Faeze Brahman
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Explainable Artificial Intelligence (XAI)
- Advanced Graph Neural Networks
- Artificial Intelligence in Games
Papers in
-
- Topic Modeling 13
- Natural Language Processing Techniques 11
- Artificial Intelligence in Games 4
- Semantic Web and Ontologies 4
- Logic, Reasoning, and Knowledge 2
- Speech and dialogue systems 2
- Explainable Artificial Intelligence (XAI) 2
-
- Multimodal Machine Learning Applications 5
- Co-authors
- Yejin Choi (13 shared papers)Sean Welleck (3 shared papers)Lianhui Qin (3 shared papers)Jaehun Jung (3 shared papers)Ronan Le Bras (2 shared papers)Chandra Bhagavatula (1 shared paper)Vishakh Padmakumar (1 shared paper)Smaranda Muresan (1 shared paper)
- Journals
- Creativity and Cognition (1 paper)Educational Data Mining (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Faeze Brahman
20 papers receiving 142 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 106
- Health Informatics 4
- Computer Science Applications 7
- Computer Vision and Pattern Recognition 18
- Information Systems and Management 6
Countries citing papers authored by Faeze Brahman
This map shows the geographic impact of Faeze Brahman'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 Faeze Brahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faeze Brahman more than expected).
Fields of papers citing papers by Faeze Brahman
This network shows the impact of papers produced by Faeze Brahman. 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 Faeze Brahman. The network helps show where Faeze Brahman may publish in the future.
Co-authors
The 25 scholars most cited alongside Faeze Brahman, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 57 | |
| 2 | 2024 | 24 | |
| 3 | 2021 | 18 | |
| 4 | 2023 | 10 | |
| 5 | 2020 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 3 | |
| 11 | Reformulating Sentence Ordering as Conditional Text Generation. | 2021 | 3 |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | Effective Forum Curation via Multi-task Learning. | 2020 | 1 |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Faeze Brahman
Faeze Brahman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science and Information Systems, having authored 24 papers that have together received 146 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers), Multimodal Machine Learning Applications (5 papers), Artificial Intelligence in Games (4 papers), Semantic Web and Ontologies (4 papers), Logic, Reasoning, and Knowledge (2 papers), Speech and dialogue systems (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (106 citations), Health Informatics (4 citations), Computer Science Applications (7 citations), Computer Vision and Pattern Recognition (18 citations) and Information Systems and Management (6 citations). Faeze Brahman has collaborated with scholars based in United States and China. Frequent co-authors include Yejin Choi, Sean Welleck, Lianhui Qin, Jaehun Jung, Ronan Le Bras, Chandra Bhagavatula, Vishakh Padmakumar, Smaranda Muresan, Tuhin Chakrabarty and Rachel Rudinger. Their work appears in journals such as Creativity and Cognition and Educational Data Mining.
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.