Brian M. London

1.1k total citations
10 papers, 670 citations indexed

About

Brian M. London is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Brian M. London has authored 10 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Brian M. London's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (5 papers). Brian M. London is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neural Engineering (5 papers). Brian M. London collaborates with scholars based in United States and Philippines. Brian M. London's co-authors include Lee E. Miller, Luke R. Jordan, Andrew R. Fisher, Richard L. Doty, Mary D. Sammel, Behnam Nabet, Andrew Miri, Sean R. Bittner, John P. Cunningham and Mark M. Churchland and has published in prestigious journals such as Neuron, Annals of Neurology and Journal of Neurophysiology.

In The Last Decade

Brian M. London

10 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian M. London United States	8	488	287	214	120	59	10	670
William G. Coon United States	15	424 0.9×	80 0.3×	49 0.2×	37 0.3×	22 0.4×	21	503
Tomokazu Ohshiro Japan	8	276 0.6×	113 0.4×	29 0.1×	83 0.7×	17 0.3×	12	401
Nathan Fitzsimmons United States	5	312 0.6×	254 0.9×	148 0.7×	10 0.1×	10 0.2×	5	381
Haroon Anwar United States	8	281 0.6×	140 0.5×	23 0.1×	21 0.2×	6 0.1×	14	379
Ella Striem-Amit United States	15	1.0k 2.1×	71 0.2×	28 0.1×	56 0.5×	7 0.1×	26	1.1k
Sohei Chimoto Japan	12	347 0.7×	72 0.3×	18 0.1×	71 0.6×	10 0.2×	22	424
Benjamin Dann Germany	9	330 0.7×	105 0.4×	39 0.2×	12 0.1×	5 0.1×	10	382
Aya Ben-Yakov Israel	10	493 1.0×	126 0.4×	15 0.1×	37 0.3×	8 0.1×	12	564
E. J. Tehovnik United States	10	589 1.2×	376 1.3×	35 0.2×	29 0.2×	3 0.1×	14	650
Ariel Edward Hight United States	10	195 0.4×	189 0.7×	36 0.2×	117 1.0×	6 0.1×	16	327

Countries citing papers authored by Brian M. London

Since Specialization

Citations

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

Fields of papers citing papers by Brian M. London

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. London. 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 Brian M. London. The network helps show where Brian M. London may publish in the future.

Co-authorship network of co-authors of Brian M. London

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

All Works

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10 of 10 papers shown

Russo, Abigail A., Sean R. Bittner, Sean M. Perkins, et al.. (2018). Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response. Neuron. 97(4). 953–966.e8. 163 indexed citations

Stevenson, Ian H., Brian M. London, Emily R. Oby, et al.. (2012). Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons. PLoS Computational Biology. 8(11). e1002775–e1002775. 48 indexed citations

London, Brian M. & Lee E. Miller. (2012). Responses of somatosensory area 2 neurons to actively and passively generated limb movements. Journal of Neurophysiology. 109(6). 1505–1513. 85 indexed citations

London, Brian M., et al.. (2011). Designing stimulation patterns for an afferent BMI: Representation of kinetics in somatosensory cortex. PubMed. 73. 7521–7524. 7 indexed citations

Weber, Douglas J., Brian M. London, Jim Hokanson, et al.. (2011). Limb-State Information Encoded by Peripheral and Central Somatosensory Neurons: Implications for an Afferent Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(5). 501–513. 69 indexed citations

Pennington‐Gray, Lori, et al.. (2011). Expanding the tourism crisis management planning framework to include social media: lessons from the Deepwater Horizon Oil Spill 2010. 1(3/4). 239–239. 31 indexed citations

Stevenson, Ian H., Anil Cherian, Brian M. London, et al.. (2011). Statistical assessment of the stability of neural movement representations. Journal of Neurophysiology. 106(2). 764–774. 49 indexed citations

Fagg, Andrew H., et al.. (2009). Toward a biomimetic, bidirectional, brain machine interface. PubMed. 73. 3376–3380. 6 indexed citations

London, Brian M., et al.. (2008). Electrical Stimulation of the Proprioceptive Cortex (Area 3a) Used to Instruct a Behaving Monkey. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 16(1). 32–36. 90 indexed citations

10.

London, Brian M., et al.. (2007). Predictors of prognosis in patients with olfactory disturbance. Annals of Neurology. 63(2). 159–166. 122 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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