Kyi Thar

506 citations
29 papers · 313 · h-index 12

Impact in

    • Caching and Content Delivery
    • Opportunistic and Delay-Tolerant Networks
    • Cooperative Communication and Network Coding
    • IoT and Edge/Fog Computing
    • Peer-to-Peer Network Technologies
    • Recommender Systems and Techniques

Papers in

Kyi Thar

27 papers receiving 312 citations

Peers

Kyi Thar
Comparison fields: 5 of 42
  • Computer Networks and Communications 255
  • Information Systems 54
  • Computational Mathematics 1
  • Computer Vision and Pattern Recognition 32
  • Transportation 9
Replace Tobias Flach with:
Tobias Flach United States
Sunitha Safavat United States
Ivan Gojmerac Austria
Muhammad Muneer Umar Pakistan
Σέργιος Σούρσος Greece
Jinyuan Gu China
Abdelrahman H. Hussein Jordan
Sabrina Klos Germany
Tien-Dung Nguyen South Korea
Prohim Tam South Korea
Kyi Thar relative to Tobias Flach United States Tobias Flach's profile →
Citations per field
00.5×5.7×
Tobias Flach · 1×
Citations per year

Countries citing papers authored by Kyi Thar

Since Specialization
Citations

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

Fields of papers citing papers by Kyi Thar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kyi Thar, 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 Kyi Thar Line = papers co-authored together Kyi Thar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201848
2 201929
3 202125
4 201921
5 201620
6 201719
7 201817
8 201914
9 201413
10 202211
11 201511
12 201711
13 202010
14 20159
15 20219
16 20166
17 20196
18 20226
19 20155
20 20214

About Kyi Thar

Kyi Thar is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Materials Chemistry and Artificial Intelligence, having authored 29 papers that have together received 313 indexed citations. Recurring topics across this work include Caching and Content Delivery (23 papers), Opportunistic and Delay-Tolerant Networks (16 papers), Cooperative Communication and Network Coding (8 papers), Recommender Systems and Techniques (5 papers), Image and Video Quality Assessment (5 papers), Carbon and Quantum Dots Applications (3 papers), Cloud Computing and Resource Management (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Networks and Communications (255 citations), Information Systems (54 citations), Computational Mathematics (1 citation), Computer Vision and Pattern Recognition (32 citations) and Transportation (9 citations). Kyi Thar has collaborated with scholars based in South Korea, Vietnam and Singapore. Frequent co-authors include Choong Seon Hong, Thant Zin Oo, Nguyen H. Tran, Saeed Ullah, Eui‐Nam Huh, Anselme Ndikumana, Ki Tae Kim, Zhu Han, Yan Kyaw Tun and Do Hyeon Kim. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Multimedia Tools and Applications, Symmetry and 한국정보과학회 학술발표논문집.

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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