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Christina L. Schweikert
Programming Languages
Data Mining
Knowledge Representation
Biomedical Informatics
Healthcare Informatics
About
Dr. Christina Schweikert is an Assistant Professor in the Division of Computer Science, Mathematics and Science. She has been granted a Clare Boothe Luce professorship. Dr. Schweikert completed her Ph.D. degree in Computer Science from the City University of New York, Graduate Center and has previously taught at Fordham University and the State University of New York. Dr. Schweikert’s research interests include: programming languages, data mining, knowledge representation, biomedical and healthcare informatics
Research Performance Summary
2009-2026
Active Research Span
First Recorded Paper
Analysis of autism prevalence and neurotoxins using combinatorial fusion and association rule mining
Year:
2009
Citations:
19
Venue:
2009 Ninth IEEE International Conference on Bioinformatics and
Latest Recorded Paper
A Model Fusion Approach for Enhancing Credit Approval Decision Making
Year:
2026
Citations:
0
Venue:
arXiv preprint arXiv:2601.12684
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Schweikert
Hsu
Shimojo
Research Impact by Period
Papers
8
Citations
19
Avg. Citations / Paper
2.4
H-Index
1
Papers
12
Citations
75
Avg. Citations / Paper
6.2
H-Index
5
Papers
19
Citations
177
Avg. Citations / Paper
9.3
H-Index
8
Papers
9
Citations
164
Avg. Citations / Paper
18.2
H-Index
6
Papers
2
Citations
24
Avg. Citations / Paper
12
H-Index
2
Contact and Professional Links
Detected Research Keywords
Combinatorial Fusion Analysis
Diversity Rank Score
Linked Open Data
Learning Combinatorial Fusion
Infusing Business Entrepreneurship
Business Entrepreneurship Education
Entrepreneurship Education Computer
Education Computer Science
Computer Science Curriculum
Science Curriculum Case