Debora Nozza
- Artificial Intelligence top 1%
- Hate Speech and Cyberbullying Detection 18
- Topic Modeling 14
- Sentiment Analysis and Opinion Mining 6
- Text Readability and Simplification 4
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 3
- Health Informatics top 5%
- Communication top 5%
- Swearing, Euphemism, Multilingualism 3
- General Social Sciences top 2%
- Information Systems top 5%
- Software Engineering Research 2
- Co-authors
- Elisabetta FersiniCristina BoscoValerio BasilePaolo RossoFrancisco M. Rangel PardoViviana PattiManuela SanguinettiDirk Hovy
- Journals
- Information Sciences (1 paper)Information Processing & Management (1 paper)BOA (University of Milano-Bicocca) (10 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Debora Nozza
35 papers receiving 968 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 906
- Health Informatics 27
- Communication 127
- General Social Sciences 24
- Information Systems 139
Countries citing papers authored by Debora Nozza
This map shows the geographic impact of Debora Nozza'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 Debora Nozza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Nozza more than expected).
Fields of papers citing papers by Debora Nozza
This network shows the impact of papers produced by Debora Nozza. 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 Debora Nozza. The network helps show where Debora Nozza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Debora Nozza, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 0 | |
| 6 | Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scalebreakdown → | 2023 | 118 |
| 7 | 2023 | 20 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 21 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 40 | |
| 18 | MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? | 2021 | 2 |
| 19 | SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitterbreakdown → | 2019 | 509 |
| 20 | 2016 | 21 |
About Debora Nozza
Debora Nozza is a scholar working on Artificial Intelligence, Communication, General Social Sciences, Software and Information Systems, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (18 papers), Topic Modeling (14 papers), Sentiment Analysis and Opinion Mining (6 papers), Text Readability and Simplification (4 papers), Natural Language Processing Techniques (4 papers), Swearing, Euphemism, Multilingualism (3 papers), Advanced Text Analysis Techniques (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Artificial Intelligence (906 citations), Health Informatics (27 citations), Communication (127 citations), General Social Sciences (24 citations) and Information Systems (139 citations). Debora Nozza has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Elisabetta Fersini, Cristina Bosco, Valerio Basile, Paolo Rosso, Francisco M. Rangel Pardo, Viviana Patti, Manuela Sanguinetti, Dirk Hovy, Federico Bianchi and Enza Messina. Their work appears in journals such as Information Sciences, Information Processing & Management, BOA (University of Milano-Bicocca), Building Simulation Conference proceedings and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
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.