Timothy Hanson

1.5k total citations
10 papers, 792 citations indexed

About

Timothy Hanson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Timothy Hanson has authored 10 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Timothy Hanson's work include Neuroscience and Neural Engineering (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Neural dynamics and brain function (5 papers). Timothy Hanson is often cited by papers focused on Neuroscience and Neural Engineering (9 papers), EEG and Brain-Computer Interfaces (8 papers) and Neural dynamics and brain function (5 papers). Timothy Hanson collaborates with scholars based in United States, Bulgaria and South Korea. Timothy Hanson's co-authors include Miguel A. L. Nicolelis, Mikhail Lebedev, Joseph E. O’Doherty, Nathan Fitzsimmons, Zheng Li, Peter J. Ifft, David Schwarz, Katie Zhuang, Craig S. Henriquez and Dragan F. Dimitrov and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Timothy Hanson

10 papers receiving 778 citations

Peers

Timothy Hanson
Peter J. Ifft United States
Katie Zhuang United States
Brittany L Sorice United States
Anish A. Sarma United States
Sarah Felix United States
Alan D. Degenhart United States
Yan T. Wong Australia
Christine H Blabe United States
Jad Saab United States
Peter J. Ifft United States
Timothy Hanson
Citations per year, relative to Timothy Hanson Timothy Hanson (= 1×) peers Peter J. Ifft

Countries citing papers authored by Timothy Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Hanson

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

All Works

10 of 10 papers shown
1.
Rapoport, Benjamin I., Mark Hettick, Elton Ho, et al.. (2024). High-resolution Cortical Mapping with Conformable Microelectrodes on a Thousand-electrode Scale: A First-in-human Study (S23.008). Neurology. 102(7_supplement_1). 2 indexed citations
2.
Yazdan-Shahmorad, Azadeh, Camilo Diaz-Botia, Timothy Hanson, et al.. (2016). A Large-Scale Interface for Optogenetic Stimulation and Recording in Nonhuman Primates. Neuron. 89(5). 927–939. 71 indexed citations
3.
Ledochowitsch, Peter, Azadeh Yazdan-Shahmorad, Kristofer E. Bouchard, et al.. (2015). Strategies for optical control and simultaneous electrical readout of extended cortical circuits. Journal of Neuroscience Methods. 256. 220–231. 48 indexed citations
4.
Schwarz, David, Mikhail Lebedev, Timothy Hanson, et al.. (2014). Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nature Methods. 11(6). 670–676. 261 indexed citations
5.
Hanson, Timothy, Andrew M. Fuller, Mikhail Lebedev, Dennis A. Turner, & Miguel A. L. Nicolelis. (2012). Subcortical Neuronal Ensembles: An Analysis of Motor Task Association, Tremor, Oscillations, and Synchrony in Human Patients. Journal of Neuroscience. 32(25). 8620–8632. 32 indexed citations
6.
Hanson, Timothy, et al.. (2012). High-Side Digitally Current Controlled Biphasic Bipolar Microstimulator. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(3). 331–340. 12 indexed citations
7.
Lebedev, Mikhail, Timothy Hanson, Zheng Li, et al.. (2011). Future developments in brain-machine interface research. Clinics. 66. 25–32. 79 indexed citations
8.
Li, Zheng, Joseph E. O’Doherty, Timothy Hanson, et al.. (2009). Unscented Kalman Filter for Brain-Machine Interfaces. PLoS ONE. 4(7). e6243–e6243. 139 indexed citations
9.
Fitzsimmons, Nathan, et al.. (2007). Primate Reaching Cued by Multichannel Spatiotemporal Cortical Microstimulation. Journal of Neuroscience. 27(21). 5593–5602. 115 indexed citations
10.
Kim, Hyun Koo, Jose M. Carmena, Sean Biggs, et al.. (2007). The Muscle Activation Method: An Approach to Impedance Control of Brain-Machine Interfaces Through a Musculoskeletal Model of the Arm. IEEE Transactions on Biomedical Engineering. 54(8). 1520–1529. 33 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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