Thomas Forss
Thomas Forss publishes mostly in Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics, on topics such as Sentiment Analysis and Opinion Mining, Spam and Phishing Detection and Text and Document Classification Technologies.
- World rank
- #3,327,275 of 7,710,434 ranked researchers
- Rank in Finland
- #19,986 of 37,370
- Works
- 17
- Citations
- 135
- Citations per work
- 7.9
What does Thomas Forss research?
Thomas Forss's work is mostly in Computer Science (75%), Physics and Astronomy (9%), Economics, Econometrics and Finance (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1484.1%
- Computer Science1375.0%
- Physics and Astronomy29.1%
- Social Sciences29.1%
- Everything else16.8%
- 1Artificial Intelligence46% of their works
- 2Information Systems25% of their works
- 3Statistical and Nonlinear Physics9% of their works
- 4Economics and Econometrics7% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Communication2% of their works
Research topics
Which keywords describe Thomas Forss's research?
The keywords of their largest research topics: Machine Learning, Information Retrieval, Deep Learning, Social Media, Text Classification, Opinion Mining, Phishing and Sentiment Analysis.
- Word Representation
- Machine Translation
- Extraction
- Community Structure
- Web Data Extraction
- Neural Networks
- Feature Selection
- Sentiment Analysis
- Opinion Mining
- Social Media
- Information Retrieval
- Machine Learning
- Deep Learning
- Text Classification
- Phishing
- Spam Detection
- Multi-label Learning
- Web Crawling
- Automatic
- Detection
- Hate Speech
- Network Dynamics
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 22 words, with their numbers
- Machine Learning123 topics
- Information Retrieval103 topics
- Deep Learning72 topics
- Social Media72 topics
- Text Classification62 topics
- Opinion Mining51 topic
- Phishing51 topic
- Sentiment Analysis51 topic
- Spam Detection51 topic
- Feature Selection41 topic
- Multi-label Learning41 topic
- Neural Networks42 topics
- Web Crawling41 topic
- Web Data Extraction41 topic
- Automatic21 topic
- Community Structure21 topic
- Detection21 topic
- Extraction21 topic
- Hate Speech21 topic
- Machine Translation21 topic
- Network Dynamics21 topic
- Word Representation21 topic
Where does Thomas Forss work?
Thomas Forss's main affiliation in the publication record is Arcada University of Applied Sciences, Finland.
How many publications and citations does Thomas Forss have?
OpenAlex counts 17 works and 135 citations for Thomas Forss, an h-index of 4, ranking #3,327,275 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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