David Goodwin

478 citations
10 papers · 327 · h-index 6

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Real-Time Systems Scheduling
  • Software top 10%
    • Software Testing and Debugging Techniques

Papers in

David Goodwin

9 papers receiving 291 citations

Peers

David Goodwin
Comparison fields: 5 of 18
  • Hardware and Architecture 286
  • Software 36
  • Computer Networks and Communications 199
  • Artificial Intelligence 75
  • Signal Processing 25
Replace Nikolay Mateev with:
Nikolay Mateev United States
Dorit Nuzman Israel
Christopher A. Vick United States
Ben-Chung Cheng United States
John S. O’Donnell United States
Toshitsugu Yuba Japan
Michael Paleczny United States
Marc Feeley Canada
Todd Waterman United States
Michael D. Smith United States
David Goodwin relative to Nikolay Mateev United States Nikolay Mateev's profile →
Citations per field
00.5×1.6×
Nikolay Mateev · 1×
Citations per year

Countries citing papers authored by David Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by David Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside David Goodwin, 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 Goodwin Line = papers co-authored together David Goodwin links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2003116
2 199663
3
Spike: an optimizer for alpha/NT executables
199749
4 199846
5 199737
6 19966
7 20075
8 19973
9 19921
10
Would a registry map hang comfortably in a round mud hut? A register of titles for Zimbabwe's communal areas: philosophical and technical considerations
20021

About David Goodwin

David Goodwin is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Sociology and Political Science, having authored 10 papers that have together received 327 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (8 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (2 papers), Interconnection Networks and Systems (2 papers), Cloud Computing and Resource Management (2 papers), Radiation Effects in Electronics (2 papers), Low-power high-performance VLSI design (1 paper) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Hardware and Architecture (286 citations), Software (36 citations), Computer Networks and Communications (199 citations), Artificial Intelligence (75 citations) and Signal Processing (25 citations). David Goodwin has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Kent Wilken, P. Geoffrey Lowney, Robert Cohn, Norman Rubin, Grant Martín and Chris Rowen. Their work appears in journals such as Software Practice and Experience, ACM SIGPLAN Notices and ACM SIGMICRO newsletter/SIGMICRO newsletter/SIGMICRO, TCMICRO newsletter.

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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