Davis David
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
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- Ethics and Social Impacts of AI
Papers in
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Sentiment Analysis and Opinion Mining 2
- Text and Document Classification Technologies 1
-
- Financial Distress and Bankruptcy Prediction 1
- Co-authors
- Dietrich Klakow (1 shared paper)Rachel Bawden (1 shared paper)Shamsuddeen Hassan Muhammad (1 shared paper)Israel Abebe Azime (1 shared paper)Dawei Zhu (1 shared paper)Jesujoba Oluwadara Alabi (1 shared paper)David Ifeoluwa Adelani (1 shared paper)Cristina España-Bonet (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Language Resources and Evaluation (1 paper)Lecture notes in networks and systems (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)Conference on Empirical Methods in Natural Language Processing (EMNLP) (2 papers)
In The Last Decade
Davis David
6 papers receiving 221 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 172
- Safety Research 18
- Information Systems 27
- Computer Science Applications 3
- Human-Computer Interaction 4
Countries citing papers authored by Davis David
This map shows the geographic impact of Davis David'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 Davis David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davis David more than expected).
Fields of papers citing papers by Davis David
This network shows the impact of papers produced by Davis David. 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 Davis David. The network helps show where Davis David may publish in the future.
Co-authors
The 9 scholars most cited alongside Davis David, 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 | 2021 | 161 | |
| 2 | 2021 | 37 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 14 | |
| 5 | 2024 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 |
About Davis David
Davis David is a scholar working on Artificial Intelligence, Accounting, Economics and Econometrics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 237 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Microfinance and Financial Inclusion (1 paper), Text and Document Classification Technologies (1 paper) and Financial Distress and Bankruptcy Prediction (1 paper). The work is most often cited by research in Artificial Intelligence (172 citations), Safety Research (18 citations), Information Systems (27 citations), Computer Science Applications (3 citations) and Human-Computer Interaction (4 citations). Davis David has collaborated with scholars based in Uganda, Nigeria and Canada. Frequent co-authors include Dietrich Klakow, Rachel Bawden, Shamsuddeen Hassan Muhammad, Israel Abebe Azime, Dawei Zhu, Jesujoba Oluwadara Alabi, David Ifeoluwa Adelani, Cristina España-Bonet and Andrew Caines. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Language Resources and Evaluation, Lecture notes in networks and systems, HAL (Le Centre pour la Communication Scientifique Directe) and Conference on Empirical Methods in Natural Language Processing (EMNLP).
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.