Robert C. Cannon

1.9k total citations
39 papers, 1.1k citations indexed

About

Robert C. Cannon is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Robert C. Cannon has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 13 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Robert C. Cannon's work include Neural dynamics and brain function (20 papers), Cell Image Analysis Techniques (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). Robert C. Cannon is often cited by papers focused on Neural dynamics and brain function (20 papers), Cell Image Analysis Techniques (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). Robert C. Cannon collaborates with scholars based in United Kingdom, United States and Belgium. Robert C. Cannon's co-authors include H.V. Wheal, Dennis A. Turner, Gowri K. Pyapali, Padraig Gleeson, Sharon Crook, R. Angus Silver, Michael E. Hasselmo, Randal A. Koene, Matthew F. Nolan and Cian O’Donnell and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Trends in Neurosciences.

In The Last Decade

Robert C. Cannon

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert C. Cannon United Kingdom 17 580 413 408 293 142 39 1.1k
Padraig Gleeson United Kingdom 17 792 1.4× 527 1.3× 608 1.5× 264 0.9× 243 1.7× 45 1.7k
Thomas M. Morse United States 14 629 1.1× 472 1.1× 693 1.7× 146 0.5× 146 1.0× 27 1.7k
Felix Schürmann Switzerland 21 792 1.4× 250 0.6× 571 1.4× 197 0.7× 268 1.9× 56 1.5k
Sharon Crook United States 16 609 1.1× 252 0.6× 295 0.7× 134 0.5× 136 1.0× 57 1.0k
Thomas M. Bartol United States 24 524 0.9× 1.1k 2.7× 1.1k 2.7× 212 0.7× 145 1.0× 46 2.1k
Hans Ekkehard Pleßer Norway 15 721 1.2× 119 0.3× 277 0.7× 68 0.2× 362 2.5× 38 1.1k
Andrew P. Davison France 18 831 1.4× 227 0.5× 481 1.2× 195 0.7× 504 3.5× 47 1.5k
J. J. Johannes Hjorth Sweden 14 353 0.6× 239 0.6× 553 1.4× 51 0.2× 62 0.4× 25 842
Stephen J. Eglen United Kingdom 25 601 1.0× 912 2.2× 1.2k 2.9× 92 0.3× 126 0.9× 70 1.8k
Hermann Cuntz Germany 22 736 1.3× 284 0.7× 868 2.1× 290 1.0× 135 1.0× 45 1.5k

Countries citing papers authored by Robert C. Cannon

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Cannon. 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 Robert C. Cannon. The network helps show where Robert C. Cannon may publish in the future.

Co-authorship network of co-authors of Robert C. Cannon

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Cannon. A scholar is included among the top collaborators of Robert C. Cannon 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 Robert C. Cannon. Robert C. Cannon 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.
Gleeson, Padraig, Bóris Marin, Salvador Durá-Bernal, et al.. (2025). The NeuroML ecosystem for standardized multi-scale modeling in neuroscience. eLife. 13.
2.
Gleeson, Padraig, Bóris Marin, Salvador Durá-Bernal, et al.. (2024). The NeuroML ecosystem for standardized multi-scale modeling in neuroscience. eLife. 13.
3.
Vella, M.C., Robert C. Cannon, Sharon Crook, et al.. (2014). libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience. Frontiers in Neuroinformatics. 8. 38–38. 20 indexed citations
4.
Cannon, Robert C., et al.. (2013). Efficient calculation of the quasi-static electrical potential on a tetrahedral mesh and its implementation in STEPS. Frontiers in Computational Neuroscience. 7. 129–129. 7 indexed citations
5.
Gewaltig, Marc-Oliver & Robert C. Cannon. (2012). Quality and sustainability of software tools in neuroscience. arXiv (Cornell University). 2 indexed citations
6.
Cannon, Robert C., Cian O’Donnell, & Matthew F. Nolan. (2010). Stochastic Ion Channel Gating in Dendritic Neurons: Morphology Dependence and Probabilistic Synaptic Activation of Dendritic Spikes. PLoS Computational Biology. 6(8). e1000886–e1000886. 67 indexed citations
7.
Oliveira, Rodrigo F., Anna Terrin, Giulietta Di Benedetto, et al.. (2010). The Role of Type 4 Phosphodiesterases in Generating Microdomains of cAMP: Large Scale Stochastic Simulations. PLoS ONE. 5(7). e11725–e11725. 89 indexed citations
8.
Gleeson, Padraig, Sharon Crook, Robert C. Cannon, et al.. (2010). NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail. PLoS Computational Biology. 6(6). e1000815–e1000815. 206 indexed citations
9.
Cannon, Robert C., Marc-Oliver Gewaltig, Padraig Gleeson, et al.. (2007). Interoperability of Neuroscience Modeling Software: Current Status and Future Directions. Neuroinformatics. 5(2). 127–138. 48 indexed citations
10.
Cannon, Robert C. & G. D’Alessandro. (2006). The Ion Channel Inverse Problem: Neuroinformatics Meets Biophysics. PLoS Computational Biology. 2(8). e91–e91. 27 indexed citations
11.
Koene, Randal A., Robert C. Cannon, & Michael E. Hasselmo. (2004). Goal-directed spatial navigation of the rat depends on phases of theta oscillation in hippocampal circuitry. 2. 1328–1333. 1 indexed citations
12.
Howell, F., Robert C. Cannon, & Nigel Goddard. (2004). How do we get the data to build computational models?. Neurocomputing. 58-60. 1103–1108. 2 indexed citations
13.
Cannon, Robert C., Michael E. Hasselmo, & Randal A. Koene. (2003). From Biophysics to Behavior Catacomb2 and the Design of Biologically-Plausible Models for Spatial Navigation. Neuroinformatics. 1(1). 3–42. 35 indexed citations
14.
Goddard, Nigel, et al.. (2003). Axiope Tools for Data Management and Data Sharing. Neuroinformatics. 1(3). 271–284. 4 indexed citations
15.
Koene, Randal A., Anatoli Gorchetchnikov, Robert C. Cannon, & Michael E. Hasselmo. (2003). Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formation. Neural Networks. 16(5-6). 577–584. 73 indexed citations
16.
Cannon, Robert C.. (2001). Eggleton '71 Revisited. Oxford University Research Archive (ORA) (University of Oxford). 229. 15. 1 indexed citations
17.
Cannon, Robert C., et al.. (1999). Event based neuron models for biological simulation: a model of the locomotion circuitry of the nematode C. elegans. ePrints Soton (University of Southampton). 5 indexed citations
18.
Wheal, H.V., et al.. (1998). Pro-epileptic changes in synaptic function can be accompanied by pro-epileptic changes in neuronal excitability. Trends in Neurosciences. 21(4). 167–174. 40 indexed citations
19.
Cannon, Robert C., et al.. (1998). Endogenous pacemaker activity of rat tumour somatotrophs. The Journal of Physiology. 508(3). 883–905. 44 indexed citations
20.
Cannon, Robert C., Dennis A. Turner, Gowri K. Pyapali, & H.V. Wheal. (1998). An on-line archive of reconstructed hippocampal neurons. Journal of Neuroscience Methods. 84(1-2). 49–54. 202 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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