Daniel T. Seaton

Massachusetts Institute of Technology

H-index: 27

North America-United States

About Daniel T. Seaton

Daniel T. Seaton, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Learning Analytics, Data Science, Physics Education Research, Computational Physics, coarse-grained polymer systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

A tool for enabling reflection and exploration of bilingual and L2 writing behavior through revision history analytics

Effects of lattice constraints in coarse-grained protein models

A Theory of Action for Classifying and Implementing Online Text-Based Curriculum Materials Using Natural Language Processing

Daniel T. Seaton Information

University	Massachusetts Institute of Technology
Position	___
Citations(all)	5359
Citations(since 2020)	2181
Cited By	4026
hIndex(all)	27
hIndex(since 2020)	22
i10Index(all)	42
i10Index(since 2020)	29
Email	Access Email
University Profile Page	Massachusetts Institute of Technology
Google Scholar	View Google Scholar Profile

Daniel T. Seaton Skills & Research Interests

Learning Analytics

Data Science

Physics Education Research

Computational Physics

coarse-grained polymer systems

Top articles of Daniel T. Seaton

Title	Journal	Author(s)	Publication Date
A tool for enabling reflection and exploration of bilingual and L2 writing behavior through revision history analytics		Selen Türkay Bahar Otcu-Grillman Daniel Seaton	2024/4/12
Effects of lattice constraints in coarse-grained protein models	The Journal of Chemical Physics	Alfred CK Farris Daniel T Seaton David P Landau	2021/2/28
A Theory of Action for Classifying and Implementing Online Text-Based Curriculum Materials Using Natural Language Processing		Aaron Kessler Anindya Roy Daniel Seaton	2020