Eric Sprangle

1.7k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 10

Eric Sprangle

11 papers receiving 1.1k citations

Hit Papers

Larrabee5692008202620142020100200300400500

Peers

Eric Sprangle
Comparison fields: 5 of 48
  • Hardware and Architecture 976
  • Computer Networks and Communications 851
  • Computer Graphics and Computer-Aided Design 118
  • Computer Vision and Pattern Recognition 144
  • Information Systems 137
Replace Toni Juan with:
Toni Juan Spain
Doug Carmean United States
Ed Grochowski United States
Roger Espasa Spain
Michael Abrash United States
Stephen Junkins United States
George L. Yuan Canada
Wilson Wai Lun Fung Canada
Henry Wong Canada
Al Davis United States
Eric Sprangle relative to Toni Juan Spain Toni Juan's profile →
Citations per field
00.5×1.6×
Toni Juan · 1×
Citations per year

Countries citing papers authored by Eric Sprangle

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sprangle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Eric Sprangle, 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 Eric Sprangle Line = papers co-authored together Eric Sprangle links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2009112
2 2008569
3 2008117
4 200747
5
Asymmetric Chip Multiprocessors: Balancing Hardware Effic iency and Programmer Efficiency
20077
6 200712
7 200384
8 2002141
9 199717
10 1997108
11 199433

About Eric Sprangle

Eric Sprangle is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Infectious Diseases, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Advanced Data Storage Technologies (7 papers), Distributed systems and fault tolerance (2 papers), Distributed and Parallel Computing Systems (2 papers), Semiconductor materials and devices (2 papers), Advanced Neural Network Applications (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (976 citations), Computer Networks and Communications (851 citations), Computer Graphics and Computer-Aided Design (118 citations), Computer Vision and Pattern Recognition (144 citations) and Information Systems (137 citations). Eric Sprangle has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Doug Carmean, Jeremy Sugerman, Toni Juan, Stephen Junkins, Pat Hanrahan, Michael Abrash, Larry Seiler, Adam Lake, Pradeep Dubey and Roger Espasa. Their work appears in journals such as ACM Transactions on Graphics, IEEE Micro, ACM SIGOPS Operating Systems Review and ACM SIGARCH Computer Architecture News.

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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