C. L. McCreary

502 citations
21 papers · 295 indexed · h-index 7
Topics
Distributed and Parallel Computing Systems (11 papers)Parallel Computing and Optimization Techniques (8 papers)Interconnection Networks and Systems (5 papers)
Partner nations
United States

In The Last Decade

C. L. McCreary

17 papers receiving 268 citations

Peers

C. L. McCreary
Comparison fields: 5 of 36
  • Computer Networks and Communications 229
  • Hardware and Architecture 190
  • Information Systems 68
  • Industrial and Manufacturing Engineering 41
  • Artificial Intelligence 35
Replace D.C. Cann with:
D.C. Cann United States
Apan Qasem United States
P. Mehrotra United States
Eric Mohr United States
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Citations per field
00.5×4.1×
D.C. Cann · 1×
Citations per year

Countries citing papers authored by C. L. McCreary

Since Specialization
Citations

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

Fields of papers citing papers by C. L. McCreary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. L. McCreary

This figure shows the co-authorship network connecting the top 25 collaborators of C. L. McCreary. A scholar is included among the top collaborators of C. L. McCreary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. L. McCreary. C. L. McCreary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 66
3 8
4 7
5 5
6 2
7 77
8
Incremental Graph Parsing
0
9 1
10
A Graph Parsing Algorithm and Implementation
3
11
A Numerical Comparative Analysis of Partitioning Heuristics for Scheduling Tak Graphs on Multiprocessors
1
12 0
13 2
14 20
15
A Comparison of Task Partitioning Techniques
0
16
Modeling Communication Delay on the iPSC/2 AND iPSC/860 Hypercubes
1
17
Efficient Exploitation of Concurrency Using Graph Decomposition.
5
18 86
19 4
20
An algorithm for parsing a graph grammar
6

About C. L. McCreary

C. L. McCreary is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 21 papers that have together received 295 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Parallel Computing and Optimization Techniques (8 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Hardware and Architecture (190 citations), Computer Networks and Communications (229 citations) and Software (26 citations). C. L. McCreary has collaborated with scholars based in United States. Frequent co-authors include Adeel Ahmed Khan, James H. Cross, David B. Brown, Soha Hassoun, M. S. Pindzola, T. W. Gorczyca, R. E. Kurt Stirewalt and T. J. Smith. Their work appears in journals such as Communications of the ACM, Computer Physics Communications and IEEE Transactions on Reliability.

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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