Harrie Oosterhuis

911 total citations
32 papers, 264 citations indexed

About

Harrie Oosterhuis is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems. According to data from OpenAlex, Harrie Oosterhuis has authored 32 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 14 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Harrie Oosterhuis's work include Advanced Bandit Algorithms Research (13 papers), Recommender Systems and Techniques (8 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Harrie Oosterhuis is often cited by papers focused on Advanced Bandit Algorithms Research (13 papers), Recommender Systems and Techniques (8 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Harrie Oosterhuis collaborates with scholars based in Netherlands, United States and Czechia. Harrie Oosterhuis's co-authors include Maarten de Rijke, Jin Huang, Herke van Hoof, Anne Schuth, Shimon Whiteson, Hinda Haned, Ana Lučić, W. Th. Nauta, Mark J. Ernsting and Yuta Saito and has published in prestigious journals such as The Lancet, Journal of Neurochemistry and Life Sciences.

In The Last Decade

Harrie Oosterhuis

29 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harrie Oosterhuis Netherlands 9 141 133 107 35 30 32 264
Jiankai Sun United States 9 175 1.2× 149 1.1× 46 0.4× 18 0.5× 33 1.1× 12 250
Yisong Yue United States 3 66 0.5× 113 0.8× 81 0.8× 27 0.8× 35 1.2× 4 230
Armelle Brun France 9 151 1.1× 122 0.9× 37 0.3× 13 0.4× 34 1.1× 42 254
Flavian Vasile United States 8 198 1.4× 192 1.4× 83 0.8× 7 0.2× 57 1.9× 20 290
Diane Hu United States 8 182 1.3× 164 1.2× 57 0.5× 8 0.2× 63 2.1× 16 286
Marcel Genzmehr Germany 6 199 1.4× 136 1.0× 39 0.4× 13 0.4× 48 1.6× 7 252
Anne Boyer France 8 131 0.9× 91 0.7× 29 0.3× 33 0.9× 38 1.3× 56 242
Roberto Mirizzi Italy 7 268 1.9× 240 1.8× 38 0.4× 20 0.6× 66 2.2× 16 353
Paolo Tomeo Italy 8 257 1.8× 184 1.4× 69 0.6× 15 0.4× 63 2.1× 15 315
Xuezhi Cao China 10 241 1.7× 300 2.3× 71 0.7× 9 0.3× 84 2.8× 21 408

Countries citing papers authored by Harrie Oosterhuis

Since Specialization
Citations

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

Fields of papers citing papers by Harrie Oosterhuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harrie Oosterhuis

This figure shows the co-authorship network connecting the top 25 collaborators of Harrie Oosterhuis. A scholar is included among the top collaborators of Harrie Oosterhuis 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 Harrie Oosterhuis. Harrie Oosterhuis 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
1.
Móro, Róbert, et al.. (2025). RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces. ArXiv.org. 3702–3711.
2.
Oosterhuis, Harrie, Rolf Jagerman, Zhen Qin, Xuanhui Wang, & Michael Bendersky. (2024). Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I.. arXiv (Cornell University). 2307–2317. 2 indexed citations
3.
Oosterhuis, Harrie, et al.. (2024). Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. UvA-DARE (University of Amsterdam). 416–426. 3 indexed citations
4.
Oosterhuis, Harrie, et al.. (2024). Optimal Baseline Corrections for Off-Policy Contextual Bandits. Radboud Repository (Radboud University). 722–732. 2 indexed citations
5.
Oosterhuis, Harrie, et al.. (2024). CONSEQUENCES --- The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. Radboud Repository (Radboud University). 1206–1209.
6.
Qin, Zhen, Honglei Zhuang, Rolf Jagerman, et al.. (2024). Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. 410–423. 1 indexed citations
7.
Oosterhuis, Harrie, et al.. (2023). Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. arXiv (Cornell University). 249–258. 7 indexed citations
8.
Oosterhuis, Harrie, et al.. (2023). A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. UvA-DARE (University of Amsterdam). 87–93. 2 indexed citations
9.
Huang, Jin, et al.. (2022). State Encoders in Reinforcement Learning for Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2738–2748. 8 indexed citations
10.
Oosterhuis, Harrie. (2021). Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness. Radboud Repository (Radboud University). 1023–1032. 33 indexed citations
11.
Oosterhuis, Harrie. (2020). Learning from user interactions with rankings. ACM SIGIR Forum. 54(2). 1–2. 2 indexed citations
12.
Huang, Jin, Harrie Oosterhuis, Maarten de Rijke, & Herke van Hoof. (2020). Keeping Dataset Biases out of the Simulation. UvA-DARE (University of Amsterdam). 190–199. 44 indexed citations
13.
Lučić, Ana, Harrie Oosterhuis, Hinda Haned, & Maarten de Rijke. (2019). Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles.. UvA-DARE (University of Amsterdam). 6 indexed citations
14.
Lucchese, Claudio, Franco Maria Nardini, Rama Kumar Pasumarthi, et al.. (2019). Learning to Rank in Theory and Practice. UvA-DARE (University of Amsterdam). 1419–1420. 6 indexed citations
15.
Schuth, Anne, Harrie Oosterhuis, Shimon Whiteson, & Maarten de Rijke. (2016). Multileave Gradient Descent for Fast Online Learning to Rank. UvA-DARE (University of Amsterdam). 457–466. 42 indexed citations
16.
Schuth, Anne, et al.. (2015). Probabilistic Multileave for Online Retrieval Evaluation. UvA-DARE (University of Amsterdam). 955–958. 11 indexed citations
17.
Roukema, P.A., et al.. (1963). Indoloquinolizine metabolites as a complicating factor in establishing brain serotonine levels. Life Sciences. 2(11). 799–803. 2 indexed citations
18.
19.
Luyken, R., et al.. (1960). Studies on the physiology of nutrition in Surinam. II. Serum protein levels.. PubMed. 12. 233–6. 3 indexed citations
20.
Ernsting, Mark J., et al.. (1960). THE EFFECT OF PSYCHOTROPIC DRUGS ON γ‐AMINOBUTYRIC ACID AND GLUTAMIC ACID IN BRAIN TISSUE. Journal of Neurochemistry. 5(2). 121–127. 17 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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