Yuri Levin‐Schwartz

915 total citations
36 papers, 588 citations indexed

About

Yuri Levin‐Schwartz is a scholar working on Signal Processing, Cognitive Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yuri Levin‐Schwartz has authored 36 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 14 papers in Cognitive Neuroscience and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yuri Levin‐Schwartz's work include Blind Source Separation Techniques (21 papers), Neural dynamics and brain function (9 papers) and Functional Brain Connectivity Studies (8 papers). Yuri Levin‐Schwartz is often cited by papers focused on Blind Source Separation Techniques (21 papers), Neural dynamics and brain function (9 papers) and Functional Brain Connectivity Studies (8 papers). Yuri Levin‐Schwartz collaborates with scholars based in United States, Italy and Mexico. Yuri Levin‐Schwartz's co-authors include Tülay Adalı, Vince D. Calhoun, Robert O. Wright, Evrim Acar, Zois Boukouvalas, Chris Gennings, Donald R. Smith, Donatella Placidi, Roberto G. Lucchini and Geng-Shen Fu and has published in prestigious journals such as PLoS ONE, NeuroImage and Proceedings of the IEEE.

In The Last Decade

Yuri Levin‐Schwartz

33 papers receiving 584 citations

Peers

Countries citing papers authored by Yuri Levin‐Schwartz

Since Specialization

Citations

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

Fields of papers citing papers by Yuri Levin‐Schwartz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuri Levin‐Schwartz. 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 Yuri Levin‐Schwartz. The network helps show where Yuri Levin‐Schwartz may publish in the future.

Co-authorship network of co-authors of Yuri Levin‐Schwartz

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Metal mixtures are associated with increased anxiety during pregnancy 2021 ·Environmental Research ·Yuri Levin‐Schwartz, Whitney Cowell, Hsiao‐Hsien Leon Hsu, Michelle Bosquet Enlow, Chitra Amarasiriwardena, Syam S. Andra, Rosalind J. Wright, Robert O. Wright	17
2	Prenatal metal mixtures and sex-specific infant negative affectivity 2021 ·Environmental Epidemiology ·Whitney Cowell, Elena Colicino, Yuri Levin‐Schwartz, Michelle Bosquet Enlow, Chitra Amarasiriwardena, Syam S. Andra, Chris Gennings, Robert O. Wright, Rosalind J. Wright	21
3	Nephrotoxic Metal Mixtures and Preadolescent Kidney Function 2021 ·Children ·Yuri Levin‐Schwartz, (unknown), Chris Gennings, Marcela Tamayo‐Ortiz, Daniel Flores, Chitra Amarasiriwardena, Ivan Pantic, Maricruz Tolentino‐Dolores, Guadalupe Estrada‐Gutiérrez, Héctor Lamadrid‐Figueroa, Martha María Téllez‐Rojo, Andrea Baccarelli, Robert O. Wright, Alison P. Sanders	9
4	Sex-specific associations between co-exposure to multiple metals and visuospatial learning in early adolescence 2020 ·Translational Psychiatry ·(unknown), Paul Curtin, (unknown), Stefano Renzetti, Giuseppa Cagna, Marco Peli, Yuri Levin‐Schwartz, Donatella Placidi, Donald R. Smith, Roberto G. Lucchini, Robert O. Wright, Megan K. Horton	28
5	Integrated measures of lead and manganese exposure improve estimation of their joint effects on cognition in Italian school-age children 2020 ·Environment International ·Yuri Levin‐Schwartz, Birgit Claus Henn, Chris Gennings, Brent A. Coull, Donatella Placidi, Megan K. Horton, Donald R. Smith, Roberto G. Lucchini, Robert O. Wright	27
6	Multi-media biomarkers: Integrating information to improve lead exposure assessment 2020 ·Environmental Research ·Yuri Levin‐Schwartz, Chris Gennings, Birgit Claus Henn, Brent A. Coull, Donatella Placidi, Roberto G. Lucchini, Donald R. Smith, Robert O. Wright	18
7	Length of gestation and birth weight are associated with indices of combined kidney biomarkers in early childhood 2019 ·PLoS ONE ·Yuri Levin‐Schwartz, Paul Curtin, Katherine Svensson, Nicolas Fernandez, Seunghee Kim‐Schulze, Gleicy M. Hair, Daniel Flores, Ivan Pantic, Marcela Tamayo‐Ortiz, María Luisa Pizano-Zárate, Chris Gennings, Lisa M. Satlin, Andrea Baccarelli, Martha María Téllez‐Rojo, Robert O. Wright, Alison P. Sanders	0
8	Time-varying associations between prenatal metal mixtures and rapid visual processing in children 2019 ·Environmental Health ·Yuri Levin‐Schwartz, Chris Gennings, Lourdes Schnaas, (unknown), David C. Bellinger, Martha María Téllez‐Rojo, Andrea Baccarelli, Robert O. Wright	32
9	Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data 2019 ·Frontiers in Neuroscience ·Evrim Acar, (unknown), Yuri Levin‐Schwartz, Vince D. Calhoun, Tülay Adalı	37
10	A method to compare the discriminatory power of data-driven methods: Application to ICA and IVA 2018 ·Journal of Neuroscience Methods ·Yuri Levin‐Schwartz, Vince D. Calhoun, Tülay Adalı	5
11	Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy 2018 ·(unknown), Yuri Levin‐Schwartz, Diego Vidaurre, Tülay Adalı, Vince D. Calhoun, Kristoffer H. Madsen, Lars Kai Hansen, Morten Mørup	2
12	Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization 2018 ·Zois Boukouvalas, Yuri Levin‐Schwartz, (unknown), Geng-Shen Fu, Tülay Adalı	4
13	Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data 2018 ·(unknown), Yuri Levin‐Schwartz, (unknown), Vince D. Calhoun, Tülay Adalı	14
14	Estimation of common subspace order across multiple datasets: Application to multi-subject fMRI data 2017 ·(unknown), Yuri Levin‐Schwartz, Tülay Adalı	5
15	A graph theoretical approach for performance comparison of ICA for fMRI analysis 2017 ·(unknown), (unknown), Yuri Levin‐Schwartz, Vince D. Calhoun, Tülay Adalı	1
16	Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia 2017 ·arXiv (Cornell University) ·Evrim Acar, Yuri Levin‐Schwartz, Vince D. Calhoun, Tülay Adalı	27
17	The role of diversity in complex ICA algorithms for fMRI analysis 2016 ·Journal of Neuroscience Methods ·(unknown), Yuri Levin‐Schwartz, Geng-Shen Fu, Sai Ma, Vince D. Calhoun, Tülay Adalı	23
18	Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data 2016 ·NeuroImage ·Yuri Levin‐Schwartz, Yang Song, Peter J. Schreier, Vince D. Calhoun, Tülay Adalı	24
19	Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties 2015 ·Proceedings of the IEEE ·Tülay Adalı, Yuri Levin‐Schwartz, Vince D. Calhoun	83
20	Multimodal Data Fusion Using Source Separation: Application to Medical Imaging 2015 ·Proceedings of the IEEE ·Tülay Adalı, Yuri Levin‐Schwartz, Vince D. Calhoun	75

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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