Adam White

1.4k total citations
26 papers, 723 citations indexed

About

Adam White is a scholar working on Artificial Intelligence, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, Adam White has authored 26 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 2 papers in Management Information Systems. Recurrent topics in Adam White's work include Reinforcement Learning in Robotics (12 papers), Advanced Bandit Algorithms Research (6 papers) and Evolutionary Algorithms and Applications (5 papers). Adam White is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Advanced Bandit Algorithms Research (6 papers) and Evolutionary Algorithms and Applications (5 papers). Adam White collaborates with scholars based in Canada, United Kingdom and United States. Adam White's co-authors include B. K. Tanner, Richard S. Sutton, Thomas Degris, Joseph Modayil, Patrick M. Pilarski, Doina Precup, Elizabeth Daniel, Martha White, Anindya Sen and John M. Ward and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

Adam White

26 papers receiving 638 citations

Peers

Adam White

GEEF

ACCOU

MSOR

Frank Bezzina Malta

Martin Spindler Germany

Manel Baucells United States

Vijay K. Vemuri United States

An‐Sing Chen Taiwan

Irena Vodenska United States

Kenneth Carling Sweden

Chei‐Chang Chiou Taiwan

Bo Hsiao Taiwan

Frank Bezzina Malta

Adam White

82 ×0.4

138 ×0.7

13 ×0.2

GEEF

88 ×1.2

ACCOU

52 ×0.8

MSOR

Citations per year, relative to Adam White Adam White (= 1×) peers Frank Bezzina

Countries citing papers authored by Adam White

Since Specialization

Citations

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

Fields of papers citing papers by Adam White

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam White

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

All Works

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20 of 20 papers shown

White, Adam, et al.. (2024). Predicting recovery following stroke: Deep learning, multimodal data and feature selection using explainable AI. NeuroImage Clinical. 43. 103638–103638. 4 indexed citations

White, Martha, et al.. (2024). Investigating the properties of neural network representations in reinforcement learning. Artificial Intelligence. 330. 104100–104100. 6 indexed citations

White, Martha, et al.. (2023). GVFs in the real world: making predictions online for water treatment. Machine Learning. 113(8). 5151–5181. 2 indexed citations

White, Adam, et al.. (2023). Contrastive counterfactual visual explanations with overdetermination. Machine Learning. 112(9). 3497–3525. 2 indexed citations

White, Adam, et al.. (2023). Entropy as a Measure of Puzzle Difficulty. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 19(1). 34–42. 3 indexed citations

Abbas, Zaheer, et al.. (2022). From eye-blinks to state construction: Diagnostic benchmarks for online representation learning. Adaptive Behavior. 31(1). 3–19. 2 indexed citations

Zhang, Shangtong, et al.. (2022). Learning Expected Emphatic Traces for Deep RL. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 7015–7023. 3 indexed citations

Zahavy, Tom, Zhongwen Xu, Adam White, et al.. (2021). Emphatic Algorithms for Deep Reinforcement Learning. arXiv (Cornell University). 2 indexed citations

Liu, Vincent, et al.. (2020). Training Recurrent Neural Networks Online by Learning Explicit State Variables. International Conference on Learning Representations. 3 indexed citations

10.

White, Adam, et al.. (2020). Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks. Adaptive Agents and Multi-Agents Systems. 438–446. 2 indexed citations

11.

White, Adam, et al.. (2020). Gradient Temporal-Difference Learning with Regularized Corrections. arXiv (Cornell University). 1. 3524–3534. 3 indexed citations

12.

Sherstan, Craig, et al.. (2018). Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. Uncertainty in Artificial Intelligence. 63–72. 3 indexed citations

13.

White, Martha & Adam White. (2016). A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning. Adaptive Agents and Multi-Agents Systems. 557–565. 5 indexed citations

14.

Modayil, Joseph, Adam White, Patrick M. Pilarski, & Richard S. Sutton. (2012). Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. 1903–1910. 7 indexed citations

15.

Sutton, Richard S., Joseph Modayil, Thomas Degris, et al.. (2011). Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction. Adaptive Agents and Multi-Agents Systems. 761–768. 123 indexed citations

16.

White, Martha & Adam White. (2010). Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains. Neural Information Processing Systems. 23. 2433–2441. 9 indexed citations

17.

Tanner, B. K. & Adam White. (2009). RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments. Journal of Machine Learning Research. 10(74). 2133–2136. 66 indexed citations

18.

Daniel, Elizabeth, Adam White, & John M. Ward. (2004). Exploring the role of third parties in inter‐organizational Web service adoption. Journal of Enterprise Information Management. 17(5). 351–360. 10 indexed citations

19.

White, Adam & Elizabeth Daniel. (2004). The impact of e‐marketplaces on dyadic buyer‐supplier relationships: evidence from the healthcare sector. Journal of Enterprise Information Management. 17(6). 441–453. 28 indexed citations

20.

White, Adam. (1988). Introduction to Econometrics. John Wiley & Sons, Inc. eBooks. 380 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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