Kimberly Stachenfeld
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 10%
- Social Psychology
- Co-authors
- Samuel J. GershmanMatthew BotvinickJames C. R. WhittingtonAlon BaramTimothy E.J. BehrensShirley MarkZeb Kurth‐NelsonTimothy Müller
- Topics
- Memory and Neural Mechanisms (9 papers)Neural dynamics and brain function (5 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Kimberly Stachenfeld
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cognitive Neuroscience 1.0k
- Cellular and Molecular Neuroscience 368
- Artificial Intelligence 221
- Developmental and Educational Psychology 113
- Social Psychology 83
Countries citing papers authored by Kimberly Stachenfeld
This map shows the geographic impact of Kimberly Stachenfeld'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 Kimberly Stachenfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Stachenfeld more than expected).
Fields of papers citing papers by Kimberly Stachenfeld
This network shows the impact of papers produced by Kimberly Stachenfeld. 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 Kimberly Stachenfeld. The network helps show where Kimberly Stachenfeld may publish in the future.
Co-authorship network of co-authors of Kimberly Stachenfeld
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Stachenfeld. A scholar is included among the top collaborators of Kimberly Stachenfeld 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 Kimberly Stachenfeld. Kimberly Stachenfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 22 | |
| 6 | 5 | |
| 7 | 50 | |
| 8 | 33 | |
| 9 | 32 | |
| 10 | 14 | |
| 11 | What Is a Cognitive Map? Organizing Knowledge for Flexible Behaviorbreakdown → | 544 |
| 12 | 3 | |
| 13 | Learning Neural Representations That Support Efficient Reinforcement Learning | 1 |
| 14 | The hippocampus as a predictive mapbreakdown → | 472 |
| 15 | Design Principles of the Hippocampal Cognitive Map | 38 |
| 16 | 29 |
About Kimberly Stachenfeld
Kimberly Stachenfeld is a scholar working on Cognitive Neuroscience, Developmental Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (368 citations) and Sensory Systems (68 citations). Kimberly Stachenfeld has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Samuel J. Gershman, Matthew Botvinick, James C. R. Whittington, Alon Baram, Timothy E.J. Behrens, Shirley Mark, Zeb Kurth‐Nelson, Timothy Müller, Daniel McNamee and Neil Burgess. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.