Raefer Gabriel
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- AI in Service Interactions
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
Papers in
-
- Topic Modeling 4
- AI in Service Interactions 4
- Speech and dialogue systems 3
- Advanced Text Analysis Techniques 1
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- Wikis in Education and Collaboration 1
- Co-authors
- Behnam Hedayatnia (6 shared papers)Anu Venkatesh (3 shared papers)Anna Gottardi (2 shared papers)Karthik Gopalakrishnan (2 shared papers)Dilek Hakkani‐Tür (2 shared papers)Chandra Khatri (4 shared papers)Ashwin Ram (3 shared papers)Rohit Prasad (3 shared papers)
- Journals
- AI Magazine (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Raefer Gabriel
5 papers receiving 212 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 204
- Health Informatics 6
- Applied Psychology 7
- Computer Vision and Pattern Recognition 25
- Social Psychology 23
Countries citing papers authored by Raefer Gabriel
This map shows the geographic impact of Raefer Gabriel'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 Raefer Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raefer Gabriel more than expected).
Fields of papers citing papers by Raefer Gabriel
This network shows the impact of papers produced by Raefer Gabriel. 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 Raefer Gabriel. The network helps show where Raefer Gabriel may publish in the future.
Co-authors
The 19 scholars most cited alongside Raefer Gabriel, 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 | 2019 | 135 | |
| 2 | 2018 | 39 | |
| 3 | On Evaluating and Comparing Conversational Agents | 2018 | 27 |
| 4 | Further advances in open domain dialog systems in the Third Alexa Prize Socialbot Grand Challenge | 2020 | 15 |
| 5 | 2018 | 11 | |
| 6 | On Evaluating Conversational Agents | 2017 | 0 |
About Raefer Gabriel
Raefer Gabriel is a scholar working on Artificial Intelligence, Communication, Health Informatics, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 227 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), AI in Service Interactions (4 papers), Speech and dialogue systems (3 papers), Artificial Intelligence in Healthcare and Education (1 paper), Advanced Text Analysis Techniques (1 paper) and Wikis in Education and Collaboration (1 paper). The work is most often cited by research in Artificial Intelligence (204 citations), Health Informatics (6 citations), Applied Psychology (7 citations), Computer Vision and Pattern Recognition (25 citations) and Social Psychology (23 citations). Raefer Gabriel has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Behnam Hedayatnia, Anu Venkatesh, Anna Gottardi, Karthik Gopalakrishnan, Dilek Hakkani‐Tür, Chandra Khatri, Ashwin Ram, Rohit Prasad, Rahul Goel and Shaohua Yang. Their work appears in journals such as AI Magazine 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.