Arcot Rajasekar

Arcot Rajasekar

University of North Carolina at Chapel Hill

H-index: 29

North America-United States

About Arcot Rajasekar

Arcot Rajasekar, With an exceptional h-index of 29 and a recent h-index of 10 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of data grids, smart cities, big data, information analytics, data discovery.

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

A roadmap to advance exposomics through federation of data

NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data

NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use

Community-level exposomics: a population-centered approach to address public health concerns

Enabling scientific reproducibility through FAIR data management: An ontology-driven deep learning approach in the NeuroBridge Project

The new reality of reproducibility: The role of data work in scientific research

Arcot Rajasekar Information

University

Position

Professor of Information Science

Citations(all)

4833

Citations(since 2020)

304

Cited By

4850

hIndex(all)

29

hIndex(since 2020)

10

i10Index(all)

65

i10Index(since 2020)

10

Email

University Profile Page

University of North Carolina at Chapel Hill

Google Scholar

View Google Scholar Profile

Arcot Rajasekar Skills & Research Interests

data grids

smart cities

big data

information analytics

data discovery

Top articles of Arcot Rajasekar

Title

Journal

Author(s)

Publication Date

A roadmap to advance exposomics through federation of data

Exposome

Charles P Schmitt

Jeanette A Stingone

Arcot Rajasekar

Yuxia Cui

Xiuxia Du

...

2023/1/1

NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data

Frontiers in Neuroinformatics

Lei Wang

José Luis Ambite

Abhishek Appaji

Janine Bijsterbosch

Jerome Dockes

...

2023

NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use

Frontiers in Neuroinformatics

Satya S Sahoo

Matthew D Turner

Lei Wang

Jose Luis Ambite

Abhishek Appaji

...

2023

Community-level exposomics: a population-centered approach to address public health concerns

Exposome

Jeanette A Stingone

Andrew M Geller

Darryl B Hood

Konstantinos C Makris

Charles P Mouton

...

2023/1/1

Enabling scientific reproducibility through FAIR data management: An ontology-driven deep learning approach in the NeuroBridge Project

AMIA Annual Symposium Proceedings

Xiaochen Wang

Yue Wang

José-Luis Ambite

Abhishek Appaji

Howard Lander

...

2022

The new reality of reproducibility: The role of data work in scientific research

Proceedings of the ACM on Human-Computer Interaction

Melanie Feinberg

Will Sutherland

Sarah Beth Nelson

Mohammad Hossein Jarrahi

Arcot Rajasekar

2020/5/28

See List of Professors in Arcot Rajasekar University(University of North Carolina at Chapel Hill)