Alex Beutel

5.3k total citations · 1 hit paper
47 papers, 2.1k citations indexed

About

Alex Beutel is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Alex Beutel has authored 47 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 24 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Alex Beutel's work include Spam and Phishing Detection (12 papers), Recommender Systems and Techniques (12 papers) and Complex Network Analysis Techniques (10 papers). Alex Beutel is often cited by papers focused on Spam and Phishing Detection (12 papers), Recommender Systems and Techniques (12 papers) and Complex Network Analysis Techniques (10 papers). Alex Beutel collaborates with scholars based in United States, China and Switzerland. Alex Beutel's co-authors include Christos Faloutsos, Alexander J. Smola, Amr Ahmed, Chao-Yuan Wu, How Jing, Ed H., Neil Shah, Peng Cui, Meng Jiang and Shiqiang Yang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Alex Beutel

44 papers receiving 2.0k citations

Hit Papers

Recurrent Recommender Networks 2017 2026 2020 2023 2017 100 200 300 400
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. Recurrent Recommender Networks
    2017 416 citations Chao-Yuan Wu, Amr Ahmed et al. profile →

Peers

Alex Beutel
Hua-Jun Zeng China
Panagiotis Symeonidis Greece
Jason D. M. Rennie United States
Guibing Guo China
Jian-Tao Sun China
Danai Koutra United States
Claudio Lucchese Italy
Jiliang Tang United States
Hua-Jun Zeng China
Alex Beutel
Citations per year, relative to Alex Beutel Alex Beutel (= 1×) peers Hua-Jun Zeng

Countries citing papers authored by Alex Beutel

Since Specialization
Citations

This map shows the geographic impact of Alex Beutel'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 Alex Beutel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Beutel more than expected).

Fields of papers citing papers by Alex Beutel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Beutel. 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 Alex Beutel. The network helps show where Alex Beutel may publish in the future.

Co-authorship network of co-authors of Alex Beutel

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Beutel. A scholar is included among the top collaborators of Alex Beutel 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 Alex Beutel. Alex Beutel 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.
Guan, Melody Y., Manas Joglekar, Eric Wallace, et al.. (2025). Deliberative Alignment: Reasoning Enables Safer Language Models. 2(3). 4 indexed citations
2.
3.
Wang, Xuezhi, Yao Qin, Nithum Thain, et al.. (2023). Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. 127–139.
4.
Lahoti, Preethi, Nicholas Blumm, Qijun Tan, et al.. (2023). Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. 10383–10405. 7 indexed citations
5.
Qin, Yao, Xuezhi Wang, Balaji Lakshminarayanan, Ed H., & Alex Beutel. (2023). What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel. 365–376.
6.
Axelrod, Vera, et al.. (2022). Flexible text generation for counterfactual fairness probing. 209–229. 6 indexed citations
7.
Zhan, Ruohan, Konstantina Christakopoulou, Martin Mladenov, et al.. (2021). Towards Content Provider Aware Recommender Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3872–3883. 11 indexed citations
8.
Awasthi, Pranjal, Alex Beutel, Matthäus Kleindeßner, Jamie Morgenstern, & Xuezhi Wang. (2021). Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information. 206–214. 22 indexed citations
9.
Beutel, Alex, et al.. (2021). Enhancing Neural Recommender Models through Domain-Specific Concordance. 1002–1010. 1 indexed citations
10.
Kraska, Tim, Mohammad Alizadeh, Alex Beutel, et al.. (2019). SageDB: A Learned Database System. DSpace@MIT (Massachusetts Institute of Technology). 70 indexed citations
11.
Belletti, Francois, Alex Beutel, Sagar Jain, & Ed Huai-hsin. (2018). Factorized Recurrent Neural Architectures for Longer Range Dependence. International Conference on Artificial Intelligence and Statistics. 1522–1530. 7 indexed citations
12.
Beutel, Alex, et al.. (2018). Latent Cross. 46–54. 187 indexed citations
13.
Wu, Chao-Yuan, Amr Ahmed, Alex Beutel, & Alexander J. Smola. (2017). Joint Training of Ratings and Reviews with Recurrent Recommender Networks. International Conference on Learning Representations. 15 indexed citations
14.
Agarwal, Pankaj K., et al.. (2016). TerraNNI. ACM Transactions on Spatial Algorithms and Systems. 2(2). 1–31. 6 indexed citations
15.
Jiang, Meng, Peng Cui, Alex Beutel, Christos Faloutsos, & Shiqiang Yang. (2016). Catching Synchronized Behaviors in Large Networks. ACM Transactions on Knowledge Discovery from Data. 10(4). 1–27. 53 indexed citations
16.
Jiang, Meng, Alex Beutel, Peng Cui, et al.. (2015). A General Suspiciousness Metric for Dense Blocks in Multimodal Data. 54 indexed citations
17.
Beutel, Alex, Amr Ahmed, & Alexander J. Smola. (2015). ACCAMS. 119–129. 32 indexed citations
18.
Beutel, Alex, Markus Weimer, & Vijay K. Narayanan. (2014). Elastic Distributed Bayesian Collaborative Filtering. 2 indexed citations
19.
Jiang, Meng, Peng Cui, Alex Beutel, Christos Faloutsos, & Shiqiang Yang. (2014). CatchSync. 941–950. 108 indexed citations
20.
Beutel, Alex, et al.. (2011). TerraNNI. 64–74. 7 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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