2026 Evangelos E. Papalexakis: 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	30	13895	13470	5521	5250	199	6047

Evangelos E. Papalexakis 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 Evangelos E. Papalexakis sits on this spectrum.

32 publications 991+

This scientist: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Evangelos E. Papalexakis 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 Evangelos E. Papalexakis sits on this spectrum.

30 D-Index 131+

This scientist: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Evangelos E. Papalexakis is affiliated with the University of California, Riverside in the United States. Their research portfolio comprises more than 100 publications primarily in the field of Computer Science, with a focus on several specialized subfields.

Their main subfields of study include:

Artificial Intelligence
Computational Mathematics
Computer Vision and Pattern Recognition
Information Systems
Signal Processing

Papalexakis's work addresses a diverse set of topics such as:

Tensor decomposition and applications
Topic Modeling
Advanced Graph Neural Networks
Adversarial Robustness in Machine Learning
Misinformation and Its Impacts
Anomaly Detection Techniques and Applications
Computational Physics and Python Applications

The scientist has published frequently in several venues, including:

arXiv (Cornell University)
Proceedings of the International AAAI Conference on Web and Social Media
Data Mining and Knowledge Discovery
2021 IEEE International Conference on Big Data (Big Data)
Lecture notes in computer science

Recent papers authored under their supervision or collaboration include:

"Identifying Misinformation from Website Screenshots," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"REST: A Thread Embedding Approach for Identifying and Classifying User-Specified Information in Security Forums," 2020, Proceedings of the International AAAI Conference on Web and Social Media
"RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns from Multi-modal Data," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"Fast and memory-efficient algorithms for high-order Tucker decomposition," 2020, Knowledge and Information Systems
"Task-agnostic representation learning of multimodal twitter data for downstream applications," 2022, Journal Of Big Data

Frequent co-authors who have collaborated on multiple occasions with Papalexakis include:

William Shiao
Sara Abdali
Michalis Faloutsos
Dawon Ahn
Negin Entezari

Best Publications

Tensor Decomposition for Signal Processing and Machine Learning

Nicholas D. Sidiropoulos;Lieven De Lathauwer;Xiao Fu;Kejun Huang

1792
Citations
Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms

Evangelos E. Papalexakis;Christos Faloutsos;Nicholas D. Sidiropoulos

400
Citations
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries

U. Kang;Evangelos Papalexakis;Abhay Harpale;Christos Faloutsos

343
Citations
All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs

Negin Entezari;Saba A. Al-Sayouri;Amirali Darvishzadeh;Evangelos E. Papalexakis

249
Citations
ParCube: sparse parallelizable tensor decompositions

Evangelos E. Papalexakis;Christos Faloutsos;Nicholas D. Sidiropoulos

236
Citations
From K-Means to Higher-Way Co-Clustering: Multilinear Decomposition With Sparse Latent Factors

E. E. Papalexakis;N. D. Sidiropoulos;R. Bro

176
Citations
HaTen2: Billion-scale tensor decompositions

Inah Jeon;Evangelos E. Papalexakis;U Kang;Christos Faloutsos

173
Citations
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.

Petko Bogdanov;Christos Faloutsos;Misael Mongiovì;Evangelos E. Papalexakis

153
Citations
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop

Alex Beutel;Partha Pratim Talukdar;Abhimanu Kumar;Christos Faloutsos

141
Citations
Structure-revealing data fusion.

Evrim Acar;Evangelos E Papalexakis;Gözde Gürdeniz;Morten A Rasmussen

138
Citations
Com2: Fast Automatic Discovery of Temporal ( Comet ) Communities

Miguel Araujo;Miguel Araujo;Spiros Papadimitriou;Stephan Günnemann;Christos Faloutsos

126
Citations
Do more views of a graph help? Community detection and clustering in multi-graphs

Evangelos E. Papalexakis;Leman Akoglu;Dino Ience

117
Citations
Semi-supervised content-based detection of misinformation via tensor embeddings

Gisel Bastidas Guacho;Sara Abdali;Neil Shah;Evangelos E. Papalexakis

97
Citations
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval

Niluthpol Chowdhury Mithun;Rameswar Panda;Evangelos E. Papalexakis;Amit K. Roy-Chowdhury

85
Citations
Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition

Nicholas D. Sidiropoulos;Evangelos E. Papalexakis;Christos Faloutsos

83
Citations
Network Anomaly Detection Using Co-clustering

E. E. Papalexakis;A. Beutel;P. Steenkiste

78
Citations
SPARTan: Scalable PARAFAC2 for Large & Sparse Data

Ioakeim Perros;Evangelos E. Papalexakis;Fei Wang;Richard Vuduc

75
Citations
TensorSplat: Spotting Latent Anomalies in Time

Danai Koutra;Evangelos E. Papalexakis;Christos Faloutsos

74
Citations
HEigen: Spectral Analysis for Billion-Scale Graphs

U. Kang;Brendan Meeder;Evangelos E. Papalexakis;Christos Faloutsos

71
Citations
Automatic Unsupervised Tensor Mining with Quality Assessment.

Evangelos E. Papalexakis

69
Citations
Turbo-smt: Accelerating coupled sparse matrix-tensor factorizations by 200x

Evangelos E. Papalexakis;Christos Faloutsos;Tom M. Mitchell;Partha Pratim Talukdar

64
Citations
MalSpot: Multi2 Malicious Network Behavior Patterns Analysis

Hing-Hao Mao;Chung-Jung Wu;Evangelos E. Papalexakis;Christos Faloutsos

58
Citations
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

Ioakeim Perros;Evangelos E. Papalexakis;Haesun Park;Richard Vuduc

18
Citations

Frequent Co-Authors

Christos Faloutsos Carnegie Mellon University

Michalis Faloutsos University of California, Riverside

Nicholas D. Sidiropoulos University of Virginia

Partha Pratim Talukdar Indian Institute of Science

Danai Koutra University of Michigan–Ann Arbor

Tom M. Mitchell Carnegie Mellon University

Jimeng Sun University of Illinois at Urbana-Champaign

Rakesh Agrawal Purdue University West Lafayette

Richard Vuduc Georgia Institute of Technology

U Kang Seoul National University

External Links

Personal website of Evangelos E. Papalexakis

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