Thomas Akam

2.1k total citations
27 papers, 1.0k citations indexed

About

Thomas Akam is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Thomas Akam has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Thomas Akam's work include Neural dynamics and brain function (21 papers), Photoreceptor and optogenetics research (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Thomas Akam is often cited by papers focused on Neural dynamics and brain function (21 papers), Photoreceptor and optogenetics research (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Thomas Akam collaborates with scholars based in United Kingdom, United States and Portugal. Thomas Akam's co-authors include Dimitri M. Kullmann, Mark E. Walton, Rui M. Costa, Peter Dayan, Nils Kolling, Laura Mantoan Ritter, Iris Oren, Emily Ferenczi, Marta Blanco-Pozo and Timothy E.J. Behrens and has published in prestigious journals such as Nature, Neuron and Nature Neuroscience.

In The Last Decade

Thomas Akam

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Akam United Kingdom	15	839	485	115	62	61	27	1.0k
Nikola T. Markov United States	9	1.6k 1.9×	369 0.8×	117 1.0×	76 1.2×	99 1.6×	13	1.7k
Dirk Jancke Germany	18	817 1.0×	426 0.9×	130 1.1×	53 0.9×	26 0.4×	36	1.0k
Bernhard Englitz Netherlands	20	702 0.8×	374 0.8×	127 1.1×	47 0.8×	71 1.2×	49	1.1k
Jean‐Philippe Thivierge Canada	14	931 1.1×	343 0.7×	104 0.9×	110 1.8×	103 1.7×	52	1.2k
Rishidev Chaudhuri United States	8	955 1.1×	278 0.6×	63 0.5×	129 2.1×	73 1.2×	11	1.1k
Scott L. Brincat United States	20	1.8k 2.1×	521 1.1×	81 0.7×	76 1.2×	32 0.5×	40	2.0k
Nivaldo A. P. de Vasconcelos Brazil	10	413 0.5×	320 0.7×	159 1.4×	60 1.0×	80 1.3×	18	740
Vladimir Itskov United States	13	1.4k 1.7×	970 2.0×	121 1.1×	118 1.9×	89 1.5×	21	1.8k
Tom Binzegger Switzerland	7	1.0k 1.2×	598 1.2×	89 0.8×	72 1.2×	57 0.9×	8	1.3k

Countries citing papers authored by Thomas Akam

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Akam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Akam

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

All Works

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20 of 20 papers shown

Shelton, Andrew M., David K. Oliver, Stuart N. Peirson, et al.. (2025). Single neurons and networks in the mouse claustrum integrate input from widespread cortical sources. eLife. 13. 2 indexed citations

Shelton, Andrew M., David K. Oliver, Stuart N. Peirson, et al.. (2024). Single neurons and networks in the mouse claustrum integrate input from widespread cortical sources. eLife. 13. 3 indexed citations

El-Gaby, Mohamady, et al.. (2024). A cellular basis for mapping behavioural structure. Nature. 636(8043). 671–680. 10 indexed citations

Blanco-Pozo, Marta, Thomas Akam, & Mark E. Walton. (2024). Dopamine-independent effect of rewards on choices through hidden-state inference. Nature Neuroscience. 27(2). 286–297. 13 indexed citations

Dehning, Jonas, et al.. (2023). Propagation of activity through the cortical hierarchy and perception are determined by neural variability. Nature Neuroscience. 26(9). 1584–1594. 14 indexed citations

Veen, Bastiaan van der, Thomas Akam, Birgit Liss, et al.. (2023). Control of sustained attention and impulsivity by Gq-protein signalling in parvalbumin interneurons of the anterior cingulate cortex. Translational Psychiatry. 13(1). 243–243. 8 indexed citations

Butler, James L., et al.. (2022). Complementary task representations in hippocampus and prefrontal cortex for generalizing the structure of problems. Nature Neuroscience. 25(10). 1314–1326. 44 indexed citations

Akam, Thomas, Mariangela Panniello, Cristina Márquez, et al.. (2022). Open-source, Python-based, hardware and software for controlling behavioural neuroscience experiments. eLife. 11. 21 indexed citations

Veen, Bastiaan van der, et al.. (2021). A low-cost open-source 5-choice operant box system optimized for electrophysiology and optophysiology in mice. Scientific Reports. 11(1). 22279–22279. 7 indexed citations

10.

Akam, Thomas, et al.. (2021). Distinct roles for dopamine clearance mechanisms in regulating behavioral flexibility. Molecular Psychiatry. 26(12). 7188–7199. 19 indexed citations

11.

Veen, Bastiaan van der, Stefanie Schulz, Bosiljka Tasic, et al.. (2021). Control of impulsivity by Gi-protein signalling in layer-5 pyramidal neurons of the anterior cingulate cortex. Communications Biology. 4(1). 662–662. 18 indexed citations

12.

Akam, Thomas. (2020). Two-step ACC. OSF Preprints (OSF Preprints). 1 indexed citations

13.

Akam, Thomas, et al.. (2020). The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection. Neuron. 109(1). 149–163.e7. 75 indexed citations

14.

Akam, Thomas & Mark E. Walton. (2020). What is dopamine doing in model-based reinforcement learning?. Current Opinion in Behavioral Sciences. 38. 74–82. 13 indexed citations

15.

Akam, Thomas & Mark E. Walton. (2019). pyPhotometry: Open source Python based hardware and software for fiber photometry data acquisition. Scientific Reports. 9(1). 3521–3521. 36 indexed citations

16.

Kolling, Nils & Thomas Akam. (2017). (Reinforcement?) Learning to forage optimally. Current Opinion in Neurobiology. 46. 162–169. 39 indexed citations

17.

Akam, Thomas, Rui M. Costa, & Peter Dayan. (2015). Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task. PLoS Computational Biology. 11(12). e1004648–e1004648. 80 indexed citations

18.

Bauer, Markus, Thomas Akam, Sabine Joseph, Elliot Freeman, & Jon Driver. (2012). Does visual flicker phase at gamma frequency modulate neural signal propagation and stimulus selection?. Journal of Vision. 12(4). 5–5. 5 indexed citations

19.

Akam, Thomas & Dimitri M. Kullmann. (2012). Efficient “Communication through Coherence” Requires Oscillations Structured to Minimize Interference between Signals. PLoS Computational Biology. 8(11). e1002760–e1002760. 61 indexed citations

20.

Akam, Thomas & Dimitri M. Kullmann. (2010). Oscillations and Filtering Networks Support Flexible Routing of Information. Neuron. 67(2). 308–320. 182 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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