Tim Blakely

2.9k total citations
8 papers, 443 citations indexed

About

Tim Blakely is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Tim Blakely has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Tim Blakely's work include EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (2 papers) and Advanced Memory and Neural Computing (2 papers). Tim Blakely is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (2 papers) and Advanced Memory and Neural Computing (2 papers). Tim Blakely collaborates with scholars based in United States, Switzerland and Germany. Tim Blakely's co-authors include Jeffrey G. Ojemann, Kai J. Miller, Viren Jain, Michał Januszewski, Peter H. Li, Larry Lindsey, Mike Tyka, Jeremy Maitin-Shepard, Joergen Kornfeld and Art Pope and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Experimental Brain Research.

In The Last Decade

Tim Blakely

8 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Blakely United States	7	220	154	103	62	42	8	443
Chentao Wen Japan	4	122 0.6×	97 0.6×	164 1.6×	21 0.3×	113 2.7×	8	480
Robert Egger Germany	12	389 1.8×	304 2.0×	79 0.8×	12 0.2×	15 0.4×	17	578
Manuel Berning Germany	9	161 0.7×	247 1.6×	187 1.8×	126 2.0×	87 2.1×	9	648
Nicholas Sofroniew United States	5	447 2.0×	407 2.6×	236 2.3×	17 0.3×	75 1.8×	6	801
Larry Cauller United States	8	360 1.6×	235 1.5×	54 0.5×	14 0.2×	40 1.0×	9	563
Matthias G. Haberl France	9	191 0.9×	226 1.5×	85 0.8×	33 0.5×	23 0.5×	14	636
Alessandro Motta Germany	6	155 0.7×	137 0.9×	83 0.8×	57 0.9×	14 0.3×	6	338
Hua-an Tseng United States	9	191 0.9×	210 1.4×	67 0.7×	6 0.1×	33 0.8×	9	464
Kevin M. Boergens Germany	9	252 1.1×	255 1.7×	196 1.9×	148 2.4×	17 0.4×	18	626
Sahil Loomba Germany	3	132 0.6×	117 0.8×	67 0.7×	45 0.7×	13 0.3×	3	289

Countries citing papers authored by Tim Blakely

Since Specialization

Citations

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

Fields of papers citing papers by Tim Blakely

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Blakely

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

All Works

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8 of 8 papers shown

Li, Peter H., Larry Lindsey, Michał Januszewski, et al.. (2019). Automated Reconstruction of a Serial-Section EM Drosophila Brain with Flood-Filling Networks and Local Realignment. Microscopy and Microanalysis. 25(S2). 1364–1365. 36 indexed citations

Januszewski, Michał, Joergen Kornfeld, Peter H. Li, et al.. (2018). High-precision automated reconstruction of neurons with flood-filling networks. Nature Methods. 15(8). 605–610. 171 indexed citations

Blakely, Tim, Jared D. Olson, Kai J. Miller, Rajesh P. N. Rao, & Jeffrey G. Ojemann. (2014). Neural correlates of learning in an electrocorticographic motor-imagery brain-computer interface. PubMed. 1(3-4). 147–157. 15 indexed citations

Blakely, Tim, Felix Darvas, Jeremiah Wander, et al.. (2013). 135 Electrophysiological Evidence of the Efference Copy in Human Voluntary Movements. Neurosurgery. 60(Supplement 1). 164–165. 1 indexed citations

Johnson, Lise, Tim Blakely, Dora Hermes, et al.. (2012). Sleep spindles are locally modulated by training on a brain–computer interface. Proceedings of the National Academy of Sciences. 109(45). 18583–18588. 58 indexed citations

Anderson, Nicholas, Tim Blakely, Gerwin Schalk, Eric C. Leuthardt, & Daniel W. Moran. (2012). Electrocorticographic (ECoG) correlates of human arm movements. Experimental Brain Research. 223(1). 1–10. 40 indexed citations

Blakely, Tim, Sandra L. Poliachik, Andrew V. Poliakov, et al.. (2012). Multimodality localization of the sensorimotor cortex in pediatric patients undergoing epilepsy surgery. Journal of Neurosurgery Pediatrics. 10(1). 1–6. 57 indexed citations

Blakely, Tim, Kai J. Miller, Stavros Zanos, Rajesh P. N. Rao, & Jeffrey G. Ojemann. (2009). Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters. Neurosurgical FOCUS. 27(1). E13–E13. 65 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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