John Nickolls

6.3k total citations · 5 hit papers
15 papers, 4.3k citations indexed

About

John Nickolls is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, John Nickolls has authored 15 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Hardware and Architecture and 3 papers in Artificial Intelligence. Recurrent topics in John Nickolls's work include Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (9 papers) and Advanced Data Storage Technologies (4 papers). John Nickolls is often cited by papers focused on Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (9 papers) and Advanced Data Storage Technologies (4 papers). John Nickolls collaborates with scholars based in United States, United Kingdom and Canada. John Nickolls's co-authors include Michael Garland, Ian Buck, Kevin Skadron, William J. Dally, Stuart F. Oberman, Erik Lindholm, Everett Phillips, В. М. Волков, Joshua A. Anderson and Scott Morton and has published in prestigious journals such as IEEE Micro, Materials science forum and Queue.

In The Last Decade

John Nickolls

14 papers receiving 4.0k citations

Hit Papers

Scalable Parallel Program... 2008 2026 2014 2020 2008 2008 2008 2010 2008 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Nickolls 1.6k 1.6k 817 756 478 15 4.3k
Bruce Hendrickson 1.1k 0.7× 1.9k 1.2× 883 1.1× 668 0.9× 1.0k 2.1× 84 4.5k
Ian Buck 1.9k 1.2× 1.8k 1.1× 1.4k 1.7× 805 1.1× 365 0.8× 28 5.1k
Leonardo Dagum 1.6k 1.0× 1.7k 1.1× 327 0.4× 482 0.6× 378 0.8× 29 3.5k
Matteo Frigo 2.9k 1.8× 2.6k 1.6× 835 1.0× 998 1.3× 897 1.9× 43 7.4k
Michael T. Heath 990 0.6× 1.2k 0.8× 817 1.0× 668 0.9× 700 1.5× 96 6.7k
Ramesh Menon 1.1k 0.7× 1.1k 0.7× 322 0.4× 418 0.6× 277 0.6× 10 2.8k
David B. Kirk 987 0.6× 902 0.6× 814 1.0× 433 0.6× 286 0.6× 44 3.0k
Andrew Lumsdaine 1.9k 1.1× 2.2k 1.4× 1.6k 1.9× 1.1k 1.4× 530 1.1× 241 5.3k
Naga K. Govindaraju 1.8k 1.1× 2.4k 1.5× 1.8k 2.2× 982 1.3× 303 0.6× 80 5.5k
Ewing Lusk 2.8k 1.7× 3.5k 2.2× 273 0.3× 695 0.9× 333 0.7× 114 5.4k

Countries citing papers authored by John Nickolls

Since Specialization
Citations

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

Fields of papers citing papers by John Nickolls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Nickolls

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

All Works

15 of 15 papers shown
1.
Nickolls, John & William J. Dally. (2010). The GPU Computing Era. IEEE Micro. 30(2). 56–69. 623 indexed citations breakdown →
2.
Garland, Michael, John Nickolls, Joshua A. Anderson, et al.. (2008). Parallel Computing Experiences with CUDA. IEEE Micro. 28(4). 13–27. 354 indexed citations breakdown →
3.
Nickolls, John, Ian Buck, Michael Garland, & Kevin Skadron. (2008). Scalable Parallel Programming with CUDA. Queue. 6(2). 40–53. 1150 indexed citations breakdown →
4.
Nickolls, John. (2008). Scalable parallel programming with CUDA introduction. 1–9. 7 indexed citations
5.
Nickolls, John, Ian Buck, Michael Garland, & Kevin Skadron. (2008). Scalable parallel programming. 40–53. 35 indexed citations
6.
Lindholm, Erik, et al.. (2008). NVIDIA Tesla: A Unified Graphics and Computing Architecture. IEEE Micro. 28(2). 39–55. 933 indexed citations breakdown →
7.
Nickolls, John, Ian Buck, Michael Garland, & Kevin Skadron. (2008). Scalable parallel programming with CUDA. 1–14. 1084 indexed citations breakdown →
8.
Nickolls, John. (2007). GPU parallel computing architecture and CUDA programming model. 1–12. 20 indexed citations
9.
Nickolls, John, et al.. (2004). Low Mass Bondcoat for Robust Thermal Barrier Coatings. Materials science forum. 461-464. 265–272. 5 indexed citations
10.
Nickolls, John, et al.. (2003). Calisto: a low-power single-chip multiprocessor communications platform. IEEE Micro. 23(2). 29–43. 7 indexed citations
11.
Blank, Tom & John Nickolls. (2003). A Grimm collection of MIMD fairy tales. 54. 448–457. 2 indexed citations
12.
Nickolls, John, et al.. (2002). A rugged scalable parallel system. 502–507. 1 indexed citations
13.
Nickolls, John. (2002). The design of the MasPar MP-1: a cost effective massively parallel computer. 25–28. 59 indexed citations
14.
Nickolls, John. (2002). The MasPar scalable Unix I/O system. 390–395. 2 indexed citations
15.
Nickolls, John, et al.. (1993). Autonomous SIMD flexibility in the MP-1 and MP-2. 98–99. 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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