Ian Buck

7.4k total citations · 3 hit papers
28 papers, 5.1k citations indexed

About

Ian Buck is a scholar working on Computer Graphics and Computer-Aided Design, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Ian Buck has authored 28 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Graphics and Computer-Aided Design, 13 papers in Hardware and Architecture and 10 papers in Computer Networks and Communications. Recurrent topics in Ian Buck's work include Computer Graphics and Visualization Techniques (15 papers), Parallel Computing and Optimization Techniques (13 papers) and Advanced Vision and Imaging (6 papers). Ian Buck is often cited by papers focused on Computer Graphics and Visualization Techniques (15 papers), Parallel Computing and Optimization Techniques (13 papers) and Advanced Vision and Imaging (6 papers). Ian Buck collaborates with scholars based in United States, United Kingdom and Germany. Ian Buck's co-authors include Kevin Skadron, Michael Garland, John Nickolls, Pat Hanrahan, Mike Houston, Jeremy Sugerman, Tim Foley, Kayvon Fatahalian, Daniel Reiter Horn and Timothy J. Purcell and has published in prestigious journals such as ACM Transactions on Graphics, The Journal of Supercomputing and Queue.

In The Last Decade

Ian Buck

28 papers receiving 4.7k 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.

Scalable Parallel Programming with CUDA

2008 1.1k citations John Nickolls, Ian Buck et al. Queue profile →
Scalable parallel programming with CUDA

2008 1.1k citations John Nickolls, Ian Buck et al. profile →
Brook for GPUs

2004 804 citations Ian Buck, Tim Foley et al. ACM Transactions on Graphics profile →

Peers

Countries citing papers authored by Ian Buck

Since Specialization

Citations

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

Fields of papers citing papers by Ian Buck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Buck

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Buck. A scholar is included among the top collaborators of Ian Buck 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 Ian Buck. Ian Buck 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

#	Work	Indexed citations
1	Scalable SIMD-parallel memory allocation for many-core machines 2011 ·The Journal of Supercomputing ·(unknown), Christopher Rodrigues, Stephen Jones, Ian Buck, Wen‐mei Hwu	9
2	XMalloc: A Scalable Lock-free Dynamic Memory Allocator for Many-core Machines 2010 ·(unknown), Christopher Rodrigues, (unknown), Ian Buck, Wen‐mei Hwu	44
3	Scalable Parallel Programming with CUDA breakdown → 2008 ·Queue ·John Nickolls, Ian Buck, Michael Garland, Kevin Skadron	1150
4	CUDA 2008 ·Ian Buck	1
5	Scalable parallel programming 2008 ·John Nickolls, Ian Buck, Michael Garland, Kevin Skadron	35
6	Scalable parallel programming with CUDA breakdown → 2008 ·John Nickolls, Ian Buck, Michael Garland, Kevin Skadron	1084
7	GPU Computing: Programming a Massively Parallel Processor 2007 ·Ian Buck	38
8	General Purpose Computation on Graphics Hardware 2006 ·Aaron Lefohn, Ian Buck, Patrick McCormick, John D. Owens, Timothy J. Purcell, Robert Strzodka	72
9	Using GPUs for machine learning algorithms 2005 ·Don Steinkraus, Ian Buck, P. Simard	153
10	High level languages for GPUs 2005 ·Ian Buck	1
11	Stream computing on graphics hardware 2005 ·Pat Hanrahan, Ian Buck	17
12	Brook for GPUs 2004 ·Ian Buck, Tim Foley, Daniel Reiter Horn, Jeremy Sugerman, Kayvon Fatahalian, Mike Houston, Pat Hanrahan	206
13	GPGPU 2004 ·David Luebke, Mark Harris, Jens Krüger, (unknown), Naga K. Govindaraju, Ian Buck, Cliff Woolley, Aaron Lefohn	144
14	Merrimac 2003 ·William J. Dally, (unknown), Abhishek Das, Patrick Hanrahan, Jung Ho Ahn, Jayanth Gummaraju, Mattan Erez, Nuwan Jayasena, Ian Buck, Timothy J. Knight, Ujval J. Kapasi	223
15	Data Parallel Computation on Graphics Hardware 2003 ·Ian Buck, Pat Hanrahan	15
16	Ray tracing on programmable graphics hardware 2002 ·Timothy J. Purcell, Ian Buck, William R. Mark, Pat Hanrahan	100
17	Ray tracing on programmable graphics hardware 2002 ·ACM Transactions on Graphics ·Timothy J. Purcell, Ian Buck, William R. Mark, Pat Hanrahan	127
18	WireGL 2001 ·Greg Humphreys, Matthew Eldridge, Ian Buck, (unknown), Matthew J. Everett, Pat Hanrahan	183
19	Distributed Rendering for Scalable Displays 2000 ·Conference on High Performance Computing (Supercomputing) ·Greg Humphreys, Ian Buck, Matthew Eldridge, Pat Hanrahan	69
20	Distributed Rendering for Scalable Displays 2000 ·Gareth Humphreys, Ian Buck, Matthew Eldridge, Pat Hanrahan	33

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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