Michael LeMay

499 citations
21 papers · 295 · h-index 9

Impact in

Papers in

Michael LeMay

20 papers receiving 276 citations

Peers

Michael LeMay
Comparison fields: 5 of 29
  • Hardware and Architecture 36
  • Control and Systems Engineering 118
  • Signal Processing 52
  • Artificial Intelligence 129
  • Computer Networks and Communications 90
Replace Osman Ugus with:
Osman Ugus Germany
Jiansheng Huang Australia
Mostafa Mohammadpourfard Iran
Benjamin Weyl Germany
Ammar K. Alazzawi Malaysia
Sergio Ricciardi Spain
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Citations per field
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Citations per year

Countries citing papers authored by Michael LeMay

Since Specialization
Citations

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

Fields of papers citing papers by Michael LeMay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael LeMay, 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 Michael LeMay Line = papers co-authored together Michael LeMay 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 200880
2 200760
3 201232
4 201028
5 202316
6 202115
7
Acoustic Surveillance of Physically Unmodified PCs.
200613
8 200913
9 20228
10 20147
11 20115
12 20075
13 20242
14 20232
15 20242
16
Supporting Emergency-Response by Retasking Network Infrastructures
20072
17
Dependable Emergency-Response Networking Based on Retaskable Network Infrastructures
20082
18 20091
19
Compact integrity-aware architectures
20111
20 20041

About Michael LeMay

Michael LeMay is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems and Control and Systems Engineering, having authored 21 papers that have together received 295 indexed citations. Recurring topics across this work include Security and Verification in Computing (10 papers), Smart Grid Security and Resilience (4 papers), Advanced Malware Detection Techniques (4 papers), Cryptographic Implementations and Security (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Chaos-based Image/Signal Encryption (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Hardware and Architecture (36 citations), Control and Systems Engineering (118 citations), Signal Processing (52 citations), Artificial Intelligence (129 citations) and Computer Networks and Communications (90 citations). Michael LeMay has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Carl A. Gunter, George Gross, Sanjam Garg, Mohammad Maifi Hasan Khan, Jason J. Haas, Jiawei Han, Tarek Abdelzaher, Yong Yang, Deian Stefan and Dong Kun Noh. Their work appears in journals such as IEEE Micro, ACM Transactions on Sensor Networks, Proceedings of the ACM on Programming Languages, IEEE Transactions on Smart Grid and Defense Technical Information Center (DTIC).

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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