Danielle Dean

835 total citations
9 papers, 158 citations indexed

About

Danielle Dean is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Danielle Dean has authored 9 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 2 papers in Statistical and Nonlinear Physics and 2 papers in Statistics and Probability. Recurrent topics in Danielle Dean's work include Statistical Methods and Bayesian Inference (2 papers), Complex Network Analysis Techniques (2 papers) and Opinion Dynamics and Social Influence (2 papers). Danielle Dean is often cited by papers focused on Statistical Methods and Bayesian Inference (2 papers), Complex Network Analysis Techniques (2 papers) and Opinion Dynamics and Social Influence (2 papers). Danielle Dean collaborates with scholars based in United States and Italy. Danielle Dean's co-authors include Daniel J. Bauer, David B. Thordarson, Mathew Salvaris, Robert A. Zucker, Wee Hyong Tok, Nisha C. Gottfredson, Veronica T. Cole, Michael J. Shanahan, Mitchell J. Prinstein and Jason D. Boardman and has published in prestigious journals such as Addiction, Psychological Methods and Multivariate Behavioral Research.

In The Last Decade

Danielle Dean

8 papers receiving 154 citations

Peers

Danielle Dean

OSM

SURGE

CB

CP

SP

Thomas Boucher United States

Anna Gottard Italy

Jennifer Rogers United States

Amir Tal Israel

Benjamin D. Boudreaux United States

Mohamed Ben Aissa Tunisia

Michael Fleischmann Australia

Nora J. Bird United States

Marko Erceg Croatia

Kerli Mooses Estonia

Thomas Boucher United States

Danielle Dean

41 ×0.9

OSM

128 ×5.3

SURGE

20 ×1.0

CB

6 ×0.3

CP

36 ×2.1

SP

Citations per year, relative to Danielle Dean Danielle Dean (= 1×) peers Thomas Boucher

Countries citing papers authored by Danielle Dean

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Dean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Dean. 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 Danielle Dean. The network helps show where Danielle Dean may publish in the future.

Co-authorship network of co-authors of Danielle Dean

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

All Works

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9 of 9 papers shown

1.

Dean, Danielle. (2019). Utilizing multilevel event history analysis to model temporal characteristics of friendships unfolding in discrete-time social networks. Carolina Digital Repository (University of North Carolina at Chapel Hill).

2.

Salvaris, Mathew, Danielle Dean, & Wee Hyong Tok. (2018). Deep Learning with Azure. Apress eBooks. 17 indexed citations

3.

Salvaris, Mathew, Danielle Dean, & Wee Hyong Tok. (2018). Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform. CERN Document Server (European Organization for Nuclear Research). 7 indexed citations

4.

Dean, Danielle, Daniel J. Bauer, & Mitchell J. Prinstein. (2017). Friendship Dissolution Within Social Networks Modeled Through Multilevel Event History Analysis. Multivariate Behavioral Research. 52(3). 271–289. 8 indexed citations

5.

Bauldry, Shawn, Michael J. Shanahan, Ross Macmillan, et al.. (2016). Parental and adolescent health behaviors and pathways to adulthood. Social Science Research. 58. 227–242. 15 indexed citations

6.

Dean, Danielle, Veronica T. Cole, & Daniel J. Bauer. (2014). Delineating prototypical patterns of substance use initiations over time. Addiction. 110(4). 585–594. 16 indexed citations

7.

Dean, Danielle, Daniel J. Bauer, & Michael J. Shanahan. (2013). A discrete-time Multiple Event Process Survival Mixture (MEPSUM) model.. Psychological Methods. 19(2). 251–264. 15 indexed citations

8.

Bauer, Daniel J., Nisha C. Gottfredson, Danielle Dean, & Robert A. Zucker. (2012). Analyzing repeated measures data on individuals nested within groups: Accounting for dynamic group effects.. Psychological Methods. 18(1). 1–14. 31 indexed citations

9.

Dean, Danielle, et al.. (2003). The Association between Diagnosis of Plantar Fasciitis and Windlass Test Results. Foot & Ankle International. 24(3). 251–255. 49 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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