Max Hort

536 total citations
18 papers, 240 citations indexed

About

Max Hort is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Max Hort has authored 18 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Safety Research and 4 papers in Information Systems. Recurrent topics in Max Hort's work include Ethics and Social Impacts of AI (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Software Engineering Research (4 papers). Max Hort is often cited by papers focused on Ethics and Social Impacts of AI (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Software Engineering Research (4 papers). Max Hort collaborates with scholars based in United Kingdom, Norway and Switzerland. Max Hort's co-authors include Federica Sarro, Mark Harman, Jie M. Zhang, Zhenpeng Chen, Maria Kechagia and Leon Moonen and has published in prestigious journals such as IEEE Transactions on Software Engineering, Applied Soft Computing and Information and Software Technology.

In The Last Decade

Max Hort

14 papers receiving 230 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max Hort United Kingdom 7 119 105 58 29 20 18 240
Sergey Butakov Canada 9 122 1.0× 70 0.7× 93 1.6× 82 2.8× 6 0.3× 49 273
Yanghe Pan China 6 123 1.0× 24 0.2× 45 0.8× 37 1.3× 21 1.1× 19 255
Daye Nam United States 7 105 0.9× 16 0.2× 92 1.6× 45 1.6× 5 0.3× 14 255
Andrew Tran United States 7 182 1.5× 32 0.3× 132 2.3× 21 0.7× 11 0.6× 12 426
Fatemehsadat Mireshghallah United States 11 285 2.4× 27 0.3× 36 0.6× 28 1.0× 20 1.0× 15 367
Ching Nam Hang Singapore 8 100 0.8× 10 0.1× 62 1.1× 27 0.9× 6 0.3× 12 202
Bruno Castro da Silva United States 7 114 1.0× 39 0.4× 16 0.3× 4 0.1× 7 0.3× 16 204
Shraddha Barke United States 4 80 0.7× 16 0.2× 108 1.9× 12 0.4× 4 0.2× 7 214
Hanjie Chen United States 6 235 2.0× 13 0.1× 30 0.5× 10 0.3× 7 0.3× 10 347

Countries citing papers authored by Max Hort

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Hort

This figure shows the co-authorship network connecting the top 25 collaborators of Max Hort. A scholar is included among the top collaborators of Max Hort based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Max Hort. Max Hort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Hort, Max, et al.. (2025). FairST: A novel approach for machine learning bias repair through latent sensitive attribute translation. Information and Software Technology. 189. 107900–107900.
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Chen, Zhenpeng, Jie M. Zhang, Max Hort, Mark Harman, & Federica Sarro. (2024). Fairness Testing: A Comprehensive Survey and Analysis of Trends. ACM Transactions on Software Engineering and Methodology. 33(5). 1–59. 23 indexed citations
6.
Hort, Max, Jie M. Zhang, Federica Sarro, & Mark Harman. (2024). Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software. Empirical Software Engineering. 29(1). 36–36. 7 indexed citations
7.
Hort, Max, Zhenpeng Chen, Jie M. Zhang, Mark Harman, & Federica Sarro. (2023). Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey. 1(2). 1–52. 80 indexed citations
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Hort, Max, et al.. (2023). An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code. Duo Research Archive (University of Oslo). 1–12. 3 indexed citations
10.
Hort, Max, et al.. (2022). Multi-objective search for gender-fair and semantically correct word embeddings. Applied Soft Computing. 133. 109916–109916. 10 indexed citations
11.
Hort, Max, et al.. (2022). Py2Cy. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1950–1955.
12.
Hort, Max & Federica Sarro. (2022). Privileged and unprivileged groups. 17–24. 3 indexed citations
13.
Hort, Max, et al.. (2022). An Empirical Study on the Fairness of Pre-trained Word Embeddings. 129–144. 4 indexed citations
14.
Hort, Max, Maria Kechagia, Federica Sarro, & Mark Harman. (2021). A Survey of Performance Optimization for Mobile Applications. IEEE Transactions on Software Engineering. 48(8). 2879–2904. 46 indexed citations
15.
Hort, Max, Jie M. Zhang, Federica Sarro, & Mark Harman. (2021). Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods. 994–1006. 40 indexed citations
16.
Hort, Max & Federica Sarro. (2021). The effect of offspring population size on NSGA-II. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 24. 179–180. 4 indexed citations
17.
Hort, Max & Federica Sarro. (2021). Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination. 1322–1326. 14 indexed citations
18.
Hort, Max & Federica Sarro. (2020). Optimising word embeddings with search-based approaches. UCL Discovery (University College London). 269–270. 1 indexed citations

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.

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