Michael R. Bale

744 total citations
21 papers, 498 citations indexed

About

Michael R. Bale is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Michael R. Bale has authored 21 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 5 papers in Biomedical Engineering. Recurrent topics in Michael R. Bale's work include Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (4 papers). Michael R. Bale is often cited by papers focused on Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (8 papers) and Photoreceptor and optogenetics research (4 papers). Michael R. Bale collaborates with scholars based in United Kingdom, Spain and Italy. Michael R. Bale's co-authors include Rasmus S. Petersen, Miguel Maravall, Richard E. Palmer, Marcelo A. Montemurro, Stefano Panzeri, Marco Brambilla, Andrew Erskine, Dario Campagner, Mathew H. Evans and Riccardo Storchi and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Michael R. Bale

21 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael R. Bale United Kingdom 13 396 281 76 58 28 21 498
Hirofumi Ozeki Japan 7 541 1.4× 382 1.4× 62 0.8× 47 0.8× 18 0.6× 8 634
Ryan G. Natan United States 12 368 0.9× 185 0.7× 42 0.6× 86 1.5× 16 0.6× 19 565
Liora Garion Israel 6 187 0.5× 195 0.7× 50 0.7× 47 0.8× 19 0.7× 7 445
Jae-eun Kang Miller United States 6 301 0.8× 283 1.0× 43 0.6× 58 1.0× 16 0.6× 7 484
Bartosz Teleńczuk France 14 497 1.3× 300 1.1× 83 1.1× 21 0.4× 66 2.4× 21 590
Henry Dalgleish United Kingdom 6 325 0.8× 378 1.3× 39 0.5× 53 0.9× 6 0.2× 7 538
Suguru N. Kudoh Japan 14 216 0.5× 323 1.1× 90 1.2× 128 2.2× 7 0.3× 71 485
Nicolas M. Brunet United States 16 999 2.5× 439 1.6× 76 1.0× 37 0.6× 79 2.8× 28 1.3k
Ross Snider United States 7 450 1.1× 208 0.7× 42 0.6× 17 0.3× 36 1.3× 17 564
Jean-Sébastien Jouhanneau Germany 10 393 1.0× 418 1.5× 38 0.5× 76 1.3× 22 0.8× 11 587

Countries citing papers authored by Michael R. Bale

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Bale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Bale. 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 Michael R. Bale. The network helps show where Michael R. Bale may publish in the future.

Co-authorship network of co-authors of Michael R. Bale

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Bale. A scholar is included among the top collaborators of Michael R. Bale 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 Michael R. Bale. Michael R. Bale 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.
Janiak, Filip, Philipp Bartel, Michael R. Bale, et al.. (2022). Non-telecentric two-photon microscopy for 3D random access mesoscale imaging. Nature Communications. 13(1). 544–544. 11 indexed citations
2.
Bale, Michael R., et al.. (2020). Sequence Learning Induces Selectivity to Multiple Task Parameters in Mouse Somatosensory Cortex. Current Biology. 31(3). 473–485.e5. 9 indexed citations
3.
Bale, Michael R., et al.. (2018). Cortical Lifelogging: The Posterior Parietal Cortex as Sensory History Buffer. Neuron. 98(2). 249–252. 1 indexed citations
4.
Bale, Michael R. & Miguel Maravall. (2017). Organization of Sensory Feature Selectivity in the Whisker System. Neuroscience. 368. 70–80. 20 indexed citations
5.
Gutnisky, Diego A., Jianing Yu, Samuel Andrew Hires, et al.. (2017). Mechanisms underlying a thalamocortical transformation during active tactile sensation. PLoS Computational Biology. 13(6). e1005576–e1005576. 24 indexed citations
6.
Bale, Michael R., et al.. (2017). Learning and recognition of tactile temporal sequences by mice and humans. eLife. 6. 14 indexed citations
7.
Campagner, Dario, Mathew H. Evans, Michael R. Bale, Andrew Erskine, & Rasmus S. Petersen. (2016). Prediction of primary somatosensory neuron activity during active tactile exploration. eLife. 5. 54 indexed citations
8.
Bale, Michael R., Dario Campagner, Andrew Erskine, & Rasmus S. Petersen. (2015). Microsecond-Scale Timing Precision in Rodent Trigeminal Primary Afferents. Journal of Neuroscience. 35(15). 5935–5940. 31 indexed citations
9.
Bale, Michael R., et al.. (2015). Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing. Frontiers in Neural Circuits. 9. 50–50. 10 indexed citations
10.
Maravall, Miguel, et al.. (2013). Transformation of Adaptation and Gain Rescaling along the Whisker Sensory Pathway. PLoS ONE. 8(12). e82418–e82418. 26 indexed citations
11.
Bale, Michael R., et al.. (2013). Low-Dimensional Sensory Feature Representation by Trigeminal Primary Afferents. Journal of Neuroscience. 33(29). 12003–12012. 27 indexed citations
12.
Bale, Michael R., et al.. (2013). Phase-of-firing coding of dynamical whisker stimuli and the thalamocortical code in barrel cortex. BMC Neuroscience. 14(S1). 2 indexed citations
13.
Storchi, Riccardo, Michael R. Bale, Gabriele E. M. Biella, & Rasmus S. Petersen. (2012). Comparison of latency and rate coding for the direction of whisker deflection in the subcortical somatosensory pathway. Journal of Neurophysiology. 108(7). 1810–1821. 30 indexed citations
14.
Bale, Michael R. & Rasmus S. Petersen. (2009). Transformation in the Neural Code for Whisker Deflection Direction Along the Lemniscal Pathway. Journal of Neurophysiology. 102(5). 2771–2780. 36 indexed citations
15.
Petersen, Rasmus S., Marco Brambilla, Michael R. Bale, et al.. (2008). Diverse and Temporally Precise Kinetic Feature Selectivity in the VPm Thalamic Nucleus. Neuron. 60(5). 890–903. 76 indexed citations
16.
Montemurro, Marcelo A., Stefano Panzeri, Miguel Maravall, et al.. (2007). Role of Precise Spike Timing in Coding of Dynamic Vibrissa Stimuli in Somatosensory Thalamus. Journal of Neurophysiology. 98(4). 1871–1882. 62 indexed citations
17.
Bale, Michael R., et al.. (2002). Fabrication of ordered arrays of silicon nanopillars at selected sites. Journal of Physics D Applied Physics. 35(5). L11–L14. 12 indexed citations
18.
Bale, Michael R. & Richard E. Palmer. (2002). Microfabrication of silicon tip structures for multiple-probe scanning tunneling microscopy. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 20(1). 364–369. 11 indexed citations
19.
Bale, Michael R. & Richard E. Palmer. (2001). Deep plasma etching of piezoelectric PZT with SF6. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 19(6). 2020–2025. 25 indexed citations
20.
Bale, Michael R.. (1998). High-resolution infrared technology for soft-tissue injury detection. IEEE Engineering in Medicine and Biology Magazine. 17(4). 56–59. 7 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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