Steven Hansen

926 total citations
10 papers, 346 citations indexed

About

Steven Hansen is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Steven Hansen has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 1 paper in Social Psychology. Recurrent topics in Steven Hansen's work include Reinforcement Learning in Robotics (6 papers), Data Stream Mining Techniques (2 papers) and Language, Metaphor, and Cognition (1 paper). Steven Hansen is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Data Stream Mining Techniques (2 papers) and Language, Metaphor, and Cognition (1 paper). Steven Hansen collaborates with scholars based in United States, United Kingdom and Canada. Steven Hansen's co-authors include James L. McClelland, Milena Rabovsky, Digby Elliott, Luc Tremblay, David Warde-Farley, Volodymyr Mnih, Catalin Ionescu, Tejas D. Kulkarni, Tom Van de Wiele and Pablo Sprechmann and has published in prestigious journals such as Cognitive Science, Nature Human Behaviour and Journal of Motor Behavior.

In The Last Decade

Steven Hansen

10 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Hansen United States	6	265	99	81	60	51	10	346
Jeska Buhmann Belgium	10	156 0.6×	21 0.2×	67 0.8×	76 1.3×	29 0.6×	19	300
Avraham Parush Canada	7	131 0.5×	97 1.0×	134 1.7×	29 0.5×	36 0.7×	12	435
Heike Brock Japan	11	48 0.2×	50 0.5×	50 0.6×	61 1.0×	49 1.0×	29	246
Jesse Spencer-Smith United States	7	58 0.2×	44 0.4×	36 0.4×	30 0.5×	35 0.7×	12	219
M. Pilar Aivar Spain	10	217 0.8×	21 0.2×	16 0.2×	40 0.7×	21 0.4×	24	309
Peter H. Greene United States	6	174 0.7×	28 0.3×	83 1.0×	56 0.9×	45 0.9×	14	273
David J. Jilk United States	7	177 0.7×	18 0.2×	90 1.1×	30 0.5×	11 0.2×	11	321
F.J. Maarse Netherlands	7	161 0.6×	32 0.3×	44 0.5×	31 0.5×	28 0.5×	11	349
Ronny Ibrahim Australia	10	202 0.8×	29 0.3×	17 0.2×	14 0.2×	54 1.1×	18	304
Simon Ladouce France	9	299 1.1×	17 0.2×	15 0.2×	74 1.2×	27 0.5×	20	387

Countries citing papers authored by Steven Hansen

Since Specialization

Citations

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

Fields of papers citing papers by Steven Hansen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Hansen

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

All Works

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10 of 10 papers shown

Sprechmann, Pablo, Steven Hansen, André Barreto, et al.. (2021). Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning. arXiv (Cornell University). 1 indexed citations

Baumli, Kate, David Warde-Farley, Steven Hansen, & Volodymyr Mnih. (2021). Relative Variational Intrinsic Control. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6732–6740. 7 indexed citations

Baumli, Kate, David Warde-Farley, Steven Hansen, & Volodymyr Mnih. (2020). Relative Variational Intrinsic Control. arXiv (Cornell University). 35(8). 6732–6740. 1 indexed citations

Hansen, Steven. (2020). Extended Active Learning As A Means To Learn Syntax In Programming Languages. 13.599.1–13.599.7. 1 indexed citations

Fortunato, Meire, et al.. (2019). Generalization of Reinforcement Learners with Working and Episodic Memory. arXiv (Cornell University). 32. 12448–12457. 8 indexed citations

Rabovsky, Milena, Steven Hansen, & James L. McClelland. (2018). Modelling the N400 brain potential as change in a probabilistic representation of meaning. Nature Human Behaviour. 2(9). 693–705. 155 indexed citations

Hansen, Steven, Pablo Sprechmann, Alexander Pritzel, André Barreto, & Charles Blundell. (2018). Fast deep reinforcement learning using online adjustments from the past. arXiv (Cornell University). 31. 10567–10577. 7 indexed citations

Warde-Farley, David, Tom Van de Wiele, Tejas D. Kulkarni, et al.. (2018). Unsupervised Control Through Non-Parametric Discriminative Rewards. arXiv (Cornell University). 21 indexed citations

Rabovsky, Milena, Steven Hansen, & James L. McClelland. (2016). N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model.. Cognitive Science. 2 indexed citations

10.

Elliott, Digby, et al.. (2004). Learning to Optimize Speed, Accuracy, and Energy Expenditure: A Framework for Understanding Speed-Accuracy Relations in Goal-Directed Aiming. Journal of Motor Behavior. 36(3). 339–351. 143 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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