John Nickolls
Impact in
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computer Networks and Communications top 0.5%
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
Papers in
-
- Distributed and Parallel Computing Systems 9
- Advanced Data Storage Technologies 4
- Interconnection Networks and Systems 2
-
- Parallel Computing and Optimization Techniques 10
- Co-authors
- Michael Garland (4 shared papers)Kevin Skadron (3 shared papers)Ian Buck (3 shared papers)William J. Dally (1 shared paper)Stuart F. Oberman (1 shared paper)Erik Lindholm (1 shared paper)Everett Phillips (1 shared paper)Joshua A. Anderson (1 shared paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
John Nickolls
14 papers receiving 4.4k citations
John Nickolls's Hit Papers
Peers
Comparison fields: 5 of 144
- Hardware and Architecture 1.8k
- Computer Networks and Communications 1.7k
- Computer Graphics and Computer-Aided Design 255
- Computer Vision and Pattern Recognition 916
- Computational Mathematics 24
Countries citing papers authored by John Nickolls
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
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-authors
The 15 scholars most cited alongside John Nickolls, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Scalable Parallel Programming with CUDA Hit paper breakdown → | 2008 | 1265 |
| 2 | Scalable parallel programming with CUDA Hit paper breakdown → | 2008 | 1184 |
| 3 | NVIDIA Tesla: A Unified Graphics and Computing Architecture Hit paper breakdown → | 2008 | 1022 |
| 4 | The GPU Computing Era Hit paper breakdown → | 2010 | 685 |
| 5 | Parallel Computing Experiences with CUDA Hit paper breakdown → | 2008 | 403 |
| 6 | 2002 | 63 | |
| 7 | 2008 | 38 | |
| 8 | 2007 | 25 | |
| 9 | 2003 | 8 | |
| 10 | 2008 | 8 | |
| 11 | 2004 | 5 | |
| 12 | 1993 | 5 | |
| 13 | 2002 | 2 | |
| 14 | 2003 | 2 | |
| 15 | 2002 | 1 |
About John Nickolls
John Nickolls is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Information Systems, having authored 15 papers that have together received 4.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (4 papers), Algorithms and Data Compression (3 papers), Interconnection Networks and Systems (2 papers), Computer Graphics and Visualization Techniques (2 papers), Cloud Computing and Resource Management (1 paper) and Material Properties and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (1.8k citations), Computer Networks and Communications (1.7k citations), Computer Graphics and Computer-Aided Design (255 citations), Computer Vision and Pattern Recognition (916 citations) and Computational Mathematics (24 citations). John Nickolls has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Michael Garland, Kevin Skadron, Ian Buck, William J. Dally, Stuart F. Oberman, Erik Lindholm, Everett Phillips, Joshua A. Anderson, Scott Morton and В. М. Волков. Their work appears in journals such as IEEE Micro, Queue and Materials science forum.
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.