Agathe Balayn

465 total citations
22 papers, 248 citations indexed

About

Agathe Balayn is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Agathe Balayn has authored 22 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Safety Research and 4 papers in Information Systems. Recurrent topics in Agathe Balayn's work include Explainable Artificial Intelligence (XAI) (9 papers), Ethics and Social Impacts of AI (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Agathe Balayn is often cited by papers focused on Explainable Artificial Intelligence (XAI) (9 papers), Ethics and Social Impacts of AI (8 papers) and Adversarial Robustness in Machine Learning (7 papers). Agathe Balayn collaborates with scholars based in Netherlands, Italy and Germany. Agathe Balayn's co-authors include Alessandro Bozzon, Christoph Lofi, Jie Yang, Geert‐Jan Houben, Dave Murray-Rust, Ujwal Gadiraju, Nava Tintarev, Tim Draws, Gaole He and Zoltán Szlávik and has published in prestigious journals such as ACM Computing Surveys, Journal of Artificial Intelligence Research and The VLDB Journal.

In The Last Decade

Agathe Balayn

21 papers receiving 244 citations

Peers

Agathe Balayn
Alice Xiang United States
Qian Pan United States
Xinru Wang United States
Bogdana Rakova United States
Claudio Novelli Italy
Samir Passi United States
Romy Blankendaal Netherlands
Ritesh Noothigattu United States
Ana Marasović United States
David Gray Widder United States
Alice Xiang United States
Agathe Balayn
Citations per year, relative to Agathe Balayn Agathe Balayn (= 1×) peers Alice Xiang

Countries citing papers authored by Agathe Balayn

Since Specialization
Citations

This map shows the geographic impact of Agathe Balayn'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 Agathe Balayn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agathe Balayn more than expected).

Fields of papers citing papers by Agathe Balayn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agathe Balayn. 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 Agathe Balayn. The network helps show where Agathe Balayn may publish in the future.

Co-authorship network of co-authors of Agathe Balayn

This figure shows the co-authorship network connecting the top 25 collaborators of Agathe Balayn. A scholar is included among the top collaborators of Agathe Balayn 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 Agathe Balayn. Agathe Balayn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Balayn, Agathe, et al.. (2024). ``It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. EUR Research Repository (Erasmus University Rotterdam). 1–21. 6 indexed citations
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He, Gaole, et al.. (2024). Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?. Journal of Artificial Intelligence Research. 81. 117–162. 2 indexed citations
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Balayn, Agathe, et al.. (2024). A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. ACM Computing Surveys. 57(6). 1–38. 12 indexed citations
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Balayn, Agathe, et al.. (2023). Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. Iris (University of Trento). 650–663. 5 indexed citations
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Draws, Tim, et al.. (2023). Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability. Research Publications (Maastricht University). 1–21. 34 indexed citations
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Balayn, Agathe, et al.. (2023). Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. Research Repository (Delft University of Technology). 1198–1212. 29 indexed citations
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Balayn, Agathe, et al.. (2023). “☑ Fairness Toolkits, A Checkbox Culture?” On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. Research Repository (Delft University of Technology). 482–495. 15 indexed citations
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Balayn, Agathe, et al.. (2023). Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. Data Archiving and Networked Services (DANS). 1–20. 4 indexed citations
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Murray-Rust, Dave, et al.. (2022). Towards a multi-stakeholder value-based assessment framework for algorithmic systems. arXiv (Cornell University). 21 indexed citations
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He, Gaole, et al.. (2022). It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 10(1). 89–101. 9 indexed citations
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Balayn, Agathe, et al.. (2022). How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models?. CHI Conference on Human Factors in Computing Systems. 1–16. 16 indexed citations
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Balayn, Agathe, et al.. (2022). Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. Proceedings of the ACM Web Conference 2022. 1709–1719. 8 indexed citations
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Balayn, Agathe, et al.. (2021). What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. Research Repository (Delft University of Technology). 1937–1948. 16 indexed citations
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Balayn, Agathe, Heike Brock, & Kazuhiro Nakadai. (2018). Data-driven development of Virtual Sign Language Communication Agents. 370–377. 4 indexed citations
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Balayn, Agathe, et al.. (2018). Characterising and Mitigating Aggregation-Bias in Crowdsourced Toxicity Annotations. Data Archiving and Networked Services (DANS). 67–71. 2 indexed citations
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Balayn, Agathe, et al.. (2016). Adaptive handling assistance for industrial lightweight robots in simulation. 44. 1–8. 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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