Nithum Thain
Impact in
- Artificial Intelligence top 1%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Adversarial Robustness in Machine Learning
- Natural Language Processing Techniques
- Communication top 2%
- Social Media and Politics
Papers in
-
- Hate Speech and Cyberbullying Detection 12
- Topic Modeling 7
- Text Readability and Simplification 2
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- Wikis in Education and Collaboration 4
- Co-authors
- Lucas Dixon (14 shared papers)Ellery Wulczyn (3 shared papers)Jeffrey Sorensen (4 shared papers)Lucy Vasserman (2 shared papers)John Li (1 shared paper)Cristian Danescu-Niculescu-Mizil (2 shared papers)Dario Taraborelli (2 shared papers)Yiqing Hua (2 shared papers)
- Journals
- First Monday (1 paper)Social Science Computer Review (1 paper)Infection Genetics and Evolution (1 paper)Lecture notes in computer science (4 papers)American Mathematical Monthly (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nithum Thain
23 papers receiving 1.2k citations
Nithum Thain's Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 1.1k
- Communication 218
- Safety Research 109
- Health Informatics 15
- Information Systems 263
Countries citing papers authored by Nithum Thain
This map shows the geographic impact of Nithum Thain'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 Nithum Thain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nithum Thain more than expected).
Fields of papers citing papers by Nithum Thain
This network shows the impact of papers produced by Nithum Thain. 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 Nithum Thain. The network helps show where Nithum Thain may publish in the future.
Co-authors
The 25 scholars most cited alongside Nithum Thain, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ex Machina Hit paper breakdown → | 2017 | 426 |
| 2 | Measuring and Mitigating Unintended Bias in Text Classification Hit paper breakdown → | 2018 | 383 |
| 3 | 2019 | 167 | |
| 4 | 2018 | 114 | |
| 5 | 2019 | 40 | |
| 6 | 2019 | 37 | |
| 7 | 2020 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2021 | 13 | |
| 11 | 2012 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2007 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2006 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Nithum Thain
Nithum Thain is a scholar working on Artificial Intelligence, Communication, Information Systems, Molecular Biology and Management Science and Operations Research, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (12 papers), Topic Modeling (7 papers), Wikis in Education and Collaboration (4 papers), Game Theory and Applications (2 papers), Software Engineering Research (2 papers), Cancer-related gene regulation (2 papers), Spam and Phishing Detection (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Communication (218 citations), Safety Research (109 citations), Health Informatics (15 citations) and Information Systems (263 citations). Nithum Thain has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lucas Dixon, Ellery Wulczyn, Jeffrey Sorensen, Lucy Vasserman, John Li, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Yiqing Hua, Justine Zhang and John Pavlopoulos. Their work appears in journals such as First Monday, Social Science Computer Review, Infection Genetics and Evolution, Lecture notes in computer science and American Mathematical Monthly.
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.