2026 Carlotta Domeniconi: 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	40	9187	8920	3910	3747	211	8285

Overview

Carlotta Domeniconi is affiliated with George Mason University in the United States and has contributed extensively to the field of computer science. Their research spans multiple areas including artificial intelligence, computer vision and pattern recognition, and molecular biology, with a total of 123 publications in computer science. The subfields in which they are most active include artificial intelligence with 77 publications, computer vision and pattern recognition with 26 publications, followed by computer science applications and molecular biology, each with 12 publications.

The main topics covered in Domeniconi's work reflect an emphasis on advanced computational techniques and applications. These topics include:

Text and Document Classification Technologies
Domain Adaptation and Few-Shot Learning
Mobile Crowdsensing and Crowdsourcing
Advanced Image and Video Retrieval Techniques
Privacy-Preserving Technologies in Data
Advanced Clustering Algorithms Research
Data Stream Mining Techniques

Their recent publications exhibit a focus on innovative machine learning models and data analysis methods. Notable papers include:

"Multi-View Multiple Clusterings Using Deep Matrix Factorization," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"Multi-label zero-shot learning with graph convolutional networks," 2020, Neural Networks
"Personalized Federated Few-Shot Learning," 2022, IEEE Transactions on Neural Networks and Learning Systems
"Active Multilabel Crowd Consensus," 2020, IEEE Transactions on Neural Networks and Learning Systems
"Attributed heterogeneous network fusion via collaborative matrix tri-factorization," 2020, Information Fusion

Domeniconi frequently publishes in prominent venues such as arXiv with 17 publications, the Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications, and IEEE Transactions on Knowledge and Data Engineering also with 4 publications. Additional venues include IEEE Transactions on Neural Networks and Learning Systems and Knowledge and Information Systems, with 3 publications each.

Collaborative efforts form an integral part of Domeniconi's research output. Frequent co-authors include Guoxian Yu, Xiangliang Zhang, Jun Wang, Lizhen Cui, and Zhongmin Yan. The collaboration with Guoxian Yu is particularly notable with 41 joint publications.

Best Publications

On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking

L. AlSumait;D. Barbara;C. Domeniconi

617
Citations
Locally adaptive metric nearest-neighbor classification

C. Domeniconi;Jing Peng;D. Gunopulos

435
Citations
Predicting protein functions using incomplete hierarchical labels

Guoxian Yu;Guoxian Yu;Hailong Zhu;Carlotta Domeniconi

324
Citations
Locally adaptive metrics for clustering high dimensional data

Carlotta Domeniconi;Dimitrios Gunopulos;Sheng Ma;Bojun Yan

319
Citations
Building semantic kernels for text classification using wikipedia

Pu Wang;Carlotta Domeniconi

298
Citations
Approximating multi-dimensional aggregate range queries over real attributes

Dimitrios Gunopulos;George Kollios;Vassilis J. Tsotras;Carlotta Domeniconi

273
Citations
Non-linear dimensionality reduction techniques for classification and visualization

Michail Vlachos;Carlotta Domeniconi;Dimitrios Gunopulos;George Kollios

253
Citations
Incremental support vector machine construction

C. Domeniconi;D. Gunopulos

247
Citations
Weighted cluster ensembles: Methods and analysis

Carlotta Domeniconi;Muna Al-Razgan

246
Citations
Topic Significance Ranking of LDA Generative Models

Loulwah Alsumait;Daniel Barbará;James Gentle;Carlotta Domeniconi

233
Citations
Proceedings of the 2012 SIAM International Conference on Data Mining

Joydeep Ghosh;Huan Liu;Ian Davidson;Carlotta Domeniconi

231
Citations
Subspace Clustering of High Dimensional Data.

Carlotta Domeniconi;Dimitris Papadopoulos;Dimitrios Gunopulos;Sheng Ma

213
Citations
Matrix factorization-based data fusion for the prediction of lncRNA-disease associations

Guangyuan Fu;Jun Wang;Carlotta Domeniconi;Guoxian Yu

204
Citations
Adaptive Nearest Neighbor Classification Using Support Vector Machines

Carlotta Domeniconi;Dimitrios Gunopulos

146
Citations
Large margin nearest neighbor classifiers

C. Domeniconi;D. Gunopulos;Jing Peng

139
Citations
Selectivity estimators for multidimensional range queries over real attributes

Dimitrios Gunopulos;George Kollios;J. Tsotras;Carlotta Domeniconi

136
Citations
Detecting outliers using transduction and statistical testing

Daniel Barbará;Carlotta Domeniconi;James P. Rogers

123
Citations
Semi-supervised classification based on random subspace dimensionality reduction

Guoxian Yu;Guoji Zhang;Carlotta Domeniconi;Zhiwen Yu

108
Citations
Incomplete Multi-View Weak-Label Learning

Qiaoyu Tan;Guoxian Yu;Carlotta Domeniconi;Jun Wang

107
Citations
Nonparametric Bayesian Co-clustering Ensembles.

Pu Wang;Kathryn B. Laskey;Carlotta Domeniconi;Michael I. Jordan

100
Citations

Frequent Co-Authors

Xiangliang Zhang University of Notre Dame

Dimitrios Gunopulos National and Kapodistrian University of Athens

Maozu Guo Beijing University of Civil Engineering and Architecture

Daniel Barbará George Mason University

Zhiwen Yu Northwestern Polytechnical University

Kathryn B. Laskey George Mason University

Ira Assent Aarhus University

Kenneth de Jong George Mason University

George Kollios Boston University

Arthur Zimek University of Southern Denmark

External Links

Personal website of Carlotta Domeniconi Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up various educational and professional opportunities. Beyond traditional bachelor’s programs, exploring affordable masters degrees can deepen technical expertise while keeping costs manageable. An online master’s degree provides flexible learning, allowing students to balance study and work.

For those aiming for leadership or academic positions, a doctorate organizational leadership online offers advanced knowledge in guiding teams and organizations—skills valuable in both tech and business sectors. Similarly, cheap online edd programs let educators pursue top credentials without excessive tuition fees.

If you’re seeking a faster pathway into the tech industry, consider easy associate degrees that pay well. These programs can lead to high-demand, lucrative jobs with a shorter time commitment, making them an excellent entry point for a Computer Science career.

No matter your background, online degree options provide flexible, affordable routes to advance your skills and broaden your career prospects in Computer Science.