Michael Le

521 citations
19 papers · 334 indexed · h-index 8

Impact in

Papers in

Michael Le

17 papers receiving 311 citations

Peers

Michael Le
Comparison fields: 5 of 31
  • Computer Networks and Communications 276
  • Information Systems 144
  • Hardware and Architecture 23
  • Software 10
  • Electrical and Electronic Engineering 115
Replace Giuseppe Carella with:
Giuseppe Carella Germany
Nashwa Abdelbaki Egypt
Daniel Turner United States
Ray Huang United States
Altaf Shaik Germany
Ken Gray China
Joshua Wright United States
Dennis Cai China
Michael Le relative to Giuseppe Carella Germany Giuseppe Carella's profile →
Citations per field
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Giuseppe Carella · 1×
Citations per year

Countries citing papers authored by Michael Le

Since Specialization
Citations

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

Fields of papers citing papers by Michael Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Michael Le, 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 Le Line = papers co-authored together Michael Le links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2016121
2 200882
3 200634
4 201123
5 202316
6 201412
7 20238
8 20098
9 20107
10 20234
11 20124
12 20114
13 20094
14 20113
15 20232
16 20181
17 20231
18 20250
19 20250

About Michael Le

Michael Le is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 19 papers that have together received 334 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Security and Verification in Computing (7 papers), Software System Performance and Reliability (5 papers), Distributed systems and fault tolerance (4 papers), Advanced Malware Detection Techniques (3 papers), Radiation Effects in Electronics (3 papers), Software-Defined Networks and 5G (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (276 citations), Information Systems (144 citations), Hardware and Architecture (23 citations), Software (10 citations) and Electrical and Electronic Engineering (115 citations). Michael Le has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Hui Kang, Tao Shu, Mário Gerla, Yuval Tamir, Jérôme Härri, Kevin C. Lee, Joon‐Sang Park, Dan Williams, Tianyin Xu and A. Oswald. Their work appears in journals such as Neurology, ACM SIGPLAN Notices, IEEE Transactions on Dependable and Secure Computing, IEEE Vehicular Technology Magazine and ACS Measurement Science Au.

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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