Irwan Bello

1.4k total citations
6 papers, 216 citations indexed

About

Irwan Bello is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Irwan Bello has authored 6 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Irwan Bello's work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Irwan Bello is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Irwan Bello collaborates with scholars based in United States, Iran and Israel. Irwan Bello's co-authors include Quoc V. Le, Hieu Pham, Mohammad Norouzi, Samy Bengio, Barret Zoph, Vijay Vasudevan, Ashish Vaswani, Niki Parmar, Prajit Ramachandran and Anselm Levskaya and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Irwan Bello

6 papers receiving 204 citations

Peers

Irwan Bello
Irwan Bello
Citations per year, relative to Irwan Bello Irwan Bello (= 1×) peers Quentin Cappart

Countries citing papers authored by Irwan Bello

Since Specialization
Citations

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

Fields of papers citing papers by Irwan Bello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irwan Bello

This figure shows the co-authorship network connecting the top 25 collaborators of Irwan Bello. A scholar is included among the top collaborators of Irwan Bello 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 Irwan Bello. Irwan Bello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Bello, Irwan, William Fedus, Xianzhi Du, et al.. (2021). Revisiting ResNets: Improved Training and Scaling Strategies. Neural Information Processing Systems. 34. 2 indexed citations
2.
Bello, Irwan, Xianzhi Du, Ekin D. Cubuk, et al.. (2021). Revisiting ResNets: Improved Training Methodologies and Scaling Principles. 1 indexed citations
3.
Bello, Irwan. (2021). LambdaNetworks: Modeling Long-Range Interactions Without Attention. arXiv (Cornell University). 16 indexed citations
4.
Ramachandran, Prajit, et al.. (2019). Studying Stand-Alone Self-Attention in Vision Models. 3 indexed citations
5.
Bello, Irwan, Barret Zoph, Vijay Vasudevan, & Quoc V. Le. (2017). Neural optimizer search with reinforcement learning. International Conference on Machine Learning. 459–468. 37 indexed citations
6.
Bello, Irwan, Hieu Pham, Quoc V. Le, Mohammad Norouzi, & Samy Bengio. (2016). Neural Combinatorial Optimization with Reinforcement Learning. arXiv (Cornell University). 157 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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