Greg Snider

1.7k citations
26 papers · 1.2k indexed · h-index 14

Impact in

Papers in

Greg Snider

26 papers receiving 1.1k citations

Peers

Greg Snider
Comparison fields: 5 of 51
  • Hardware and Architecture 132
  • Cellular and Molecular Neuroscience 326
  • Electrical and Electronic Engineering 989
  • Cognitive Neuroscience 191
  • Computational Theory and Mathematics 103
Replace Mika Laiho with:
Mika Laiho Finland
Kailash Gopalakrishnan United States
Thomas Parnell Switzerland
Kyoung-Rok Cho South Korea
Guy Satat United States
Nimrod Wald Israel
Robinson E. Pino United States
Bai‐Sun Kong South Korea
Rajeev Kumar Ranjan India
Farooq Ahmad Khanday India
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Citations per field
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Citations per year

Countries citing papers authored by Greg Snider

Since Specialization
Citations

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

Fields of papers citing papers by Greg Snider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Greg Snider, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Greg Snider Line = papers co-authored together Greg Snider links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008233
2 2007199
3 2008191
4 2004142
5 201169
6 199555
7 200154
8 200249
9 200228
10 200727
11 201024
12 200122
13 200618
14 200517
15
Spacewalker: Automated Design Space Exploration for Embedded Computer Systems
200112
16 20069
17 20079
18
Measuring the Entropy of Large Software Systems
20017
19 20115
20 20104

About Greg Snider

Greg Snider is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Cognitive Neuroscience, Computational Theory and Mathematics and Computer Networks and Communications, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Parallel Computing and Optimization Techniques (6 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Semiconductor materials and devices (5 papers), Embedded Systems Design Techniques (5 papers), Neural dynamics and brain function (5 papers), DNA and Biological Computing (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Hardware and Architecture (132 citations), Cellular and Molecular Neuroscience (326 citations), Electrical and Electronic Engineering (989 citations), Cognitive Neuroscience (191 citations) and Computational Theory and Mathematics (103 citations). Greg Snider has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Philip J. Kuekes, R. Stanley Williams, Richard J. Carter, Shih-Yuan Wang, R. G. Beausoleil, Tad Hogg, Rick Amerson, W. Bruce Culbertson, Warren Robinett and Hiroto Yasuura. Their work appears in journals such as IEEE Transactions on Nanotechnology, Nanotechnology, Computer, BMC Neuroscience and Proceedings of the IEEE.

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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