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Naren Ramakrishnan

Biographic Data

ID248599
NAMENaren Ramakrishnan
GIVEN NAMESNaren
FAMILY NAMERamakrishnan
SIGNATURERAMAKRISHNAN N
AFFILIATIONSVirginia Tech
ORCID0000-0002-1821-9743
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS5
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2020
H-INDEX2
  • Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework

    Open Access•Vanessa Cedeno-Mieles, Zhihao Hu et al.•ARTICLE•Social Network Analysis and Mining•2020•Cited by: 1•References: 132

  • Imputing Data for the Fragile Families Challenge

    Open Access•Brian J Goode, Debanjan Datta et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 2•References: 4

    The Fragile Families Challenge charged participants to predict six outcomes for 4,242 children and their families interviewed in the Fragile Families and Child Wellbeing Study. These outcome variables are grade point average, grit, material hardship, eviction, layoff and job training. The data set provided contained longitudinal survey and observational data collected on families and their children from birth to age 9. The authors used these data…

  • Multi-source models for civil unrest forecasting

    Open Access•Gizem Korkmaz, Jose Cadena et al.•ARTICLE•Social Network Analysis and Mining•2016

  • (Hyper) local news aggregation

    Andrea Kavanaugh, Ankit Ahuja et al.•ARTICLE•Government Information Quarterly•2014•Cited by: 2•References: 1

  • Imputing Data for the Fragile Families Challenge

    Open Access•Brian J Goode, Debanjan Datta et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 2•References: 4

    The Fragile Families Challenge charged participants to predict six outcomes for 4,242 children and their families interviewed in the Fragile Families and Child Wellbeing Study. These outcome variables are grade point average, grit, material hardship, eviction, layoff and job training. The data set provided contained longitudinal survey and observational data collected on families and their children from birth to age 9. The authors used these data…

  • (Hyper) local news aggregation

    Andrea Kavanaugh, Ankit Ahuja et al.•ARTICLE•Government Information Quarterly•2014•Cited by: 2•References: 1

  • Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework

    Open Access•Vanessa Cedeno-Mieles, Zhihao Hu et al.•ARTICLE•Social Network Analysis and Mining•2020•Cited by: 1•References: 132

  • (Hyper) local news aggregation

    Andrea Kavanaugh, Ankit Ahuja et al.•ARTICLE•Government Information Quarterly•2014•Cited by: 2•References: 1

  • Multi-source models for civil unrest forecasting

    Open Access•Gizem Korkmaz, Jose Cadena et al.•ARTICLE•Social Network Analysis and Mining•2016

  • Imputing Data for the Fragile Families Challenge

    Open Access•Brian J Goode, Debanjan Datta et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 2•References: 4

    The Fragile Families Challenge charged participants to predict six outcomes for 4,242 children and their families interviewed in the Fragile Families and Child Wellbeing Study. These outcome variables are grade point average, grit, material hardship, eviction, layoff and job training. The data set provided contained longitudinal survey and observational data collected on families and their children from birth to age 9. The authors used these data…

  • Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework

    Open Access•Vanessa Cedeno-Mieles, Zhihao Hu et al.•ARTICLE•Social Network Analysis and Mining•2020•Cited by: 1•References: 132

Computer Science (3 works) · Political science (3 works) · Complex Network Analysis Techniques (2 works) · Economics (2 works) · Law (2 works) · Psychology (2 works) · Sociology (2 works) · Affordance (1 work) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence (1 work)

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