Martin A. Spacek

628 total citations
15 papers, 378 citations indexed

About

Martin A. Spacek is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrochemistry. According to data from OpenAlex, Martin A. Spacek has authored 15 papers receiving a total of 378 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 2 papers in Electrochemistry. Recurrent topics in Martin A. Spacek's work include Neural dynamics and brain function (14 papers), Neuroscience and Neural Engineering (7 papers) and Visual perception and processing mechanisms (5 papers). Martin A. Spacek is often cited by papers focused on Neural dynamics and brain function (14 papers), Neuroscience and Neural Engineering (7 papers) and Visual perception and processing mechanisms (5 papers). Martin A. Spacek collaborates with scholars based in Germany, Canada and Switzerland. Martin A. Spacek's co-authors include Nicholas V. Swindale, Timothy J. Blanche, J.F. Hetke, Laura Busse, Agnė Vaičeliūnaitė, Gaute T. Einevoll, Chu Lan Lao, Christian Leibold, Catalin Mitelut and Steffen Katzner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and Journal of Neurophysiology.

In The Last Decade

Martin A. Spacek

15 papers receiving 374 citations

Peers

Martin A. Spacek

CN

CMN

EEE

MB

BE

Ildikó Vajda Netherlands

Espen Hagen Norway

Florian Jetter Germany

Sandrine Chemla France

S. Kachiguine United States

Baptiste Lefebvre France

Matteo Garofalo Italy

Anett J. Nagy Hungary

Hiroyuki Kamioka Japan

Massimo Mascaro Italy

Ildikó Vajda Netherlands

Martin A. Spacek

278 ×0.9

CN

295 ×1.0

CMN

73 ×0.8

EEE

36 ×1.3

MB

30 ×1.2

BE

Citations per year, relative to Martin A. Spacek Martin A. Spacek (= 1×) peers Ildikó Vajda

Countries citing papers authored by Martin A. Spacek

Since Specialization

Citations

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

Fields of papers citing papers by Martin A. Spacek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin A. Spacek. 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 Martin A. Spacek. The network helps show where Martin A. Spacek may publish in the future.

Co-authorship network of co-authors of Martin A. Spacek

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

All Works

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15 of 15 papers shown

1.

Spacek, Martin A., et al.. (2024). Spiking activity in the visual thalamus is coupled to pupil dynamics across temporal scales. PLoS Biology. 22(5). e3002614–e3002614. 9 indexed citations

2.

Swindale, Nicholas V., Martin A. Spacek, Matthew R. Krause, & Catalin Mitelut. (2023). Spontaneous activity in cortical neurons is stereotyped and non-Poisson. Cerebral Cortex. 33(11). 6508–6525. 1 indexed citations

3.

Spacek, Martin A., et al.. (2022). In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules. Proceedings of the National Academy of Sciences. 119(41). e2207032119–e2207032119. 5 indexed citations

4.

Spacek, Martin A., et al.. (2022). Robust effects of corticothalamic feedback and behavioral state on movie responses in mouse dLGN. eLife. 11. 13 indexed citations

5.

Swindale, Nicholas V., Peter F. Rowat, Matthew R. Krause, Martin A. Spacek, & Catalin Mitelut. (2021). Voltage distributions in extracellular brain recordings. Journal of Neurophysiology. 125(4). 1408–1424. 1 indexed citations

6.

Vaičeliūnaitė, Agnė, et al.. (2021). Corticothalamic feedback sculpts visual spatial integration in mouse thalamus. Nature Neuroscience. 24(12). 1711–1720. 29 indexed citations

7.

Spacek, Martin A., et al.. (2021). Pupil Size Dynamics Predict dLGN Firing Mode Over a Wide Range of Timescales. SSRN Electronic Journal. 3 indexed citations

8.

Swindale, Nicholas V. & Martin A. Spacek. (2019). Visual cortex neurons phase-lock selectively to subsets of LFP oscillations. Journal of Neurophysiology. 121(6). 2364–2378. 2 indexed citations

9.

Swindale, Nicholas V., Catalin Mitelut, Timothy H. Murphy, & Martin A. Spacek. (2017). A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'. Journal of Visualized Experiments. 3 indexed citations

10.

Swindale, Nicholas V., Catalin Mitelut, Timothy H. Murphy, & Martin A. Spacek. (2017). A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'. Journal of Visualized Experiments. 2 indexed citations

11.

Swindale, Nicholas V. & Martin A. Spacek. (2016). Verification of multichannel electrode array integrity by use of cross-channel correlations. Journal of Neuroscience Methods. 263. 95–102. 7 indexed citations

12.

Swindale, Nicholas V. & Martin A. Spacek. (2014). Spike sorting for polytrodes: a divide and conquer approach. Frontiers in Systems Neuroscience. 8. 6–6. 42 indexed citations

13.

Swindale, Nicholas V. & Martin A. Spacek. (2014). Spike detection methods for polytrodes and high density microelectrode arrays. Journal of Computational Neuroscience. 38(2). 249–261. 20 indexed citations

14.

Spacek, Martin A.. (2008). Python for large-scale electrophysiology. Frontiers in Neuroinformatics. 2. 9–9. 26 indexed citations

15.

Blanche, Timothy J., Martin A. Spacek, J.F. Hetke, & Nicholas V. Swindale. (2004). Polytrodes: High-Density Silicon Electrode Arrays for Large-Scale Multiunit Recording. Journal of Neurophysiology. 93(5). 2987–3000. 215 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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