Björn Gambäck
Impact in
- Artificial Intelligence top 0.5%
- Hate Speech and Cyberbullying Detection
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
- Text and Document Classification Technologies
Papers in
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- Natural Language Processing Techniques 31
- Sentiment Analysis and Opinion Mining 14
- Speech and dialogue systems 9
- Topic Modeling 8
- Hate Speech and Cyberbullying Detection 6
- Speech Recognition and Synthesis 4
- Text and Document Classification Technologies 2
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- Music Technology and Sound Studies 2
- Co-authors
- Utpal Kumar Sikdar (10 shared papers)Amitava Das (19 shared papers)Srinivas Pykl (3 shared papers)Tanmoy Chakraborty (3 shared papers)Viswanath Pulabaigari (1 shared paper)Markku Turunen (5 shared papers)Thamar Solorio (1 shared paper)Lars Asker (6 shared papers)
In The Last Decade
Björn Gambäck
94 papers receiving 1.7k citations
Björn Gambäck's Hit Papers
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 1.4k
- Linguistics and Language 8
- Communication 12
- General Social Sciences 3
- Human-Computer Interaction 10
Countries citing papers authored by Björn Gambäck
This map shows the geographic impact of Björn Gambäck'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 Björn Gambäck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn Gambäck more than expected).
Fields of papers citing papers by Björn Gambäck
This network shows the impact of papers produced by Björn Gambäck. 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 Björn Gambäck. The network helps show where Björn Gambäck may publish in the future.
Co-authors
The 25 scholars most cited alongside Björn Gambäck, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using Convolutional Neural Networks to Classify Hate-Speech Hit paper breakdown → | 2017 | 420 |
| 2 | 2020 | 144 | |
| 3 | 2020 | 110 | |
| 4 | Identifying Languages at the Word Level in Code-Mixed Indian Social Media Text | 2014 | 102 |
| 5 | 2018 | 78 | |
| 6 | Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages | 2015 | 71 |
| 7 | 2019 | 63 | |
| 8 | Twitter Topic Modeling by Tweet Aggregation | 2017 | 45 |
| 9 | 2015 | 44 | |
| 10 | 2010 | 42 | |
| 11 | Code-Mixing in Social Media Text: The Last Language Identification Frontier? | 2013 | 42 |
| 12 | 2016 | 39 | |
| 13 | 1996 | 36 | |
| 14 | 1991 | 29 | |
| 15 | 2011 | 28 | |
| 16 | 2020 | 28 | |
| 17 | Poetic Machine: Computational Creativity for Automatic Poetry Generation in Bengali. | 2014 | 24 |
| 18 | 2009 | 23 | |
| 19 | 2011 | 20 | |
| 20 | 2018 | 20 |
About Björn Gambäck
Björn Gambäck is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cultural Studies, Signal Processing and Statistical and Nonlinear Physics, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Sentiment Analysis and Opinion Mining (14 papers), Speech and dialogue systems (9 papers), Topic Modeling (8 papers), Hate Speech and Cyberbullying Detection (6 papers), Speech Recognition and Synthesis (4 papers), Music Technology and Sound Studies (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Linguistics and Language (8 citations), Communication (12 citations), General Social Sciences (3 citations) and Human-Computer Interaction (10 citations). Björn Gambäck has collaborated with scholars based in Norway, Sweden and India. Frequent co-authors include Utpal Kumar Sikdar, Amitava Das, Srinivas Pykl, Tanmoy Chakraborty, Viswanath Pulabaigari, Markku Turunen, Thamar Solorio, Lars Asker, Parth Patwa and Gustavo Aguilar. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science, AI Magazine, IEEE Transactions on Affective Computing and Information Retrieval.
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.