Tharindu Ranasinghe

772 citations
42 papers · 307 · h-index 9

Impact in

    • Hate Speech and Cyberbullying Detection
    • Topic Modeling
    • Natural Language Processing Techniques
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Swearing, Euphemism, Multilingualism

Papers in

    • Hate Speech and Cyberbullying Detection 21
    • Topic Modeling 19
    • Natural Language Processing Techniques 17
    • Text Readability and Simplification 6
    • Advanced Text Analysis Techniques 3
    • Swearing, Euphemism, Multilingualism 4

Tharindu Ranasinghe

39 papers receiving 292 citations

Peers

Tharindu Ranasinghe
Comparison fields: 5 of 49
  • Artificial Intelligence 282
  • Communication 43
  • General Social Sciences 8
  • Information Systems 42
  • Signal Processing 19
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Citations per field
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Citations per year

Countries citing papers authored by Tharindu Ranasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Tharindu Ranasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tharindu Ranasinghe, 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 Tharindu Ranasinghe Line = papers co-authored together Tharindu Ranasinghe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202143
2 201937
3 202128
4
BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification.
201926
5 202124
6 202222
7 201920
8 202213
9
RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language.
20199
10 20237
11 20237
12 20227
13 20196
14 20216
15 20225
16 20235
17 20244
18
RGCL at GermEval 2019: Offensive Language Detection with Deep Learning.
20194
19 20244
20 20233

About Tharindu Ranasinghe

Tharindu Ranasinghe is a scholar working on Artificial Intelligence, Communication, Molecular Biology, Social Psychology and Sociology and Political Science, having authored 42 papers that have together received 307 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (21 papers), Topic Modeling (19 papers), Natural Language Processing Techniques (17 papers), Text Readability and Simplification (6 papers), Swearing, Euphemism, Multilingualism (4 papers), Advanced Text Analysis Techniques (3 papers), Bullying, Victimization, and Aggression (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (282 citations), Communication (43 citations), General Social Sciences (8 citations), Information Systems (42 citations) and Signal Processing (19 citations). Tharindu Ranasinghe has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Marcos Zampieri, Ruslan Mitkov, Constantin Orǎsan, Thomas Mandl, Sandip Modha, Christopher M. Homan, Gautam Kishore Shahi, Preslav Nakov, Sara Rosenthal and Prasenjit Majumder. Their work appears in journals such as Journal of Intelligent Information Systems, Social Network Analysis and Mining, Natural Language Engineering, Language Resources and Evaluation and Knowledge and Information Systems.

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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