Max Bartolo
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 5
- Adversarial Robustness in Machine Learning 3
- Hate Speech and Cyberbullying Detection 1
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- Multimodal Machine Learning Applications 3
- Generative Adversarial Networks and Image Synthesis 1
- Co-authors
- Sebastian Riedel (5 shared papers)Pontus Stenetorp (5 shared papers)Yao Lu (1 shared paper)Alastair Moore (1 shared paper)Tristan Thrush (4 shared papers)Douwe Kiela (4 shared papers)Adina Williams (3 shared papers)Amanpreet Singh (1 shared paper)
- Journals
- Value in Health (1 paper)Open MIND (1 paper)Empirical Methods in Natural Language Processing (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United KingdomIsraelUnited States
In The Last Decade
Max Bartolo
13 papers receiving 544 citations
Max Bartolo's Hit Papers
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 450
- Computer Vision and Pattern Recognition 197
- Health Informatics 10
- General Social Sciences 8
- Computer Science Applications 14
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 | 294 |
| 2 | 2022 | 124 | |
| 3 | 2018 | 77 | |
| 4 | 2021 | 48 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 | |
| 12 | Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension | 2020 | 1 |
| 13 | 2024 | 1 |
About Max Bartolo
Max Bartolo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Information Systems and Transportation, having authored 13 papers that have together received 576 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (3 papers), Adversarial Robustness in Machine Learning (3 papers), Hate Speech and Cyberbullying Detection (1 paper), Cystic Fibrosis Research Advances (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (450 citations), Computer Vision and Pattern Recognition (197 citations), Health Informatics (10 citations), General Social Sciences (8 citations) and Computer Science Applications (14 citations). Max Bartolo has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Sebastian Riedel, Pontus Stenetorp, Yao Lu, Alastair Moore, Tristan Thrush, Douwe Kiela, Adina Williams, Amanpreet Singh, Candace Ross and Marzieh Saeidi. Their work appears in journals such as Value in Health, Open MIND, Empirical Methods in Natural Language Processing, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.