Thomas Mandl
Impact in
- Artificial Intelligence top 2%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Natural Language Processing Techniques
- Internet Traffic Analysis and Secure E-voting
- Communication top 5%
- Swearing, Euphemism, Multilingualism
Papers in
-
- Semantic Web and Ontologies 19
- Hate Speech and Cyberbullying Detection 16
- Topic Modeling 16
- Natural Language Processing Techniques 13
- Advanced Text Analysis Techniques 11
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- Information Retrieval and Search Behavior 20
- Web Data Mining and Analysis 15
- Co-authors
- Sandip Modha (14 shared papers)Prasenjit Majumder (11 shared papers)Christa Womser‐Hacker (40 shared papers)Bharathi Raja Chakravarthi (4 shared papers)Daksh Patel (3 shared papers)M. Anand Kumar (2 shared papers)Gautam Kishore Shahi (3 shared papers)Nicola Ferro (7 shared papers)
In The Last Decade
Thomas Mandl
121 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 830
- Communication 152
- Information Systems 296
- Signal Processing 97
- Structural Biology 12
Countries citing papers authored by Thomas Mandl
This map shows the geographic impact of Thomas Mandl'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 Thomas Mandl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Mandl more than expected).
Fields of papers citing papers by Thomas Mandl
This network shows the impact of papers produced by Thomas Mandl. 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 Thomas Mandl. The network helps show where Thomas Mandl may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Mandl, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 171 | |
| 2 | 2020 | 115 | |
| 3 | 2020 | 72 | |
| 4 | 2021 | 45 | |
| 5 | Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages. | 2020 | 43 |
| 6 | 2005 | 36 | |
| 7 | 2009 | 36 | |
| 8 | 2022 | 33 | |
| 9 | Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix | 2020 | 30 |
| 10 | 2006 | 30 | |
| 11 | Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada | 2021 | 27 |
| 12 | Filtering Aggression from the Multilingual Social Media Feed | 2018 | 26 |
| 13 | Recent Developments in the Evaluation of Information Retrieval Systems: Moving Towards Diversity and Practical Relevance | 2008 | 26 |
| 14 | 2006 | 24 | |
| 15 | 2000 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2022 | 21 | |
| 18 | 2008 | 19 | |
| 19 | 2020 | 19 | |
| 20 | Overview of the CLEF-2021 CheckThat! Lab: Task 3 on Fake News Detection. | 2021 | 18 |
About Thomas Mandl
Thomas Mandl is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 148 papers that have together received 1.2k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (20 papers), Semantic Web and Ontologies (19 papers), Hate Speech and Cyberbullying Detection (16 papers), Topic Modeling (16 papers), Web Data Mining and Analysis (15 papers), Natural Language Processing Techniques (13 papers), Misinformation and Its Impacts (11 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (830 citations), Communication (152 citations), Information Systems (296 citations), Signal Processing (97 citations) and Structural Biology (12 citations). Thomas Mandl has collaborated with scholars based in Germany, India and Austria. Frequent co-authors include Sandip Modha, Prasenjit Majumder, Christa Womser‐Hacker, Bharathi Raja Chakravarthi, Daksh Patel, M. Anand Kumar, Gautam Kishore Shahi, Nicola Ferro, Marcos Zampieri and Tharindu Ranasinghe. Their work appears in journals such as Education for Information, Language Resources and Evaluation, Social Network Analysis and Mining, Expert Systems with Applications and ACM SIGIR Forum.
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.