Khiem Le
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Haihong ZhengRajeev S. KoodliTakenori YoshimuraMikael DegermarkCarsten BormannHans HannuCarsten BurmeisterKrister Svanbro
- Topics
- Network Traffic and Congestion Control (2 papers)Topic Modeling (2 papers)Software-Defined Networks and 5G (2 papers)
- Cited by
- Computer Networks and CommunicationsHardware and ArchitectureElectrical and Electronic Engineering
- Journals
- Information SciencesIEEE Personal Communications
- Partner nations
- VietnamUnited StatesSingapore
In The Last Decade
Khiem Le
9 papers receiving 95 citations
Peers
Comparison fields: 5 of 19
- Computer Networks and Communications 77
- Electrical and Electronic Engineering 59
- Artificial Intelligence 17
- Computer Vision and Pattern Recognition 11
- Information Systems 10
Countries citing papers authored by Khiem Le
This map shows the geographic impact of Khiem 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 Khiem Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khiem Le more than expected).
Fields of papers citing papers by Khiem Le
This network shows the impact of papers produced by Khiem 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 Khiem Le. The network helps show where Khiem Le may publish in the future.
Co-authorship network of co-authors of Khiem Le
This figure shows the co-authorship network connecting the top 25 collaborators of Khiem Le. A scholar is included among the top collaborators of Khiem Le 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 Khiem Le. Khiem Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | TCP Response to Lower-Layer Connectivity-Change Indications | 3 |
| 7 | Decorrelated Loss Recovery (DCLOR) Using SACK Option for Spurious Timeouts | 1 |
| 8 | 1 | |
| 9 | 7 | |
| 10 | RObust Header Compression (ROHC): Framework and four profiles | 58 |
| 11 | Adaptive Header ComprEssion (ACE) for Real-Time Multimedia | 1 |
| 12 | 19 |
About Khiem Le
Khiem Le is a scholar working on Human-Computer Interaction, Hardware and Architecture and Software, having authored 12 papers that have together received 106 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (2 papers), Topic Modeling (2 papers) and Software-Defined Networks and 5G (2 papers). The work is most often cited by research in Computer Networks and Communications (77 citations), Hardware and Architecture (9 citations) and Electrical and Electronic Engineering (59 citations). Khiem Le has collaborated with scholars based in Vietnam, United States and Singapore. Frequent co-authors include Haihong Zheng, Rajeev S. Koodli, Takenori Yoshimura, Mikael Degermark, Carsten Bormann, Hans Hannu, Carsten Burmeister, Krister Svanbro, Thomas Wiebke and Cuong V. Nguyen. Their work appears in journals such as Information Sciences and IEEE Personal Communications.
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.