D.C. Cann

672 citations
21 papers · 451 · h-index 10

Impact in

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

Papers in

D.C. Cann

19 papers receiving 389 citations

Peers

D.C. Cann
Comparison fields: 5 of 30
  • Hardware and Architecture 371
  • Computer Networks and Communications 288
  • Artificial Intelligence 176
  • Computational Theory and Mathematics 83
  • Software 13
Replace Toshitsugu Yuba with:
Toshitsugu Yuba Japan
Eric Mohr United States
Kelvin Nilsen United States
A. C. McKellar United States
Peiyi Tang United States
Christine Eisenbeis France
Norman Scaife France
Nicolas Rivierre France
Martin Griebl Germany
Luiz De Rose United States
D.C. Cann relative to Toshitsugu Yuba Japan Toshitsugu Yuba's profile →
Citations per field
00.5×1.5×2.1×
Toshitsugu Yuba · 1×
Citations per year

Countries citing papers authored by D.C. Cann

Since Specialization
Citations

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

Fields of papers citing papers by D.C. Cann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.C. Cann. 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 D.C. Cann. The network helps show where D.C. Cann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990142
2 1992110
3
Compilation techniques for high-performance applicative computation
198947
4 198826
5 199023
6 199120
7 199016
8 199512
9
A report on the Sisal language project
199511
10 19869
11 19908
12 19908
13
SISAL reference manual
19907
14
SISAL multiprocessing support
19874
15
Vectorization of an applicative language: Current results and future directions
19903
16 20031
17 20021
18 20021
19 20021
20
SISAL: Toward resolving the parallel programming crisis
19921

About D.C. Cann

D.C. Cann is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 21 papers that have together received 451 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Distributed and Parallel Computing Systems (8 papers), Logic, programming, and type systems (7 papers), Distributed systems and fault tolerance (4 papers), Cloud Computing and Resource Management (3 papers), Embedded Systems Design Techniques (3 papers), Scientific Computing and Data Management (3 papers) and Real-Time Systems Scheduling (3 papers). The work is most often cited by research in Hardware and Architecture (371 citations), Computer Networks and Communications (288 citations), Artificial Intelligence (176 citations), Computational Theory and Mathematics (83 citations) and Software (13 citations). D.C. Cann has collaborated with scholars based in United States. Frequent co-authors include R. R. Oldehoeft, John Feo, Vivek Sarkar, Paraskevas Evripidou, Stephen J. Allan and Rich Wolski. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Communications of the ACM, IEEE Software and Chemosphere.

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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