Lwin Khin Shar

78 total papers · 1.3k total citations
42 papers, 867 citations indexed

About

Lwin Khin Shar is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Lwin Khin Shar has authored 42 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 23 papers in Artificial Intelligence and 20 papers in Software. Recurrent topics in Lwin Khin Shar's work include Web Application Security Vulnerabilities (20 papers), Advanced Malware Detection Techniques (18 papers) and Software Testing and Debugging Techniques (14 papers). Lwin Khin Shar is often cited by papers focused on Web Application Security Vulnerabilities (20 papers), Advanced Malware Detection Techniques (18 papers) and Software Testing and Debugging Techniques (14 papers). Lwin Khin Shar collaborates with scholars based in Singapore, Luxembourg and Italy. Lwin Khin Shar's co-authors include Hee Beng Kuan Tan, Lionel Briand, Domenico Bianculli, Mariano Ceccato, Mahinthan Chandramohan, Arda Göknil, Abhishek Sharma, Andrew E. Santosa, Asankhaya Sharma and David Lo and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Vehicular Technology and Computer.

In The Last Decade

Lwin Khin Shar

40 papers receiving 819 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lwin Khin Shar 742 464 322 245 224 42 867
Edward J. Schwartz 473 0.6× 657 1.4× 592 1.8× 359 1.5× 203 0.9× 25 1.0k
Guanjun Lin 743 1.0× 575 1.2× 278 0.9× 417 1.7× 323 1.4× 24 1.1k
Andrew Walenstein 521 0.7× 465 1.0× 229 0.7× 212 0.9× 362 1.6× 45 788
Michael Howard 533 0.7× 292 0.6× 282 0.9× 181 0.7× 173 0.8× 18 712
Vijay Sundaresan 482 0.6× 350 0.8× 440 1.4× 417 1.7× 308 1.4× 22 940
Chao Zhang 260 0.4× 342 0.7× 209 0.6× 410 1.7× 201 0.9× 58 775
Moheb R. Girgis 532 0.7× 143 0.3× 239 0.7× 255 1.0× 276 1.2× 46 873
Zijiang Yang 587 0.8× 205 0.4× 270 0.8× 504 2.1× 255 1.1× 64 1.0k
Marcelo d’Amorim 616 0.8× 214 0.5× 314 1.0× 725 3.0× 269 1.2× 67 1.1k
Mahinthan Chandramohan 470 0.6× 600 1.3× 208 0.6× 406 1.7× 305 1.4× 23 804

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

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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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