Jessica B. Hamrick

6.7k citations
18 papers · 765 indexed · 1 hit paper · h-index 11
Topics
Explainable Artificial Intelligence (XAI) (4 papers)Reinforcement Learning in Robotics (4 papers)Child and Animal Learning Development (4 papers)

In The Last Decade

Jessica B. Hamrick

17 papers receiving 708 citations

Hit Papers

Simulation as an engine of physical scene understanding20132026201720212013100200300

Peers

Jessica B. Hamrick
Comparison fields: 5 of 97
  • Cognitive Neuroscience 287
  • Artificial Intelligence 236
  • Developmental and Educational Psychology 138
  • Computer Vision and Pattern Recognition 133
  • Social Psychology 125
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Citations per field
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Countries citing papers authored by Jessica B. Hamrick

Since Specialization
Citations

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

Fields of papers citing papers by Jessica B. Hamrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica B. Hamrick. 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 Jessica B. Hamrick. The network helps show where Jessica B. Hamrick may publish in the future.

Co-authorship network of co-authors of Jessica B. Hamrick

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1
On the role of planning in model-based deep reinforcement learning
10
2
Combining Q-Learning and Search with Amortized Value Estimates
6
3 38
4 36
5
Relational inductive bias for physical construction in humans and machines
2
6 1
7 15
8 52
9 0
10 20
11 136
12 24
13
What to simulate? Inferring the right direction for mental rotation
6
14 26
15 13
16 1
17
Simulation as an engine of physical scene understandingbreakdown →
370
18
Probabilistic internal physics models guide judgments about object dynamics
9

About Jessica B. Hamrick

Jessica B. Hamrick is a scholar working on General Decision Sciences, Computer Science Applications and History and Philosophy of Science, having authored 18 papers that have together received 765 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (4 papers), Reinforcement Learning in Robotics (4 papers) and Child and Animal Learning Development (4 papers). The work is most often cited by research in General Decision Sciences (75 citations), Cognitive Neuroscience (287 citations) and Developmental and Educational Psychology (138 citations). Jessica B. Hamrick has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Peter Battaglia, Joshua B. Tenenbaum, Thomas L. Griffiths, Anna Coenen, Patricia P. Chan, Jay B. Martin, Alexander Rich, Doug Markant, Todd M. Gureckis and David Halpern. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cognition and Cognitive Science.

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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