David Satterfield

431 citations
3 papers · 313 · h-index 3

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems

Papers in

David Satterfield

3 papers receiving 294 citations

Peers

David Satterfield
Comparison fields: 5 of 45
  • Hardware and Architecture 186
  • Computer Networks and Communications 216
  • Information Systems 45
  • Computational Mathematics 1
  • Computational Theory and Mathematics 20
Replace Qinglei Cao with:
Qinglei Cao United States
Shinji Sumimoto Japan
A. Martínez Spain
Michael O. McCracken United States
David Defour France
Gheorghe-Teodor Bercea United States
Arthur S Buddy Bland United States
Krishnan Sugavanam United States
Bérenger Bramas France
Ruchira Sasanka United States
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Citations per field
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Citations per year

Countries citing papers authored by David Satterfield

Since Specialization
Citations

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

Fields of papers citing papers by David Satterfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Satterfield, 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 David Satterfield Line = papers co-authored together David Satterfield links everyone, so they are left out of the graph.

All Works

About David Satterfield

David Satterfield is a scholar working on Computer Networks and Communications, Hardware and Architecture, Automotive Engineering, Health, Toxicology and Mutagenesis and Global and Planetary Change, having authored 3 papers that have together received 313 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers), Interconnection Networks and Systems (2 papers), Vehicle emissions and performance (1 paper), Air Quality and Health Impacts (1 paper) and Advanced Aircraft Design and Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (186 citations), Computer Networks and Communications (216 citations), Information Systems (45 citations), Computational Mathematics (1 citation) and Computational Theory and Mathematics (20 citations). David Satterfield has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Philip Heidelberger, P. Coteus, Matthias A. Blumrich, Peter Boyle, Changhoan Kim, R.A. Haring, Martin Ohmacht, Alan Gara, George T.‐C. Chiu and Michael Gschwind. Their work appears in journals such as IEEE Micro and Atmospheric measurement techniques.

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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