Lawrie

1.1k citations
9 papers · 826 · h-index 9

Impact in

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

Papers in

Lawrie

9 papers receiving 740 citations

Peers

Lawrie
Comparison fields: 5 of 39
  • Hardware and Architecture 611
  • Computer Networks and Communications 698
  • Computational Theory and Mathematics 72
  • Software 16
  • Electrical and Electronic Engineering 159
Replace J. Robert Jump with:
J. Robert Jump United States
Siegel United States
Kevin P. McAuliffe United States
W. R. Crowther United States
Dileep Bhandarkar United States
Gordon Brebner United States
Marco Vanneschi Italy
William C. Brantley United States
Chuan-lin Wu United States
Kuck United States
Lawrie relative to J. Robert Jump United States J. Robert Jump's profile →
Citations per field
00.5×
J. Robert Jump · 1×
Citations per year

Countries citing papers authored by Lawrie

Since Specialization
Citations

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

Fields of papers citing papers by Lawrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Lawrie, 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 Lawrie Line = papers co-authored together Lawrie links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1987206
2 1980194
3 1982119
4 198184
5 198381
6 197775
7 198234
8 198121
9 198212

About Lawrie

Lawrie is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 9 papers that have together received 826 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (6 papers), Parallel Computing and Optimization Techniques (5 papers), Embedded Systems Design Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Low-power high-performance VLSI design (2 papers), Digital Filter Design and Implementation (1 paper), Algorithms and Data Compression (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (611 citations), Computer Networks and Communications (698 citations), Computational Theory and Mathematics (72 citations), Software (16 citations) and Electrical and Electronic Engineering (159 citations). Lawrie has collaborated with scholars based in United States and Jordan. Frequent co-authors include Kuck, Pen-Chung Yew, Nian-Feng Tzeng and Padua. Their work appears in journals such as IEEE Transactions on Computers and Computer.

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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