Lwin Khin Shar

1.3k citations
43 papers · 884 indexed · h-index 17
Topics
Web Application Security Vulnerabilities (20 papers)Advanced Malware Detection Techniques (18 papers)Software Testing and Debugging Techniques (14 papers)
Partner nations
SingaporeLuxembourgItaly

In The Last Decade

Lwin Khin Shar

40 papers receiving 836 citations

Peers

Lwin Khin Shar
Comparison fields: 5 of 39
  • Information Systems 754
  • Signal Processing 472
  • Artificial Intelligence 317
  • Software 246
  • Computer Networks and Communications 233
Replace Michael Howard with:
Michael Howard United States
Fabian Yamaguchi Germany
Mahinthan Chandramohan Singapore
Raja Vallée-Rai Canada
Coen De Roover Belgium
Martin Johns Germany
Caroline Lemieux United States
Vitaly Chipounov Switzerland
Weishi Wang China
André Grégio Brazil
Lwin Khin Shar relative to Michael Howard United States Michael Howard's profile →
Citations per field
00.5×9.3×
Michael Howard · 1×
Citations per year

Countries citing papers authored by Lwin Khin Shar

Since Specialization
Citations

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

Fields of papers citing papers by Lwin Khin Shar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lwin Khin Shar

This figure shows the co-authorship network connecting the top 25 collaborators of Lwin Khin Shar. A scholar is included among the top collaborators of Lwin Khin Shar 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 Lwin Khin Shar. Lwin Khin Shar 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 4
3 1
4 0
5 3
6 2
7 6
8 1
9 4
10 50
11 5
12 5
13 1
14 21
15 9
16 0
17 14
18
Empirical Comparison of Intermediate Representations for Android Applications.
2
19 54
20 1

About Lwin Khin Shar

Lwin Khin Shar is a scholar working on Software, Signal Processing and Information Systems, having authored 43 papers that have together received 884 indexed citations. Recurring topics across this work include Web Application Security Vulnerabilities (20 papers), Advanced Malware Detection Techniques (18 papers) and Software Testing and Debugging Techniques (14 papers). The work is most often cited by research in Software (246 citations), Signal Processing (472 citations) and Information Systems (754 citations). Lwin Khin Shar has collaborated with scholars based in Singapore, Luxembourg and Italy. Frequent co-authors include Hee Beng Kuan Tan, Lionel Briand, Domenico Bianculli, Mahinthan Chandramohan, Mariano Ceccato, Arda Göknil, David Lo, Fabrizio Pastore, Andrew E. Santosa and Abhishek Sharma. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Vehicular Technology 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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