Evangelos E. Papalexakis

5.7k total citations · 1 hit paper
112 papers, 2.9k citations indexed

About

Evangelos E. Papalexakis is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Evangelos E. Papalexakis has authored 112 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 48 papers in Computational Mathematics and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Evangelos E. Papalexakis's work include Tensor decomposition and applications (48 papers), Complex Network Analysis Techniques (21 papers) and Algorithms and Data Compression (18 papers). Evangelos E. Papalexakis is often cited by papers focused on Tensor decomposition and applications (48 papers), Complex Network Analysis Techniques (21 papers) and Algorithms and Data Compression (18 papers). Evangelos E. Papalexakis collaborates with scholars based in United States, India and South Korea. Evangelos E. Papalexakis's co-authors include Christos Faloutsos, Nicholas D. Sidiropoulos, Kejun Huang, Xiao Fu, Lieven De Lathauwer, U Kang, Rasmus Bro, Abhay Harpale, Amirali Darvishzadeh and Partha Talukdar and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and BMC Bioinformatics.

In The Last Decade

Evangelos E. Papalexakis

100 papers receiving 2.8k citations

Hit Papers

Tensor Decomposition for Signal Processing and Machine Le... 2017 2026 2020 2023 2017 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tensor Decomposition for Signal Processing and Machine Learning
    2017 981 citations Nicholas D. Sidiropoulos, Kejun Huang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Evangelos E. Papalexakis United States 23 1.5k 1.1k 484 465 423 112 2.9k
Daniel Dunlavy United States 14 555 0.4× 339 0.3× 263 0.5× 150 0.3× 141 0.3× 34 1.1k
U Kang South Korea 32 523 0.3× 1.9k 1.8× 70 0.1× 471 1.0× 1.5k 3.6× 161 3.8k
Gaogang Xie China 34 304 0.2× 843 0.8× 333 0.7× 280 0.6× 265 0.6× 331 3.9k
Spiros Papadimitriou United States 23 227 0.1× 1.5k 1.4× 78 0.2× 665 1.4× 456 1.1× 53 2.7k
James Cheng Hong Kong 38 227 0.1× 2.2k 2.1× 387 0.8× 1.2k 2.6× 2.1k 4.9× 137 4.7k
Lifang He China 33 203 0.1× 2.2k 2.1× 105 0.2× 211 0.5× 1.0k 2.5× 175 4.2k
Matthew Roughan Australia 34 151 0.1× 1.9k 1.8× 540 1.1× 449 1.0× 207 0.5× 139 5.9k
Fanhua Shang China 26 296 0.2× 741 0.7× 744 1.5× 251 0.5× 1.2k 2.8× 99 2.1k
Richard Vuduc United States 32 320 0.2× 711 0.7× 195 0.4× 100 0.2× 426 1.0× 132 3.7k
Hisashi Kashima Japan 29 143 0.1× 1.7k 1.6× 154 0.3× 256 0.6× 459 1.1× 136 2.7k

Countries citing papers authored by Evangelos E. Papalexakis

Since Specialization
Citations

This map shows the geographic impact of Evangelos E. Papalexakis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Evangelos E. Papalexakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evangelos E. Papalexakis more than expected).

Fields of papers citing papers by Evangelos E. Papalexakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evangelos E. Papalexakis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Evangelos E. Papalexakis. The network helps show where Evangelos E. Papalexakis may publish in the future.

Co-authorship network of co-authors of Evangelos E. Papalexakis

This figure shows the co-authorship network connecting the top 25 collaborators of Evangelos E. Papalexakis. A scholar is included among the top collaborators of Evangelos E. Papalexakis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evangelos E. Papalexakis. Evangelos E. Papalexakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Papalexakis, Evangelos E., et al.. (2025). Improving Out-of-Vocabulary Hashing in Recommendation Systems. 2521–2530.
2.
Qian, Zhiyun, Chengyu Song, Evangelos E. Papalexakis, et al.. (2024). DNS Exfiltration Guided by Generative Adversarial Networks. eScholarship (California Digital Library). 580–599. 3 indexed citations
3.
Xiao, Wenlong, et al.. (2024). Cross-Task Defense: Instruction-Tuning LLMs for Content Safety. PubMed. 2024. 85–93.
4.
Liu, Yozen, et al.. (2023). CARL-G: Clustering-Accelerated Representation Learning on Graphs. arXiv (Cornell University). 2036–2048. 2 indexed citations
5.
Miller, Benjamin A., et al.. (2023). TenGAN: adversarially generating multiplex tensor graphs. Data Mining and Knowledge Discovery. 38(1). 1–21.
6.
Chen, Jia, et al.. (2022). TENALIGN: Joint Tensor Alignment and Coupled Factorization. 568–577. 1 indexed citations
7.
Papalexakis, Evangelos E., et al.. (2022). Low-rank Defenses Against Adversarial Attacks in Recommender Systems. 2022 IEEE International Conference on Big Data (Big Data). 5708–5714.
8.
Xu, Derek, et al.. (2022). SV-Learn: Learning Matrix Singular Values with Neural Networks. 1 indexed citations
9.
Papalexakis, Evangelos E., et al.. (2022). Adaptive granularity in tensors: A quest for interpretable structure. Frontiers in Big Data. 5. 929511–929511. 2 indexed citations
10.
Papalexakis, Evangelos E., et al.. (2022). Multi-aspect Matrix Factorization based Visualization of Convolutional Neural Networks. 106. 1–12.
11.
Papalexakis, Evangelos E., et al.. (2020). Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3293–3298. 4 indexed citations
12.
Papalexakis, Evangelos E., et al.. (2020). NSVD : Normalized Singular Value Deviation Reveals Number of Latent Factors in Tensor Decomposition. Big Data. 8(5). 412–430. 3 indexed citations
13.
Papalexakis, Evangelos E., et al.. (2019). Robust Multi-Relational Learning With Absolute Projection Rescal. 1–5. 3 indexed citations
14.
Papalexakis, Evangelos E., et al.. (2019). Generating Document Embeddings for Humor Recognition using Tensor Decomposition.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 151–159. 1 indexed citations
15.
Papalexakis, Evangelos E. & Christos Faloutsos. (2016). Unsupervised Tensor Mining for Big Data Practitioners. Big Data. 4(3). 179–191. 5 indexed citations
16.
Pelechrinis, Konstantinos & Evangelos E. Papalexakis. (2016). The Anatomy of American Football: Evidence from 7 Years of NFL Game Data. PLoS ONE. 11(12). e0168716–e0168716. 5 indexed citations
17.
Huang, Kejun, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, et al.. (2015). Principled Neuro-Functional Connectivity Discovery. 631–639. 6 indexed citations
18.
Papalexakis, Evangelos E., Dong Nguyen, & A. Seza Doğruöz. (2014). Predicting Code-switching in Multilingual Communication for Immigrant Communities. University of Twente Research Information. 42–50. 16 indexed citations
19.
Papalexakis, Evangelos E., Christos Faloutsos, Tom M. Mitchell, et al.. (2014). Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x. PubMed. 2014. 118–126. 35 indexed citations
20.
Acar, Evrim, Evangelos E. Papalexakis, Gözde Gürdeniz, et al.. (2014). Structure-revealing data fusion. BMC Bioinformatics. 15(1). 239–239. 77 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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