Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Citations per year, relative to Kevin Jamieson Kevin Jamieson (= 1×)
peers
Aaron Klein
Countries citing papers authored by Kevin Jamieson
Since
Specialization
Citations
This map shows the geographic impact of Kevin Jamieson'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 Kevin Jamieson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Jamieson more than expected).
This network shows the impact of papers produced by Kevin Jamieson. 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 Kevin Jamieson. The network helps show where Kevin Jamieson may publish in the future.
Co-authorship network of co-authors of Kevin Jamieson
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Jamieson.
A scholar is included among the top collaborators of Kevin Jamieson 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 Kevin Jamieson. Kevin Jamieson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Simchowitz, Max, et al.. (2021). Task-Optimal Exploration in Linear Dynamical Systems. International Conference on Machine Learning. 10641–10652.1 indexed citations
5.
Li, Liam, Kevin Jamieson, Afshin Rostamizadeh, et al.. (2020). A System for Massively Parallel Hyperparameter Tuning. 2. 230–246.87 indexed citations
6.
Jamieson, Kevin, et al.. (2019). The True Sample Complexity of Identifying Good Arms.. International Conference on Artificial Intelligence and Statistics. 1781–1791.1 indexed citations
7.
Jamieson, Kevin & Lalit Jain. (2018). A Bandit Approach to Sequential Experimental Design with False Discovery Control. Neural Information Processing Systems. 31. 3660–3670.4 indexed citations
8.
Jain, Lalit & Kevin Jamieson. (2018). Firing Bandits: Optimizing Crowdfunding. International Conference on Machine Learning. 2206–2214.1 indexed citations
9.
Li, Lisha, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, & Ameet Talwalkar. (2017). Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization. International Conference on Learning Representations.40 indexed citations
10.
Yang, Fanny, Aaditya Ramdas, Kevin Jamieson, & Martin J. Wainwright. (2017). A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control. Neural Information Processing Systems. 30. 5957–5966.3 indexed citations
Jamieson, Kevin & Ameet Talwalkar. (2016). Non-stochastic Best Arm Identification and Hyperparameter Optimization. International Conference on Artificial Intelligence and Statistics. 240–248.44 indexed citations
13.
Jun, Kwang-Sung, Kevin Jamieson, Robert D. Nowak, & Xiaojin Zhu. (2016). Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls. International Conference on Artificial Intelligence and Statistics. 139–148.6 indexed citations
14.
Jamieson, Kevin, Daniel Haas, & Benjamin Recht. (2016). The Power of Adaptivity in Identifying Statistical Alternatives. Neural Information Processing Systems. 29. 775–783.3 indexed citations
15.
Jain, Lalit, Kevin Jamieson, & Robert D. Nowak. (2016). Finite Sample Prediction and Recovery Bounds for Ordinal Embedding. Neural Information Processing Systems. 29. 2703–2711.12 indexed citations
16.
Jamieson, Kevin, Sumeet Katariya, Atul Deshpande, & Robert D. Nowak. (2015). Sparse Dueling Bandits. International Conference on Artificial Intelligence and Statistics. 416–424.7 indexed citations
17.
Jamieson, Kevin, et al.. (2015). NEXT: a system for real-world development, evaluation, and application of active learning. Neural Information Processing Systems. 28. 2656–2664.23 indexed citations
18.
Jamieson, Kevin, Matthew Malloy, Robert D. Nowak, & Sébastien Bubeck. (2014). lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits. Conference on Learning Theory. 423–439.40 indexed citations
19.
Jamieson, Kevin, Robert D. Nowak, & Ben Recht. (2012). Query Complexity of Derivative-Free Optimization. Neural Information Processing Systems. 25. 2672–2680.18 indexed citations
20.
Jamieson, Kevin, et al.. (2009). Sequential Bayesian estimation of the probability of detection for tracking. International Conference on Information Fusion. 641–648.13 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.