 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
#WorkIndexed citations
1 0
2 1
3 10
4 25
5
O-CDIO: emphasizing design Thinking in CDIO engineering cycle
11
6
EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction
32
7
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
62
8
TEES 2.1: Automated Annotation Scheme Learning in the BioNLP 2013 Shared Task
75
9
Learning monadic and dyadic relations : three case studies in systems biology
1
10
PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations
9
11
Generalizing Biomedical Event Extraction
98
12
EVEX: A PubMed-Scale Resource for Homology-Based Generalization of Text Mining Predictions
26
13
Dependency-Based PropBanking of Clinical Finnish
10
14 17
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Efficient AUC Maximization with Regularized Least-Squares
7
16
THE IMPACT OF PRIOR EXPERIENCE IN USING A VISUALIZATION TOOL ON LEARNING TO PROGRAM
10
17
Advances in Natural Language Processing: 5th International Conference, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings (Lecture Notes in Computer Science)
2
18
Advances in natural language processing : 5th International Conference on NLP, FinTAL 2006, Turku, Finland, August 23-25, 2006 : proceedings
2
19
Why complicate things?: introducing programming in high school using Python
72
20
Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks.
9

About Tapio Salakoski

Tapio Salakoski is a scholar working on Issues, ethics and legal aspects, Computer Science Applications and Software, having authored 166 papers that have together received 3.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (50 papers), Topic Modeling (49 papers) and Natural Language Processing Techniques (43 papers). The work is most often cited by research in Health Informatics (167 citations), Computer Science Applications (500 citations) and Artificial Intelligence (2.0k citations). Tapio Salakoski has collaborated with scholars based in Finland, Pakistan and Belgium. Frequent co-authors include Jari Björne, Filip Ginter, Antti Airola, Sampo Pyysalo, Tapio Pahikkala, Juho Heimonen, Jorma Boberg, Mikko‐Jussi Laakso, Erkki Kaila and Jouni Järvinen. Their work appears in journals such as Bioinformatics, PLoS ONE and Chemosphere.

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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