Timothy Niven
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Explainable Artificial Intelligence (XAI)
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- Software Engineering Research
Papers in
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- Topic Modeling 2
- Natural Language Processing Techniques 2
- Hate Speech and Cyberbullying Detection 1
- Text Readability and Simplification 1
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- Misinformation and Its Impacts 1
- Co-authors
- Hung‐Yu Kao (3 shared papers)
- Journals
- CLEF (Working Notes) (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Timothy Niven
2 papers receiving 5 citations
Peers
Comparison fields: 2 of 2
- Artificial Intelligence 6
- Information Systems 3
Countries citing papers authored by Timothy Niven
This map shows the geographic impact of Timothy Niven'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 Timothy Niven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Niven more than expected).
Fields of papers citing papers by Timothy Niven
This network shows the impact of papers produced by Timothy Niven. 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 Timothy Niven. The network helps show where Timothy Niven may publish in the future.
Co-authors
The 1 scholars most cited alongside Timothy Niven, 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 | 2018 | 4 | |
| 2 | 2019 | 2 | |
| 3 | Profiling Spreaders of Disinformation on Twitter: IKMLab and Softbank Submission. | 2020 | 0 |
About Timothy Niven
Timothy Niven is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 3 papers that have together received 6 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Misinformation and Its Impacts (1 paper), Spam and Phishing Detection (1 paper), Hate Speech and Cyberbullying Detection (1 paper), Text Readability and Simplification (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Artificial Intelligence (6 citations), Information Systems (3 citations), Infectious Diseases (0 citations), Organic Chemistry (0 citations) and Surgery (0 citations). Timothy Niven has collaborated with scholars based in Taiwan. Frequent co-authors include Hung‐Yu Kao. Their work appears in journals such as CLEF (Working Notes).
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.