Heath J. LeBlanc

24 papers receiving 846 citations

Hit Papers

Resilient Asymptotic Consensus in Robust Networks20132026201720212013100200300400

Peers

Heath J. LeBlanc
Comparison fields: 5 of 62
  • Computer Networks and Communications 680
  • Control and Systems Engineering 230
  • Electrical and Electronic Engineering 187
  • Artificial Intelligence 95
  • Mechanical Engineering 63
Replace Chris Sangwin with:
Chris Sangwin United Kingdom
Kannan M. Moudgalya India
Joseph G. Tront United States
Mohammad Khansari Iran
M.H. Shor United States
Lijun Dong United States
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Xiannuan Liang United States
Ian Grout Ireland
Heath J. LeBlanc relative to Chris Sangwin United Kingdom Chris Sangwin's profile →
Citations per field
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Countries citing papers authored by Heath J. LeBlanc

Since Specialization
Citations

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

Fields of papers citing papers by Heath J. LeBlanc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heath J. LeBlanc

This figure shows the co-authorship network connecting the top 25 collaborators of Heath J. LeBlanc. A scholar is included among the top collaborators of Heath J. LeBlanc 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 Heath J. LeBlanc. Heath J. LeBlanc 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 1
3 1
4 0
5 54
6 3
7 7
8 4
9 3
10 6
11 20
12 11
13 15
14 6
15
Resilient Asymptotic Consensus in Robust Networksbreakdown →
456
16 19
17 4
18 36
19 54
20 3

About Heath J. LeBlanc

Heath J. LeBlanc is a scholar working on Architecture, Media Technology and Computer Networks and Communications, having authored 26 papers that have together received 871 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (12 papers), Opportunistic and Delay-Tolerant Networks (5 papers) and Engineering Education and Curriculum Development (5 papers). The work is most often cited by research in Computer Networks and Communications (680 citations), Architecture (25 citations) and Control and Systems Engineering (230 citations). Heath J. LeBlanc has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Xenofon Koutsoukos, Haotian Zhang, Shreyas Sundaram, John-David Yoder, János Sztipanovits, Nicholas Kottenstette, Kundan Nepal, Greg Mowry, Yevgeniy Vorobeychik and Mark Yampolskiy. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Control of Network Systems and ACM Transactions on Embedded Computing Systems.

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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