Maxwell Forbes
Impact in
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- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Topic Modeling 10
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 2
- Domain Adaptation and Few-Shot Learning 2
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- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Yejin ChoiAri HoltzmanRonan Le BrasJack HesselJan BuysMaya ÇakmakRajesh P. N. RaoJena D. Hwang
- Journals
- Nature Machine Intelligence (1 paper)arXiv (Cornell University) (3 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Maxwell Forbes
16 papers receiving 796 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 425
- Artificial Intelligence 488
- Computer Graphics and Computer-Aided Design 39
- Health Informatics 7
- Computer Science Applications 26
Countries citing papers authored by Maxwell Forbes
This map shows the geographic impact of Maxwell Forbes'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 Maxwell Forbes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell Forbes more than expected).
Fields of papers citing papers by Maxwell Forbes
This network shows the impact of papers produced by Maxwell Forbes. 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 Maxwell Forbes. The network helps show where Maxwell Forbes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maxwell Forbes, 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 | 2025 | 5 | |
| 2 | 2022 | 52 | |
| 3 | CLIPScore: A Reference-free Evaluation Metric for Image Captioning Hit paper breakdown → | 2021 | 392 |
| 4 | 2021 | 55 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 17 | |
| 9 | The Curious Case of Neural Text Degeneration | 2020 | 173 |
| 10 | 2020 | 4 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 23 | |
| 13 | 2015 | 39 | |
| 14 | Programming by Demonstration with Situated Semantic Parsing | 2014 | 3 |
| 15 | 2014 | 18 | |
| 16 | 2014 | 18 | |
| 17 | Grounding Antonym Adjective Pairs through Interaction | 2014 | 1 |
About Maxwell Forbes
Maxwell Forbes is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Control and Systems Engineering and Safety Research, having authored 17 papers that have together received 835 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (4 papers), Robot Manipulation and Learning (4 papers), Modular Robots and Swarm Intelligence (2 papers), Advanced Text Analysis Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (425 citations), Artificial Intelligence (488 citations), Computer Graphics and Computer-Aided Design (39 citations), Health Informatics (7 citations) and Computer Science Applications (26 citations). Maxwell Forbes has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Yejin Choi, Ari Holtzman, Ronan Le Bras, Jack Hessel, Jan Buys, Maya Çakmak, Rajesh P. N. Rao, Jena D. Hwang, Noah A. Smith and Denis Emelin. Their work appears in journals such as Nature Machine Intelligence, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.
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.