Riyadh Baghdadi

1.2k total citations
21 papers, 431 citations indexed

About

Riyadh Baghdadi is a scholar working on Hardware and Architecture, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Riyadh Baghdadi has authored 21 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 6 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Riyadh Baghdadi's work include Parallel Computing and Optimization Techniques (12 papers), Software Engineering Research (4 papers) and Embedded Systems Design Techniques (4 papers). Riyadh Baghdadi is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Software Engineering Research (4 papers) and Embedded Systems Design Techniques (4 papers). Riyadh Baghdadi collaborates with scholars based in United States, United Arab Emirates and Algeria. Riyadh Baghdadi's co-authors include Saman Amarasinghe, Shoaib Kamil, Yunming Zhang, Mengjiao Yang, Julian Shun, Luke Anderson, Frédo Durand, Steven Johnson, Michaël Gharbi and Jonathan Ragan‐Kelley and has published in prestigious journals such as Proceedings of the IEEE, ACM Transactions on Graphics and Physical review. D.

In The Last Decade

Riyadh Baghdadi

19 papers receiving 423 citations

Peers

Riyadh Baghdadi
Oleksandr Zinenko United States
Jacques A. Pienaar United States
Nicolas Vasilache United States
David Lugato France
Ian Karlin United States
Vinod Grover United States
Tobias Grosser Switzerland
Carl Yang United States
Manuel F. Dolz Spain
Yangzihao Wang United States
Oleksandr Zinenko United States
Riyadh Baghdadi
Citations per year, relative to Riyadh Baghdadi Riyadh Baghdadi (= 1×) peers Oleksandr Zinenko

Countries citing papers authored by Riyadh Baghdadi

Since Specialization
Citations

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

Fields of papers citing papers by Riyadh Baghdadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riyadh Baghdadi

This figure shows the co-authorship network connecting the top 25 collaborators of Riyadh Baghdadi. A scholar is included among the top collaborators of Riyadh Baghdadi 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 Riyadh Baghdadi. Riyadh Baghdadi 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.
Baghdadi, Riyadh, et al.. (2025). Data-Efficient Performance Modeling via Pre-training. 48–59. 1 indexed citations
2.
Tayeb, Fatima Benbouzid-Si, et al.. (2025). LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers. 201–215. 1 indexed citations
3.
Baghdadi, Riyadh, et al.. (2025). Supporting Dynamic Program Sizes in Deep Learning-Based Cost Models for Code Optimization. ACM Transactions on Architecture and Code Optimization. 22(2). 1–25. 1 indexed citations
4.
Baghdadi, Riyadh, et al.. (2025). Pearl: Automatic Code Optimization Using Deep Reinforcement Learning. 959–974.
5.
Baghdadi, Riyadh, et al.. (2024). Curriculum Learning for Small Code Language Models. 531–542.
6.
Amarasinghe, Saman, Riyadh Baghdadi, Zohreh Davoudi, et al.. (2023). Variational study of two-nucleon systems with lattice QCD. Physical review. D. 107(9). 25 indexed citations
7.
Amarasinghe, Saman, et al.. (2023). A Deep Learning Model for Loop Interchange. 50–60. 3 indexed citations
8.
Baghdadi, Riyadh, et al.. (2023). A Hybrid Machine Learning Model for Code Optimization. International Journal of Parallel Programming. 51(6). 309–331. 9 indexed citations
9.
Fu, Cheng, Bram Wasti, Chris Cummins, et al.. (2022). Q-gym. 291–303. 3 indexed citations
10.
Baghdadi, Riyadh, et al.. (2021). Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proceedings of the IEEE. 109(10). 1706–1752. 57 indexed citations
11.
Tucci, Lorenzo Di, Riyadh Baghdadi, Saman Amarasinghe, & Marco D. Santambrogio. (2020). SALSA: A Domain Specific Architecture for Sequence Alignment. 100. 147–150. 1 indexed citations
12.
Baghdadi, Riyadh, Jessica M. Ray, Emanuele Del Sozzo, et al.. (2019). Tiramisu: a polyhedral compiler for expressing fast and portable code. arXiv (Cornell University). 193–205. 55 indexed citations
13.
Adams, Andrew, Luke Anderson, Riyadh Baghdadi, et al.. (2019). Learning to optimize halide with tree search and random programs. ACM Transactions on Graphics. 38(4). 1–12. 129 indexed citations
14.
Numanagić, Ibrahim, et al.. (2019). Seq: a high-performance language for bioinformatics. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–29. 10 indexed citations
15.
Sozzo, Emanuele Del, Riyadh Baghdadi, Saman Amarasinghe, & Marco D. Santambrogio. (2018). A Unified Backend for Targeting FPGAs from DSLs. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 44. 1–8. 7 indexed citations
16.
Zhang, Yunming, Mengjiao Yang, Riyadh Baghdadi, et al.. (2018). GraphIt: a high-performance graph DSL. Proceedings of the ACM on Programming Languages. 2(OOPSLA). 1–30. 101 indexed citations
17.
Sozzo, Emanuele Del, Riyadh Baghdadi, Saman Amarasinghe, & Marco D. Santambrogio. (2017). A Common Backend for Hardware Acceleration on FPGA. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 427–430. 8 indexed citations
18.
Baghdadi, Riyadh, et al.. (2014). VOBLA. 115–124. 6 indexed citations
19.
Baghdadi, Riyadh, et al.. (2014). VOBLA. ACM SIGPLAN Notices. 49(5). 115–124. 4 indexed citations
20.
Baghdadi, Riyadh, et al.. (2013). Improved loop tiling based on the removal of spurious false dependences. ACM Transactions on Architecture and Code Optimization. 9(4). 1–26. 9 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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