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 India. John Nickolls's co-authors include Michael Garland, Ian Buck, Kevin Skadron, William J. Dally, Erik Lindholm, Stuart F. Oberman, Scott Morton, Yao Zhang, Everett Phillips and В. М. Волков 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 Programming with CUDA 2008 2026 2014 2020 2008 2008 2008 2010 2008 250 500 750 1000

Peers

John Nickolls
Comparison fields: 5 of 144
  • Hardware and Architecture 1.6k
  • Computer Networks and Communications 1.6k
  • Computer Vision and Pattern Recognition 817
  • Artificial Intelligence 756
  • Electrical and Electronic Engineering 478
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Citations per field, relative to John Nickolls
John Nickolls · 1×
Citations per year, relative to John Nickolls
John Nickolls · 1×

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
# Work Indexed citations
1
The GPU Computing Era breakdown →
623
2
Parallel Computing Experiences with CUDA breakdown →
354
3 7
4
NVIDIA Tesla: A Unified Graphics and Computing Architecture breakdown →
933
5
Scalable Parallel Programming with CUDA breakdown →
1150
6 35
7
Scalable parallel programming with CUDA breakdown →
1084
8 20
9 5
10 7
11 2
12 1
13 59
14 2
15 4

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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2026