Max Hort
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
- Health Informatics top 10%
Papers in
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- Ethics and Social Impacts of AI 9
-
- Adversarial Robustness in Machine Learning 6
- Topic Modeling 4
- Natural Language Processing Techniques 2
- Reinforcement Learning in Robotics 2
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Federica Sarro (17 shared papers)Mark Harman (5 shared papers)Jie M. Zhang (4 shared papers)Zhenpeng Chen (2 shared papers)Maria Kechagia (2 shared papers)Leon Moonen (7 shared papers)David L. Williams (1 shared paper)Minghua Ma (1 shared paper)
- Journals
- ACM Transactions on Software Engineering and Methodology (2 papers)Empirical Software Engineering (1 paper)Information and Software Technology (1 paper)IEEE Transactions on Software Engineering (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- United KingdomNorwayAustralia
In The Last Decade
Max Hort
18 papers receiving 343 citations
Max Hort's Hit Papers
Peers
Comparison fields: 5 of 58
- Safety Research 150
- Health Informatics 16
- Artificial Intelligence 165
- Software 20
- Information Systems 73
Countries citing papers authored by Max Hort
This map shows the geographic impact of Max Hort'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 Hort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Hort more than expected).
Fields of papers citing papers by Max Hort
This network shows the impact of papers produced by Max Hort. 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 Hort. The network helps show where Max Hort may publish in the future.
Co-authors
The 12 scholars most cited alongside Max Hort, 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 | Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Hit paper breakdown → | 2023 | 128 |
| 2 | 2021 | 55 | |
| 3 | 2021 | 55 | |
| 4 | 2024 | 42 | |
| 5 | 2021 | 15 | |
| 6 | 2024 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2026 | 0 | |
| 20 | 2022 | 0 |
About Max Hort
Max Hort is a scholar working on Safety Research, Artificial Intelligence, Information Systems, Software and Computer Networks and Communications, having authored 24 papers that have together received 356 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (9 papers), Adversarial Robustness in Machine Learning (6 papers), Software Engineering Research (5 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers), Software System Performance and Reliability (2 papers), Reinforcement Learning in Robotics (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Safety Research (150 citations), Health Informatics (16 citations), Artificial Intelligence (165 citations), Software (20 citations) and Information Systems (73 citations). Max Hort has collaborated with scholars based in United Kingdom, Norway and Australia. Frequent co-authors include Federica Sarro, Mark Harman, Jie M. Zhang, Zhenpeng Chen, Maria Kechagia, Leon Moonen, David L. Williams, Minghua Ma, J. P. Chen and Aldeida Aleti. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, Information and Software Technology, IEEE Transactions on Software Engineering and Applied Soft Computing.
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.