Brian C. Burke

1.1k total citations
12 papers, 818 citations indexed

About

Brian C. Burke is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Brian C. Burke has authored 12 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Sensory Systems. Recurrent topics in Brian C. Burke's work include Neural dynamics and brain function (6 papers), Olfactory and Sensory Function Studies (5 papers) and Neurobiology and Insect Physiology Research (5 papers). Brian C. Burke is often cited by papers focused on Neural dynamics and brain function (6 papers), Olfactory and Sensory Function Studies (5 papers) and Neurobiology and Insect Physiology Research (5 papers). Brian C. Burke collaborates with scholars based in United States. Brian C. Burke's co-authors include Walter Freeman, Mark Holmes, Walter J. Freeman, Sampsa Vanhatalo, Yong Yao, Qing Yang, Jeremy B. Badler, Mila Gascó‐Hernández, Teresa M. Harrison and Yongjin Choi and has published in prestigious journals such as Human Brain Mapping, Neural Networks and Clinical Neurophysiology.

In The Last Decade

Brian C. Burke

12 papers receiving 770 citations

Peers

Countries citing papers authored by Brian C. Burke

Since Specialization

Citations

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

Fields of papers citing papers by Brian C. Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian C. Burke

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Using Artificial Intelligence Techniques for Evidence-Based Decision Making in Government: Random Forest and Deep Neural Network Classification for Predicting Harmful Algal Blooms in New York State 2021 ·Yongjin Choi, (unknown), (unknown), Brian C. Burke, (unknown)	4
2	A tale of two information systems 2018 ·Teresa M. Harrison, (unknown), Theresa A. Pardo, (unknown), (unknown), (unknown), Brian C. Burke, Mila Gascó‐Hernández	6
3	Spatial spectra of scalp EEG and EMG from awake humans 2003 ·Clinical Neurophysiology ·Walter Freeman, Mark Holmes, Brian C. Burke, Sampsa Vanhatalo	282
4	Aperiodic phase re‐setting in scalp EEG of beta–gamma oscillations by state transitions at alpha–theta rates 2003 ·Human Brain Mapping ·Walter Freeman, Brian C. Burke, Mark Holmes	152
5	A NEUROBIOLOGICAL THEORY OF MEANING IN PERCEPTION PART IV: MULTICORTICAL PATTERNS OF AMPLITUDE MODULATION IN GAMMA EEG 2003 ·International Journal of Bifurcation and Chaos ·Walter Freeman, Brian C. Burke	20
6	Biologically Modeled Noise Stabilizing Neurodynamics for Pattern Recognition 1998 ·International Journal of Bifurcation and Chaos ·(unknown), Walter Freeman, Brian C. Burke	43
7	Optimization of olfactory model in software to give 1/f power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors 1998 ·Neural Networks ·(unknown), Walter J. Freeman, Brian C. Burke	53
8	Local Homeostasis Stabilizes a Model of the Olfactory System Globally in Respect to Perturbations by Input During Pattern Classification 1998 ·International Journal of Bifurcation and Chaos ·(unknown), Walter J. Freeman, Brian C. Burke	20
9	Taming chaos: stabilization of aperiodic attractors by noise [olfactory system model] 1997 ·IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ·Walter Freeman, (unknown), Brian C. Burke, (unknown), Jeremy B. Badler	54
10	Pattern recognition by a distributed neural network: An industrial application 1991 ·Neural Networks ·Yong Yao, Walter J. Freeman, Brian C. Burke, Qing Yang	83
11	Hardware architecture of a neural network model simulating pattern recognition by the olfactory bulb 1989 ·Neural Networks ·(unknown), Walter Freeman, Brian C. Burke	24
12	Central pattern generating and recognizing in olfactory bulb: A correlation learning rule 1988 ·Neural Networks ·Walter J. Freeman, Yong Yao, Brian C. Burke	77

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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