David Black-Schaffer

1.3k citations
68 papers · 928 · h-index 19

Impact in

Papers in

David Black-Schaffer

63 papers receiving 907 citations

Peers

David Black-Schaffer
Comparison fields: 5 of 19
  • Hardware and Architecture 836
  • Computer Networks and Communications 77
  • Information Systems 39
  • Electrical and Electronic Engineering 85
  • Computer Graphics and Computer-Aided Design 5
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Karan Singh United States
Thomas Ilsche Germany
Yeongon Cho South Korea
Rafael Ubal Spain
Matthew D. Sinclair United States
Alejandro Rico Spain
Guoyang Chen United States
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Flavius Gruian Sweden
Denis Foley United States
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Citations per field
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Citations per year

Countries citing papers authored by David Black-Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by David Black-Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008119
2 201152
3 200841
4 201140
5 201340
6 201637
7 201535
8 201532
9 201330
10 201329
11 202228
12 202026
13 201923
14 201322
15 201422
16 202022
17 201521
18 201220
19 201920
20 201218

About David Black-Schaffer

David Black-Schaffer is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 928 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (64 papers), Embedded Systems Design Techniques (6 papers), Low-power high-performance VLSI design (4 papers), Advanced Data Storage Technologies (1 paper), Graph Theory and Algorithms (1 paper), Logic, programming, and type systems (1 paper), Simulation Techniques and Applications (1 paper) and Real-Time Systems Scheduling (1 paper). The work is most often cited by research in Hardware and Architecture (836 citations), Computer Networks and Communications (77 citations), Information Systems (39 citations), Electrical and Electronic Engineering (85 citations) and Computer Graphics and Computer-Aided Design (5 citations). David Black-Schaffer has collaborated with scholars based in Sweden, United States and Norway. Frequent co-authors include Erik Hägersten, David Eklöv, Nikos Nikoleris, Stefanos Kaxiras, Jongsoo Park, James D. Balfour, Trevor E. Carlson, Chang Hyun Park, Alexandra Jimborean and David Sheffield. Their work appears in journals such as IEEE Computer Architecture Letters, Computer, Parallel Computing, IEEE Transactions on Computers and ACM Transactions on Architecture and Code Optimization.

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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