Suvda Myagmar

9 total papers · 1.3k total citations
7 papers, 754 citations indexed

About

Suvda Myagmar is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Suvda Myagmar has authored 7 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Suvda Myagmar's work include Security and Verification in Computing (2 papers), Software Engineering Research (2 papers) and Advanced Malware Detection Techniques (2 papers). Suvda Myagmar is often cited by papers focused on Security and Verification in Computing (2 papers), Software Engineering Research (2 papers) and Advanced Malware Detection Techniques (2 papers). Suvda Myagmar collaborates with scholars based in United States. Suvda Myagmar's co-authors include Shan Lu, Yuanyuan Zhou, Zhenmin Li, William Yurcik, Ragib Hasan, Adam J. Lee, Stephen Farrell, Christopher S. Campbell and Roy H. Campbell and has published in prestigious journals such as IEEE Transactions on Software Engineering and Operating Systems Design and Implementation.

In The Last Decade

Suvda Myagmar

7 papers receiving 701 citations

Hit Papers

CP-Miner: finding copy-pa... 2006 2026 2012 2019 2006 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Suvda Myagmar 643 484 306 183 131 7 754
Nathaniel Ayewah 641 1.0× 511 1.1× 213 0.7× 156 0.9× 154 1.2× 12 776
Ishan Banerjee 394 0.6× 534 1.1× 185 0.6× 218 1.2× 89 0.7× 12 693
Nam H. Pham 615 1.0× 428 0.9× 193 0.6× 194 1.1× 145 1.1× 17 693
J. David Morgenthaler 762 1.2× 562 1.2× 200 0.7× 209 1.1× 208 1.6× 18 880
Taweesup Apiwattanapong 745 1.2× 753 1.6× 107 0.3× 289 1.6× 163 1.2× 16 902
Jooyong Yi 623 1.0× 720 1.5× 134 0.4× 136 0.7× 119 0.9× 25 870
Edward Aftandilian 455 0.7× 323 0.7× 139 0.5× 204 1.1× 197 1.5× 17 657
Thibaud Lutellier 483 0.8× 390 0.8× 121 0.4× 217 1.2× 334 2.5× 13 737
Mahinthan Chandramohan 470 0.7× 406 0.8× 600 2.0× 305 1.7× 208 1.6× 23 804
Daniel Shawcross Wilkerson 449 0.7× 181 0.4× 230 0.8× 158 0.9× 341 2.6× 7 829

Countries citing papers authored by Suvda Myagmar

Since Specialization
Citations

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

Fields of papers citing papers by Suvda Myagmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvda Myagmar

This figure shows the co-authorship network connecting the top 25 collaborators of Suvda Myagmar. A scholar is included among the top collaborators of Suvda Myagmar 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 Suvda Myagmar. Suvda Myagmar 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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