Cameron Patterson

1.5k total citations
43 papers, 914 citations indexed

About

Cameron Patterson is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Cellular and Molecular Neuroscience. According to data from OpenAlex, Cameron Patterson has authored 43 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 15 papers in Hardware and Architecture and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Cameron Patterson's work include Advanced Memory and Neural Computing (17 papers), Embedded Systems Design Techniques (11 papers) and Neural dynamics and brain function (9 papers). Cameron Patterson is often cited by papers focused on Advanced Memory and Neural Computing (17 papers), Embedded Systems Design Techniques (11 papers) and Neural dynamics and brain function (9 papers). Cameron Patterson collaborates with scholars based in United States, United Kingdom and Spain. Cameron Patterson's co-authors include Steve Furber, Francesco Galluppi, Luis A. Plana, Steve Temple, Jim Garside, Eustace Painkras, David Lester, A.D. Brown, Peter Athanas and Patrick Schaumont and has published in prestigious journals such as Applied and Environmental Microbiology, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Cameron Patterson

42 papers receiving 881 citations

Peers

Cameron Patterson
Comparison fields: 5 of 80
  • Electrical and Electronic Engineering 643
  • Cognitive Neuroscience 260
  • Artificial Intelligence 244
  • Cellular and Molecular Neuroscience 233
  • Hardware and Architecture 157
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Citations per field, relative to Cameron Patterson
Cameron Patterson · 1×
Citations per year, relative to Cameron Patterson
Cameron Patterson · 1×

Countries citing papers authored by Cameron Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Cameron Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cameron Patterson

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 1
3 2
4 11
5 50
6 3
7 9
8 8
9 19
10 10
11
Interfacing Real-Time Spiking I/O with the SpiNNaker Neuromimetic Architecture
10
12 4
13 14
14 4
15 5
16 0
17 4
18 22
19 8
20 1

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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