2026 Elke A. Rundensteiner: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	67	2230	2163	1113	1072	592	14899

Elke A. Rundensteiner publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Elke A. Rundensteiner sits on this spectrum.

32 publications 991+

This scientist: 592 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Elke A. Rundensteiner D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Elke A. Rundensteiner sits on this spectrum.

30 D-Index 131+

This scientist: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Elke A. Rundensteiner is affiliated with Worcester Polytechnic Institute in the United States. Their research spans multiple domains within computer science and psychology, with a strong focus on artificial intelligence and mental health applications.

The main fields of study in their work include:

Computer Science
Psychology

Within these areas, their research delves into specialized subfields such as:

Artificial Intelligence
Signal Processing
Computer Vision and Pattern Recognition
Applied Psychology
Experimental and Cognitive Psychology

The primary research topics covered include:

Digital Mental Health Interventions
Mental Health via Writing
Mental Health Research Topics
Anomaly Detection Techniques and Applications
Time Series Analysis and Forecasting
Machine Learning and Data Classification
Data Management and Algorithms

Frequent co-authors in their body of work are:

Walter Gerych
Emmanuel Agu
Luke Buquicchio
ML Tlachac
Kavin Chandrasekaran

The scientist has published extensively, with recurring appearances in key venues including:

arXiv (Cornell University)
Proceedings of the VLDB Endowment
Proceedings of the AAAI Conference on Artificial Intelligence
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
2021 IEEE International Conference on Big Data (Big Data)

Some of their recent notable papers are:

Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions, 2021, Frontiers in Psychiatry
Moodable: On feasibility of instantaneous depression assessment using machine learning on voice samples with retrospectively harvested smartphone and social media data, 2020, Smart Health
Screening For Depression With Retrospectively Harvested Private Versus Public Text, 2020, IEEE Journal of Biomedical and Health Informatics
Rank aggregation algorithms for fair consensus, 2020, Proceedings of the VLDB Endowment
Ensembles of BERT for Depression Classification, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Best Publications

Hierarchical parallel coordinates for exploration of large datasets

Ying-Huey Fua;Matthew O. Ward;Elke A. Rundensteiner

643
Citations
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering

W. Peng;M.O. Ward;E.A. Rundensteiner

398
Citations
Multiview: A Methodology for Supporting Multiple Views in Object-Oriented Databases

Elke A. Rundensteiner

311
Citations
Hierarchical encoded path views for path query processing: an optimal model and its performance evaluation

N. Jing;Y.-W. Huang;E.A. Rundensteiner

302
Citations
Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations

Yun-Wu Huang;Ning Jing;Elke A. Rundensteiner

290
Citations
Interactive hierarchical dimension ordering, spacing and filtering for exploration of high dimensional datasets

Jing Wang;Wei Peng;M.O. Ward;E.A. Rundensteiner

262
Citations
System and method for synchronizing and/or updating an existing relational database with supplemental XML data

Wang-Chien Lee;Gail Anne Mitchell;Elke Angelika Rundensteiner;Xin Zhang

216
Citations
Maintaining data warehouses over changing information sources

Elke A. Rundensteiner;Andreas Koeller;Xin Zhang

215
Citations
Runtime Semantic Query Optimization for Event Stream Processing

Luping Ding;Songting Chen;E.A. Rundensteiner;J. Tatemura

213
Citations
InterRing: an interactive tool for visually navigating and manipulating hierarchical structures

Jing Yang;M.O. Ward;E.A. Rundensteiner

201
Citations
Dynamic plan migration for continuous queries over data streams

Yali Zhu;Elke A. Rundensteiner;George T. Heineman

199
Citations
Visual hierarchical dimension reduction for exploration of high dimensional datasets

J. Yang;M. O. Ward;E. A. Rundensteiner;S. Huang

191
Citations
Automatic emotion detection in text streams by analyzing Twitter data

Maryam Hasan;Elke A. Rundensteiner;Emmanuel Agu

165
Citations
Method and system of document transformation between a source extensible markup language (XML) schema and a target XML schema

Hong Su;Harumi Anne Kuno;Elke Angelika Rundensteiner

155
Citations
Toward inquiry-based education through interacting software agents

D.E. Atkins;W.P. Birmingham;E.H. Durfee;E.J. Glover

154
Citations
Automating the transformation of XML documents

Hong Su;Harumi Kuno;Elke A. Rundensteiner

153
Citations
Method and system of valuing transformation between extensible markup language (XML) documents

Hong Su;Harumi Anne Kuno;Elke Angelika Rundensteiner;Umeshwar Dayal

145
Citations
Mapping nominal values to numbers for effective visualization

Geraldine E. Rosario;Elke A. Rundensteiner;David C. Brown;Matthew O. Ward

142
Citations
Neighbor-based pattern detection for windows over streaming data

Di Yang;Elke A. Rundensteiner;Matthew O. Ward

142
Citations
Scalable distance-based outlier detection over high-volume data streams

Lei Cao;Di Yang;Qingyang Wang;Yanwei Yu

141
Citations
A transparent schema-evolution system based on object-oriented view technology

Young-Gook Ra;E.A. Rundensteiner

139
Citations

Frequent Co-Authors

Matthew O. Ward University of Southern Mississippi

Xiangnan Kong Worcester Polytechnic Institute

Elisa Bertino Purdue University West Lafayette

Kang G. Shin University of Michigan–Ann Arbor

Samuel Madden MIT

Yanchun Zhang Victoria University

Karl Aberer École Polytechnique Fédérale de Lausanne

Wang-Chien Lee Pennsylvania State University

David Maier Portland State University

Edmund H. Durfee University of Michigan–Ann Arbor

External Links

Personal website of Elke A. Rundensteiner Google Scholar page

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