Björn Gambäck

2.5k citations
91 papers · 1.5k · 1 hit paper · h-index 18

Impact in

    • Hate Speech and Cyberbullying Detection
    • Natural Language Processing Techniques
    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques
    • Internet Traffic Analysis and Secure E-voting

Papers in

    • Natural Language Processing Techniques 44
    • Topic Modeling 31
    • Speech and dialogue systems 28
    • Sentiment Analysis and Opinion Mining 13
    • Advanced Text Analysis Techniques 10
    • Text and Document Classification Technologies 9
    • Hate Speech and Cyberbullying Detection 9
    • AI in Service Interactions 7

Björn Gambäck

83 papers receiving 1.3k citations

Björn Gambäck's Hit Papers

Using Convolutional Neural Networks to Classify Hate-Speech 2017 · 345 citations
3450+3+6Years since publication100200300

Peers

Björn Gambäck
Comparison fields: 5 of 81
  • Artificial Intelligence 1.3k
  • Communication 118
  • Human-Computer Interaction 65
  • Information Systems 250
  • Signal Processing 115
Replace Thamar Solorio with:
Thamar Solorio United States
Monojit Choudhury India
Muhammad Abdul-Mageed Canada
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Yulia Tsvetkov United States
Kalika Bali India
Patrick Juola United States
Amitava Das India
Lonneke van der Plas Malta
Manuel Montes-y-Gómez Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Björn Gambäck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Björn Gambäck Line = papers co-authored together Björn Gambäck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 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 →
2017345
2 2020109
3
Identifying Languages at the Word Level in Code-Mixed Indian Social Media Text
201486
4 202069
5
Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages
201559
6 201855
7 201950
8
Twitter Topic Modeling by Tweet Aggregation
201740
9
Code-Mixing in Social Media Text: The Last Language Identification Frontier?
201336
10 201036
11 201535
12 199633
13
Comparing the Level of Code-Switching in Corpora.
201630
14 199130
15 202022
16
Spoken Language Translator: First-Year Report
199422
17 200920
18 201118
19 201917
20 201816

About Björn Gambäck

Björn Gambäck is a scholar working on Artificial Intelligence, Information Systems, Social Psychology, Signal Processing and Language and Linguistics, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (44 papers), Topic Modeling (31 papers), Speech and dialogue systems (28 papers), Sentiment Analysis and Opinion Mining (13 papers), Advanced Text Analysis Techniques (10 papers), Text and Document Classification Technologies (9 papers), Hate Speech and Cyberbullying Detection (9 papers) and AI in Service Interactions (7 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Communication (118 citations), Human-Computer Interaction (65 citations), Information Systems (250 citations) and Signal Processing (115 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, Fredrik Olsson, Chhavi Sharma, William G. Scott, P. Viswanath, Manny Rayner and Markku Turunen. Their work appears in journals such as Language Resources and Evaluation, Information Systems Frontiers, IEEE Computational Intelligence Magazine, Violence and Victims and Computer Speech & Language.

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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