Shaden Shaar
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection 6
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 4
- Advanced Text Analysis Techniques 1
- Sociology and Political Science top 10%
- Misinformation and Its Impacts 12
-
- Social Media and Politics 1
- Information Systems top 10%
- Spam and Phishing Detection 5
-
- Vaccine Coverage and Hesitancy 1
- Co-authors
- Preslav NakovGiovanni Da San MartinoFiroj AlamDimitar DimitrovFabrizio SilvestriHamed FiroozMaram HasanainAlberto Barrón‐Cedeño
- Journals
- Padua Research Archive (University of Padova) (1 paper)University of Groningen research database (University of Groningen / Centre for Information Technology) (1 paper)arXiv (Cornell University) (1 paper)
In The Last Decade
Shaden Shaar
13 papers receiving 288 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 244
- Sociology and Political Science 238
- Communication 28
- Information Systems 82
- Signal Processing 21
Countries citing papers authored by Shaden Shaar
This map shows the geographic impact of Shaden Shaar'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 Shaden Shaar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaden Shaar more than expected).
Fields of papers citing papers by Shaden Shaar
This network shows the impact of papers produced by Shaden Shaar. 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 Shaden Shaar. The network helps show where Shaden Shaar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaden Shaar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 6 | |
| 2 | 2021 | 48 | |
| 3 | 2021 | 7 | |
| 4 | BeaSku at CheckThat! 2021: Fine-tuning sentence BERT with triplet loss and limited data | 2021 | 2 |
| 5 | Overview of the CLEF-2021 CheckThat! Lab Task 1 on check-worthiness estimation in tweets and political debates | 2021 | 13 |
| 6 | 2021 | 14 | |
| 7 | 2021 | 51 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 88 | |
| 11 | 2021 | 45 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 1 |
About Shaden Shaar
Shaden Shaar is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems, having authored 13 papers that have together received 309 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (12 papers), Hate Speech and Cyberbullying Detection (6 papers), Spam and Phishing Detection (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (4 papers), Social Media and Politics (1 paper), Advanced Text Analysis Techniques (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Artificial Intelligence (244 citations), Sociology and Political Science (238 citations) and Communication (28 citations). Shaden Shaar has collaborated with scholars based in Italy, Bulgaria and Qatar. Frequent co-authors include Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Dimitar Dimitrov, Fabrizio Silvestri, Hamed Firooz, Maram Hasanain, Alberto Barrón‐Cedeño, Tamer Elsayed and Paolo Papotti. Their work appears in journals such as Padua Research Archive (University of Padova), University of Groningen research database (University of Groningen / Centre for Information Technology) and arXiv (Cornell University).
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.