Jonathan Ragan‐Kelley

4.9k total citations · 3 hit papers
52 papers, 2.8k citations indexed

About

Jonathan Ragan‐Kelley is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jonathan Ragan‐Kelley has authored 52 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 22 papers in Hardware and Architecture and 14 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jonathan Ragan‐Kelley's work include Parallel Computing and Optimization Techniques (21 papers), Computer Graphics and Visualization Techniques (14 papers) and Embedded Systems Design Techniques (10 papers). Jonathan Ragan‐Kelley is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Computer Graphics and Visualization Techniques (14 papers) and Embedded Systems Design Techniques (10 papers). Jonathan Ragan‐Kelley collaborates with scholars based in United States, Israel and Canada. Jonathan Ragan‐Kelley's co-authors include Frédo Durand, Saman Amarasinghe, Andrew Adams, Sylvain Paris, Connelly Barnes, Tzu‐Mao Li, Jason Ansel, Shoaib Kamil, Michaël Gharbi and Jeffrey Bosboom and has published in prestigious journals such as Communications of the ACM, ACM Transactions on Graphics and ACM SIGPLAN Notices.

In The Last Decade

Jonathan Ragan‐Kelley

49 papers receiving 2.8k citations

Hit Papers

align trajectories

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.

Halide

2013 529 citations Jonathan Ragan‐Kelley, Connelly Barnes et al. profile →
OpenTuner

2014 315 citations Jason Ansel, Shoaib Kamil et al. DSpace@MIT (Massachusetts Institute of Technology) profile →
Halide

2013 290 citations Jonathan Ragan‐Kelley, Connelly Barnes et al. ACM SIGPLAN Notices profile →

Peers

Jonathan Ragan‐Kelley

HA

CVPR

CNC

AI

CGCD

Satoshi Matsuoka Japan

Kayvon Fatahalian United States

Paul H. J. Kelly United Kingdom

Martin Burtscher United States

Jatin Chhugani United States

Connelly Barnes United States

Bei Yu Hong Kong

Brucek Khailany United States

Zvi M. Kedem United States

Sungjoo Yoo South Korea

Satoshi Matsuoka Japan

Jonathan Ragan‐Kelley

1.1k ×0.8

HA

622 ×0.6

CVPR

1.1k ×1.3

CNC

550 ×1.1

AI

365 ×0.8

CGCD

Citations per year, relative to Jonathan Ragan‐Kelley Jonathan Ragan‐Kelley (= 1×) peers Satoshi Matsuoka

Countries citing papers authored by Jonathan Ragan‐Kelley

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Ragan‐Kelley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Ragan‐Kelley. 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 Jonathan Ragan‐Kelley. The network helps show where Jonathan Ragan‐Kelley may publish in the future.

Co-authorship network of co-authors of Jonathan Ragan‐Kelley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bernstein, Gilbert, et al.. (2025). Exo 2: Growing a Scheduling Language. 426–444. 2 indexed citations

2.

Han, Xingguo, et al.. (2024). Fast Matrix Multiplications for Lookup Table-Quantized LLMs. 12419–12433.

3.

Bernstein, Gilbert, et al.. (2024). Distributions for Compositionally Differentiating Parametric Discontinuities. Proceedings of the ACM on Programming Languages. 8(OOPSLA1). 893–922. 3 indexed citations

4.

Sharlet, Dillon, et al.. (2023). Fast Instruction Selection for Fast Digital Signal Processing. 125–137. 3 indexed citations

5.

Li, Tzu‐Mao, et al.. (2023). Storytelling as Inverse Inverse Planning. Topics in Cognitive Science. 16(1). 54–70. 4 indexed citations

6.

Gharbi, Michaël, Andrew Adams, Shoaib Kamil, et al.. (2022). Searching for Fast Demosaicking Algorithms. ACM Transactions on Graphics. 41(5). 1–18. 7 indexed citations

7.

Bernstein, Gilbert, et al.. (2022). Verified tensor-program optimization via high-level scheduling rewrites. Proceedings of the ACM on Programming Languages. 6(POPL). 1–28. 12 indexed citations

8.

Anderson, Luke, et al.. (2021). Efficient automatic scheduling of imaging and vision pipelines for the GPU. Proceedings of the ACM on Programming Languages. 5(OOPSLA). 1–28. 5 indexed citations

9.

Li, Tzu‐Mao, et al.. (2020). Differentiable vector graphics rasterization for editing and learning. ACM Transactions on Graphics. 39(6). 1–15. 88 indexed citations

10.

Gharbi, Michaël, YiChang Shih, Gaurav Chaurasia, et al.. (2015). Transform recipes for efficient cloud photo enhancement. ACM Transactions on Graphics. 34(6). 1–12. 19 indexed citations

11.

Mendis, Charith, Jeffrey Bosboom, Shoaib Kamil, et al.. (2015). Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code. DSpace@MIT (Massachusetts Institute of Technology). 391–402. 15 indexed citations

12.

Ansel, Jason, Shoaib Kamil, Kalyan Veeramachaneni, et al.. (2014). OpenTuner. DSpace@MIT (Massachusetts Institute of Technology). 303–316. 315 indexed citations breakdown →

13.

Ragan‐Kelley, Jonathan, Connelly Barnes, Andrew Adams, et al.. (2013). Halide. ACM SIGPLAN Notices. 48(6). 519–530. 290 indexed citations breakdown →

14.

Vidimče, Kiril, et al.. (2013). OpenFab. ACM Transactions on Graphics. 32(4). 1–12. 129 indexed citations

15.

Phothilimthana, Phitchaya Mangpo, Jason Ansel, Jonathan Ragan‐Kelley, & Saman Amarasinghe. (2013). Portable performance on heterogeneous architectures. ACM SIGPLAN Notices. 48(4). 431–444. 3 indexed citations

16.

Ragan‐Kelley, Jonathan, Andrew Adams, Sylvain Paris, et al.. (2012). Decoupling algorithms from schedules for easy optimization of image processing pipelines. ACM Transactions on Graphics. 31(4). 1–12. 167 indexed citations

17.

Ragan‐Kelley, Jonathan, Andrew Adams, Sylvain Paris, et al.. (2012). Decoupling algorithms from schedules for easy optimization of image processing pipelines. ACM Transactions on Graphics. 31(4). 1–12. 16 indexed citations

18.

Ragan‐Kelley, Jonathan, Michael Doggett, Jaakko Lehtinen, Jiawen Chen, & Frédo Durand. (2010). Decoupled Sampling for Real-Time Graphics Pipelines. DSpace@MIT (Massachusetts Institute of Technology). 10 indexed citations

19.

Baran, Ilya, Jiawen Chen, Jonathan Ragan‐Kelley, Frédo Durand, & Jaakko Lehtinen. (2010). A hierarchical volumetric shadow algorithm for single scattering. 23 indexed citations

20.

Baran, Ilya, Jiawen Chen, Jonathan Ragan‐Kelley, Frédo Durand, & Jaakko Lehtinen. (2010). A hierarchical volumetric shadow algorithm for single scattering. 1–1. 4 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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