Daniel McNamee

1.2k total citations
20 papers, 604 citations indexed

About

Daniel McNamee is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Automotive Engineering. According to data from OpenAlex, Daniel McNamee has authored 20 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Automotive Engineering. Recurrent topics in Daniel McNamee's work include Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (5 papers). Daniel McNamee is often cited by papers focused on Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (5 papers). Daniel McNamee collaborates with scholars based in United Kingdom, United States and Portugal. Daniel McNamee's co-authors include John P. O’Doherty, Daniel M. Wolpert, Antonio Rangel, Sang Wan Lee, Ondrej Zika, Mimi Liljeholm, Peter Bossaerts, Ryan K. Jessup, Charlotte Prévost and Samuel J. Gershman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Daniel McNamee

19 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel McNamee United Kingdom 10 467 104 88 87 38 20 604
Aaron Schurger France 23 1.3k 2.9× 168 1.6× 127 1.4× 88 1.0× 31 0.8× 38 1.5k
Juan E. Kamienkowski Argentina 13 515 1.1× 82 0.8× 85 1.0× 91 1.0× 51 1.3× 36 711
Leanne Boucher United States 13 1.1k 2.3× 65 0.6× 96 1.1× 94 1.1× 62 1.6× 33 1.2k
Niels A Kloosterman Germany 12 757 1.6× 63 0.6× 99 1.1× 75 0.9× 22 0.6× 19 846
Assaf Breska Israel 15 873 1.9× 147 1.4× 203 2.3× 51 0.6× 41 1.1× 27 1.0k
David Thura Canada 14 876 1.9× 173 1.7× 55 0.6× 97 1.1× 52 1.4× 26 977
Helen C. Barron United Kingdom 13 823 1.8× 69 0.7× 96 1.1× 327 3.8× 46 1.2× 17 995
Juan R. Vidal France 18 975 2.1× 81 0.8× 126 1.4× 149 1.7× 59 1.6× 27 1.1k
Arbora Resulaj United States 5 479 1.0× 76 0.7× 42 0.5× 106 1.2× 47 1.2× 5 568
Patrick H. Khader Germany 18 845 1.8× 75 0.7× 115 1.3× 73 0.8× 126 3.3× 29 1.0k

Countries citing papers authored by Daniel McNamee

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McNamee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel McNamee

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

All Works

20 of 20 papers shown
1.
Brunec, Iva K., et al.. (2025). Expert navigators deploy rational complexity–based decision precaching for large-scale real-world planning. Proceedings of the National Academy of Sciences. 122(4). e2407814122–e2407814122. 4 indexed citations
2.
Louie, Kenway, et al.. (2025). A multidimensional distributional map of future reward in dopamine neurons. Nature. 642(8068). 691–699. 4 indexed citations
3.
Coutrot, Antoine, Jan Wiener, Jeremy Morley, et al.. (2024). London taxi drivers exploit neighbourhood boundaries for hierarchical route planning. Cognition. 256. 106014–106014. 3 indexed citations
4.
McNamee, Daniel. (2024). The generative neural microdynamics of cognitive processing. Current Opinion in Neurobiology. 85. 102855–102855. 2 indexed citations
5.
Wimmer, G. Elliott, Yunzhe Liu, Daniel McNamee, & Raymond J. Dolan. (2023). Distinct replay signatures for prospective decision-making and memory preservation. Proceedings of the National Academy of Sciences. 120(6). e2205211120–e2205211120. 14 indexed citations
6.
Nour, Matthew M., Daniel McNamee, Yunzhe Liu, & Raymond J. Dolan. (2023). Trajectories through semantic spaces in schizophrenia and the relationship to ripple bursts. Proceedings of the National Academy of Sciences. 120(42). e2305290120–e2305290120. 9 indexed citations
7.
McNamee, Daniel, Kimberly Stachenfeld, Matthew Botvinick, & Samuel J. Gershman. (2022). Compositional Sequence Generation in the Entorhinal–Hippocampal System. Entropy. 24(12). 1791–1791. 5 indexed citations
8.
McNamee, Daniel, Kimberly Stachenfeld, Matthew Botvinick, & Samuel J. Gershman. (2021). Flexible modulation of sequence generation in the entorhinal–hippocampal system. Nature Neuroscience. 24(6). 851–862. 33 indexed citations
9.
Manley, Ed, et al.. (2021). What determines a boundary for navigating a complex street network: evidence from London taxi drivers. Journal of Navigation. 75(1). 15–34. 5 indexed citations
10.
Banca, Paula, Daniel McNamee, Thomas Piercy, Qiang Luo, & Trevor W. Robbins. (2020). A Mobile Phone App for the Generation and Characterization of Motor Habits. Frontiers in Psychology. 10. 2850–2850. 6 indexed citations
11.
Carroll, Timothy J., Daniel McNamee, James N. Ingram, & Daniel M. Wolpert. (2019). Rapid Visuomotor Responses Reflect Value-Based Decisions. Journal of Neuroscience. 39(20). 3906–3920. 30 indexed citations
12.
McNamee, Daniel & Daniel M. Wolpert. (2019). Internal Models in Biological Control. PubMed. 2(1). 339–364. 133 indexed citations
13.
McNamee, Daniel, Daniel M. Wolpert, & Máté Lengyel. (2016). Efficient state-space modularization for planning: theory, behavioral and neural signatures. Cambridge University Engineering Department Publications Database. 29. 4518–4526. 9 indexed citations
14.
McNamee, Daniel, Mimi Liljeholm, Ondrej Zika, & John P. O’Doherty. (2015). Characterizing the Associative Content of Brain Structures Involved in Habitual and Goal-Directed Actions in Humans: A Multivariate fMRI Study. Journal of Neuroscience. 35(9). 3764–3771. 56 indexed citations
15.
O’Doherty, John P., Sang Wan Lee, & Daniel McNamee. (2014). The structure of reinforcement-learning mechanisms in the human brain. Current Opinion in Behavioral Sciences. 1. 94–100. 60 indexed citations
16.
McNamee, Daniel, Antonio Rangel, & John P. O’Doherty. (2013). Category-dependent and category-independent goal-value codes in human ventromedial prefrontal cortex. Nature Neuroscience. 16(4). 479–485. 161 indexed citations
17.
Prévost, Charlotte, Daniel McNamee, Ryan K. Jessup, Peter Bossaerts, & John P. O’Doherty. (2013). Evidence for Model-based Computations in the Human Amygdala during Pavlovian Conditioning. PLoS Computational Biology. 9(2). e1002918–e1002918. 55 indexed citations
18.
McNamee, Daniel. (2010). Climate Change, the Kyoto Protocol, and the World Trade Organization: Challenges and Conflicts. eYLS (Yale Law School). 6(2). 9.
19.
Lazaroiu, Calin Iuliu, Daniel McNamee, & Christian Sämann. (2009). Generalized Berezin-Toeplitz quantization of Kähler supermanifolds. Journal of High Energy Physics. 2009(5). 55–55. 4 indexed citations
20.
Lazaroiu, Calin Iuliu, Daniel McNamee, & Christian Sämann. (2008). Generalized Berezin quantization, Bergman metrics and fuzzy laplacians. Journal of High Energy Physics. 2008(9). 59–59. 11 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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