Mark D. Humphries

5.3k total citations · 1 hit paper
59 papers, 3.4k citations indexed

About

Mark D. Humphries is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Mark D. Humphries has authored 59 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 27 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Mark D. Humphries's work include Neural dynamics and brain function (35 papers), Neuroscience and Neuropharmacology Research (18 papers) and Neurological disorders and treatments (11 papers). Mark D. Humphries is often cited by papers focused on Neural dynamics and brain function (35 papers), Neuroscience and Neuropharmacology Research (18 papers) and Neurological disorders and treatments (11 papers). Mark D. Humphries collaborates with scholars based in United Kingdom, France and United States. Mark D. Humphries's co-authors include Kevin Gurney, Tony J. Prescott, Robert D. Stewart, Peter Redgrave, Mehdi Khamassi, Angela Bruno, William N. Frost, Boris Gutkin, Romain D. Cazé and K. R. Gurney and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Mark D. Humphries

57 papers receiving 3.3k citations

Hit Papers

Network ‘Small-World-Ness’: A Quantitative Method for Det... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. Humphries United Kingdom 24 2.2k 1.2k 473 344 300 59 3.4k
Kevin Gurney United Kingdom 29 3.7k 1.7× 2.0k 1.7× 926 2.0× 374 1.1× 511 1.7× 107 6.2k
Bradley Voytek United States 35 5.0k 2.2× 1.9k 1.6× 516 1.1× 180 0.5× 572 1.9× 73 6.5k
Jeffrey S. Anderson United States 34 3.9k 1.7× 858 0.7× 160 0.3× 933 2.7× 277 0.9× 106 5.0k
Michel Le Van Quyen France 47 5.7k 2.6× 2.3k 2.0× 236 0.5× 201 0.6× 631 2.1× 107 7.0k
Klaus Linkenkaer‐Hansen Netherlands 35 4.8k 2.2× 748 0.6× 110 0.2× 185 0.5× 315 1.1× 73 5.6k
Daniel Durstewitz Germany 33 3.8k 1.7× 2.1k 1.8× 181 0.4× 132 0.4× 748 2.5× 81 5.2k
Rafał Bogacz United Kingdom 38 4.4k 2.0× 1.6k 1.4× 1.2k 2.5× 112 0.3× 305 1.0× 121 6.6k
Marcus Kaiser United Kingdom 37 4.2k 1.9× 682 0.6× 325 0.7× 1.3k 3.7× 487 1.6× 135 5.8k
Susana Martínez‐Conde United States 39 3.9k 1.8× 904 0.8× 296 0.6× 528 1.5× 723 2.4× 128 6.1k
Stephen L. Macknik United States 41 4.7k 2.1× 900 0.8× 246 0.5× 554 1.6× 763 2.5× 140 6.7k

Countries citing papers authored by Mark D. Humphries

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Humphries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Humphries. 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 Mark D. Humphries. The network helps show where Mark D. Humphries may publish in the future.

Co-authorship network of co-authors of Mark D. Humphries

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Humphries. A scholar is included among the top collaborators of Mark D. Humphries 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 Mark D. Humphries. Mark D. Humphries 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.
Humphries, Mark D.. (2025). The Computational Bottleneck of Basal Ganglia Output (and What to Do About it). eNeuro. 12(4). ENEURO.0431–23.2024. 1 indexed citations
2.
Maggi, Silvia, Martin O’Neill, Mark J. Buckley, et al.. (2024). Tracking subjects’ strategies in behavioural choice experiments at trial resolution. eLife. 13. 6 indexed citations
3.
Perich, Matthew G., et al.. (2024). Motor Cortex Latent Dynamics Encode Spatial and Temporal Arm Movement Parameters Independently. Journal of Neuroscience. 44(35). e1777232024–e1777232024. 1 indexed citations
4.
Humphries, Mark D., et al.. (2023). Novel Articulating Mechanism Design for a Movable-Nose Missile Concept. AIAA SCITECH 2023 Forum. 1 indexed citations
5.
Maggi, Silvia & Mark D. Humphries. (2022). Activity Subspaces in Medial Prefrontal Cortex Distinguish States of the World. Journal of Neuroscience. 42(20). 4131–4146. 9 indexed citations
6.
Humphries, Mark D., et al.. (2021). Bayesian Mapping of the Striatal Microcircuit Reveals Robust Asymmetries in the Probabilities and Distances of Connections. Journal of Neuroscience. 42(8). 1417–1435. 2 indexed citations
7.
Peyrache, Adrien, et al.. (2019). Medial prefrontal cortex population activity is plastic irrespective of learning. Journal of Neuroscience. 39(18). 1370–17. 11 indexed citations
8.
Maggi, Silvia, Adrien Peyrache, & Mark D. Humphries. (2018). An ensemble code in medial prefrontal cortex links prior events to outcomes during learning. Nature Communications. 9(1). 2204–2204. 13 indexed citations
9.
Humphries, Mark D.. (2017). Dynamical networks: Finding, measuring, and tracking neural population activity using network science. Network Neuroscience. 1(4). 324–338. 12 indexed citations
10.
Gurney, Kevin, Mark D. Humphries, & Peter Redgrave. (2015). A New Framework for Cortico-Striatal Plasticity: Behavioural Theory Meets In Vitro Data at the Reinforcement-Action Interface. PLoS Biology. 13(1). e1002034–e1002034. 85 indexed citations
11.
Bruno, Angela, William N. Frost, & Mark D. Humphries. (2015). Modular Deconstruction Reveals the Dynamical and Physical Building Blocks of a Locomotion Motor Program. Neuron. 86(1). 304–318. 42 indexed citations
12.
Frost, William N., Christopher Brandon, Angela Bruno, et al.. (2015). Monitoring Spiking Activity of Many Individual Neurons in Invertebrate Ganglia. Advances in experimental medicine and biology. 859. 127–145. 4 indexed citations
13.
Humphries, Mark D., et al.. (2015). Finding communities in sparse networks. Scientific Reports. 5(1). 8828–8828. 13 indexed citations
14.
Cazé, Romain D., Mark D. Humphries, & Boris Gutkin. (2012). Spiking and saturating dendrites differentially expand single neuron computation capacity. Research Explorer (The University of Manchester). 25. 1070–1078. 8 indexed citations
15.
Humphries, Mark D., et al.. (2012). Population-wide distributions of neural activity during perceptual decision-making. Progress in Neurobiology. 103. 156–193. 55 indexed citations
16.
Khamassi, Mehdi & Mark D. Humphries. (2012). Integrating cortico-limbic-basal ganglia architectures for learning model-based and model-free navigation strategies. Frontiers in Behavioral Neuroscience. 6. 79–79. 67 indexed citations
17.
Humphries, Mark D., et al.. (2010). Reconstructing the Three-Dimensional GABAergic Microcircuit of the Striatum. PLoS Computational Biology. 6(11). e1001011–e1001011. 38 indexed citations
18.
Lowe, Robert, Mark D. Humphries, & Tom Ziemke. (2009). The dual-route hypothesis: evaluating a neurocomputational model of fear conditioning in rats. Connection Science. 21(1). 15–37. 14 indexed citations
19.
Humphries, Mark D. & Tony J. Prescott. (2009). The ventral basal ganglia, a selection mechanism at the crossroads of space, strategy, and reward.. Progress in Neurobiology. 90(4). 385–417. 268 indexed citations
20.
Humphries, Mark D. & Kevin Gurney. (2008). Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence. PLoS ONE. 3(4). e0002051–e0002051. 1020 indexed citations breakdown →

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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