Alexey Radul

2.4k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Alexey Radul is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Alexey Radul has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Computational Theory and Mathematics. Recurrent topics in Alexey Radul's work include Bayesian Modeling and Causal Inference (4 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Alexey Radul is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Alexey Radul collaborates with scholars based in United States, United Kingdom and Ireland. Alexey Radul's co-authors include Barak A. Pearlmutter, Jeffrey Mark Siskind, Atılım Güneş Baydin, Gregory Marton, Vikash K. Mansinghka, Yutian Chen, Martin Rinard, Gerald Jay Sussman, Dougal Maclaurin and Matthew Johnson and has published in prestigious journals such as American Mathematical Monthly, ACM SIGPLAN Notices and Journal of Functional Programming.

In The Last Decade

Alexey Radul

13 papers receiving 1.4k citations

Hit Papers

Automatic differentiation in machine learning: a survey 2015 2026 2018 2022 2015 400 800 1.2k

Peers

Alexey Radul
Yinhao Zhu United States
Justin Sirignano United States
Yibo Yang United States
Samuel Rudy United States
Haomin Zhou United States
Zhongqiang Zhang United States
Alexey Radul
Citations per year, relative to Alexey Radul Alexey Radul (= 1×) peers Atılım Güneş Baydin

Countries citing papers authored by Alexey Radul

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Radul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Radul

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

All Works

17 of 17 papers shown
1.
Radul, Alexey, Adam Paszke, Roy Frostig, Matthew Johnson, & Dougal Maclaurin. (2023). You Only Linearize Once: Tangents Transpose to Gradients. Proceedings of the ACM on Programming Languages. 7(POPL). 1246–1274. 11 indexed citations
2.
Radul, Alexey & Boris V. Alexeev. (2021). The Base Measure Problem and its Solution. International Conference on Artificial Intelligence and Statistics. 3583–3591.
3.
Hoffman, Matthew D., et al.. (2021). An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo. International Conference on Artificial Intelligence and Statistics. 3907–3915. 6 indexed citations
4.
Maclaurin, Dougal, Alexey Radul, Matthew Johnson, & Dimitrios Vytiniotis. (2019). Dex: array programming with typed indices. 2 indexed citations
5.
Pearlmutter, Barak A., et al.. (2019). Perturbation confusion in forward automatic differentiation of higher-order functions. Journal of Functional Programming. 29. 8 indexed citations
6.
Tran, Dustin, et al.. (2018). Simple, Distributed, and Accelerated Probabilistic Programming. arXiv (Cornell University). 31. 7598–7609. 7 indexed citations
7.
Baydin, Atılım Güneş, Barak A. Pearlmutter, Alexey Radul, & Jeffrey Mark Siskind. (2018). Automatic Differentiationin Machine Learning: a Survey. 1 indexed citations
8.
Mansinghka, Vikash K., et al.. (2018). Probabilistic programming with programmable inference. 603–616. 17 indexed citations
9.
Mansinghka, Vikash K., et al.. (2018). Probabilistic programming with programmable inference. ACM SIGPLAN Notices. 53(4). 603–616. 4 indexed citations
10.
Doddridge, Edward & Alexey Radul. (2018). Aronnax: An idealised isopycnal ocean model. The Journal of Open Source Software. 3(26). 592–592. 3 indexed citations
11.
Baydin, Atılım Güneş, Barak A. Pearlmutter, Alexey Radul, & Jeffrey Mark Siskind. (2015). Automatic differentiation in machine learning: a survey. Maynooth University ePrints and eTheses Archive (Maynooth University). 1320 indexed citations breakdown →
12.
Radul, Alexey, et al.. (2012). Killer Problems. American Mathematical Monthly. 119(10). 815–815.
13.
Jacobi, Ian & Alexey Radul. (2010). A RESTful messaging system for asynchronous distributed processing. 46–53. 2 indexed citations
14.
Sussman, Gerald Jay & Alexey Radul. (2009). The Art of the Propagator. DSpace@MIT (Massachusetts Institute of Technology). 7 indexed citations
15.
Radul, Alexey. (2007). Report on the probabilistic language scheme. 2–10. 11 indexed citations
16.
Katz, Boris, Gregory Marton, Sue Felshin, et al.. (2006). Question answering experiments and resources. Text REtrieval Conference. 2 indexed citations
17.
Marton, Gregory & Alexey Radul. (2006). Nuggeteer. 375–382. 16 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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