Max Bartolo
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Adversarial Robustness in Machine Learning
- Health Informatics top 10%
Papers in
-
- Topic Modeling 13
- Natural Language Processing Techniques 8
- Adversarial Robustness in Machine Learning 6
- Domain Adaptation and Few-Shot Learning 2
-
- Multimodal Machine Learning Applications 2
- Co-authors
- Sebastian Riedel (8 shared papers)Pontus Stenetorp (8 shared papers)Alastair P. Moore (2 shared papers)Yao Lu (1 shared paper)Douwe Kiela (5 shared papers)Tristan Thrush (5 shared papers)Adina Williams (4 shared papers)Amanpreet Singh (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Nature (1 paper)Frontiers in Physics (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (2 papers)Findings of the Association for Computational Linguistics: NAACL (1 paper)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Max Bartolo
19 papers receiving 899 citations
Max Bartolo's Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 632
- Health Informatics 26
- Computer Vision and Pattern Recognition 192
- Safety Research 52
- Information Systems 81
Countries citing papers authored by Max Bartolo
This map shows the geographic impact of Max Bartolo'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 Max Bartolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Bartolo more than expected).
Fields of papers citing papers by Max Bartolo
This network shows the impact of papers produced by Max Bartolo. 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 Max Bartolo. The network helps show where Max Bartolo may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Bartolo, 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 | Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Hit paper breakdown → | 2022 | 411 |
| 2 | 2021 | 153 | |
| 3 | 2022 | 147 | |
| 4 | 2018 | 96 | |
| 5 | 2020 | 30 | |
| 6 | 2024 | 21 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2026 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 2 | |
| 19 | Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension | 2020 | 1 |
| 20 | 2023 | 0 |
About Max Bartolo
Max Bartolo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Information Systems and Management and Safety Research, having authored 20 papers that have together received 937 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (8 papers), Adversarial Robustness in Machine Learning (6 papers), Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers), Ethics and Social Impacts of AI (1 paper), Advanced Database Systems and Queries (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (632 citations), Health Informatics (26 citations), Computer Vision and Pattern Recognition (192 citations), Safety Research (52 citations) and Information Systems (81 citations). Max Bartolo has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Sebastian Riedel, Pontus Stenetorp, Alastair P. Moore, Yao Lu, Douwe Kiela, Tristan Thrush, Adina Williams, Amanpreet Singh, Candace Ross and Guillaume Bouchard. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Nature, Frontiers in Physics, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) and Findings of the Association for Computational Linguistics: NAACL.
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.