Kay Robbins

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	Sve	Od 2020.
Citati	5296	1998
H-indeks	35	17
i10-indeks	70	22

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Steven RobbinsProfessor of Computer Science, UTSAPotvrđena adresa e-pošte na alum.mit.edu
Scott MakeigDirector, Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSDPotvrđena adresa e-pošte na ucsd.edu
Christian KotheIntheonPotvrđena adresa e-pošte na intheon.io
W. David HairstonU.S. Army Research LaboratoryPotvrđena adresa e-pošte na mail.mil
Vernon J. LawhernArmy Research LaboratoryPotvrđena adresa e-pošte na mail.mil
Sandra G DykesSeno Medical InstrumentsPotvrđena adresa e-pošte na senomedical.com
Yufei HuangUniversity of Pittsburg Medical CenterPotvrđena adresa e-pošte na pitt.edu
Jia MengDept of Biosciences and Bioinformatics, Xi'an Jiaotong-Liverpool UniversityPotvrđena adresa e-pošte na xjtlu.edu.cn
Scott KerickUS Army Research LaboratoryPotvrđena adresa e-pošte na mail.mil
Gemunu GunaratneUniversity of HoustonPotvrđena adresa e-pošte na uh.edu
Antonio PalaciosSan Diego State UniversityPotvrđena adresa e-pošte na euler.sdsu.edu
Marissa WesterfieldUniversity of California San DiegoPotvrđena adresa e-pošte na ucsd.edu
Kenneth L HolladaySouthwest Research InstitutePotvrđena adresa e-pošte na swri.org
Kenneth BallGeometric Data Analytics, Inc.Potvrđena adresa e-pošte na geomdata.com
Kaleb McDowellArmy Research LaboratoryPotvrđena adresa e-pošte na mail.mil
Jeffery von RonneAssociate Professor of Computer Science, The University of Texas at San AntonioPotvrđena adresa e-pošte na utsa.edu
Nima Bigdely-Shamlo

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Kay Robbins

Professor Emeritus of Computer Science University of Texas at San Antonio

Potvrđena adresa e-pošte na utsa.edu

Visualization data analysis big data neuroinformatics bioinformatics


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
The PREP pipeline: standardized preprocessing for large-scale EEG analysis N Bigdely-Shamlo, T Mullen, C Kothe, KM Su, KA Robbins Frontiers in neuroinformatics 9, 16, 2015	1215	2015
Propagating waves mediate information transfer in the motor cortex D Rubino, KA Robbins, NG Hatsopoulos Nature neuroscience 9 (12), 1549-1557, 2006	537	2006
An empirical evaluation of client-side server selection algorithms SG Dykes, KA Robbins, CL Jeffery Proceedings IEEE INFOCOM 2000. Conference on computer communications …, 2000	221	2000
Detection and classification of subject-generated artifacts in EEG signals using autoregressive models V Lawhern, WD Hairston, K McDowell, M Westerfield, K Robbins Journal of neuroscience methods 208 (2), 181-189, 2012	188	2012
Nonlinear dynamics of a convection loop: a quantitative comparison of experiment with theory M Gorman, PJ Widmann, KA Robbins Physica D: Nonlinear Phenomena 19 (2), 255-267, 1986	148	1986
Periodic solutions and bifurcation structure at high R in the Lorenz model KA Robbins SIAM Journal on Applied Mathematics 36 (3), 457-472, 1979	143	1979
A new approach to subcritical instability and turbulent transitions in a simple dynamo KA Robbins Mathematical Proceedings of the Cambridge Philosophical Society 82 (2), 309-325, 1977	134	1977
A viability analysis of cooperative proxy caching SG Dykes, KA Robbins Proceedings IEEE INFOCOM 2001. Conference on Computer Communications …, 2001	125	2001
How sensitive are EEG results to preprocessing methods: a benchmarking study KA Robbins, J Touryan, T Mullen, C Kothe, N Bigdely-Shamlo IEEE transactions on neural systems and rehabilitation engineering 28 (5 …, 2020	119	2020
UNIX systems programming: communication, concurrency, and threads KA Robbins, S Robbins Prentice Hall Professional, 2003	117	2003
Practical UNIX programming: a guide to concurrency, communication, and multithreading KA Robbins, S Robbins Prentice-Hall, Inc., 1995	99	1995
Chaotic flow regimes in a convection loop M Gorman, PJ Widmann, KA Robbins Physical Review Letters 52 (25), 2241, 1984	91	1984
BLINKER: Automated extraction of ocular indices from EEG enabling large-scale analysis K Kleifges, N Bigdely-Shamlo, SE Kerick, KA Robbins Frontiers in neuroscience 11, 12, 2017	88	2017
Experimental observation of ordered states of cellular flames M Gorman, M El-Hamdi, KA Robbins Combustion science and technology 98 (1-3), 37-45, 1994	83	1994
Detecting alpha spindle events in EEG time series using adaptive autoregressive models V Lawhern, S Kerick, KA Robbins BMC neuroscience 14, 1-16, 2013	73	2013
Modal behavior of cortical neural networks during visual processing DM Senseman, KA Robbins The Journal of Neuroscience 19 (10), RC3, 1999	71	1999
Cellular pattern formation in circular domains A Palacios, GH Gunaratne, M Gorman, KA Robbins Chaos: An Interdisciplinary Journal of Nonlinear Science 7 (3), 463-475, 1997	71	1997
Rotating and modulated rotating states of cellular flames M Gorman, CF Hamill, M El-Hadi, KA Robbins Combustion science and technology 98 (1-3), 25-35, 1994	71	1994
DETECT: A MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals V Lawhern, WD Hairston, K Robbins PloS one 8 (4), e62944, 2013	70	2013
Deterministic chaos in laminar premixed flames: Experimental classification of chaotic dynamics M el-HAMDI, M Gorman, KA Robbins Combustion science and technology 94 (1-6), 87-101, 1993	67	1993

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