Thomas Mandl
Impact in
- Artificial Intelligence top 1%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Information Systems top 1%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
-
- Topic Modeling 35
- Semantic Web and Ontologies 35
- Natural Language Processing Techniques 26
- Hate Speech and Cyberbullying Detection 20
- Advanced Text Analysis Techniques 12
-
- Information Retrieval and Search Behavior 43
- Web Data Mining and Analysis 27
- Co-authors
- Sandip Modha (14 shared papers)Christa Womser‐Hacker (71 shared papers)Prasenjit Majumder (11 shared papers)Giorgio Maria Di Nunzio (17 shared papers)Nicola Ferro (13 shared papers)C Peters (9 shared papers)Bharathi Raja Chakravarthi (4 shared papers)Daksh Patel (3 shared papers)
In The Last Decade
Thomas Mandl
191 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 1.5k
- Information Systems 695
- Communication 214
- Geography, Planning and Development 117
- Signal Processing 206
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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2009 | 133 | |
| 3 | 2020 | 126 | |
| 4 | 2008 | 80 | |
| 5 | 2020 | 78 | |
| 6 | 2021 | 55 | |
| 7 | 2021 | 54 | |
| 8 | 2009 | 51 | |
| 9 | Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages. | 2020 | 48 |
| 10 | 2021 | 48 | |
| 11 | 2005 | 45 | |
| 12 | 2007 | 41 | |
| 13 | 2006 | 41 | |
| 14 | 2008 | 38 | |
| 15 | Recent Developments in the Evaluation of Information Retrieval Systems: Moving Towards Diversity and Practical Relevance | 2008 | 35 |
| 16 | 2022 | 34 | |
| 17 | Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix | 2020 | 32 |
| 18 | 2006 | 32 | |
| 19 | 2017 | 29 | |
| 20 | Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada | 2021 | 28 |
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 229 papers that have together received 2.2k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (43 papers), Topic Modeling (35 papers), Semantic Web and Ontologies (35 papers), Web Data Mining and Analysis (27 papers), Natural Language Processing Techniques (26 papers), Hate Speech and Cyberbullying Detection (20 papers), Misinformation and Its Impacts (17 papers) and Advanced Text Analysis Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Information Systems (695 citations), Communication (214 citations), Geography, Planning and Development (117 citations) and Signal Processing (206 citations). Thomas Mandl has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include Sandip Modha, Christa Womser‐Hacker, Prasenjit Majumder, Giorgio Maria Di Nunzio, Nicola Ferro, C Peters, Bharathi Raja Chakravarthi, Daksh Patel, M. Anand Kumar and Gautam Kishore Shahi. Their work appears in journals such as Lecture notes in computer science, Education for Information, Language Resources and Evaluation, Pattern Recognition Letters and Social Network Analysis and Mining.
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.