Vinh The Lam
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Artificial Intelligence
- Co-authors
- Amin VahdatGeorge VargheseRong PanNandita DukkipatiTom EdsallMohammad AlizadehSarang DharmapurikarYaogong Wang
- Topics
- Cloud Computing and Resource Management (8 papers)Software-Defined Networks and 5G (6 papers)Network Traffic and Congestion Control (3 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewNational University of Singapore
- Partner nations
- United StatesSingapore
In The Last Decade
Vinh The Lam
11 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 1.4k
- Information Systems 850
- Electrical and Electronic Engineering 280
- Hardware and Architecture 151
- Artificial Intelligence 68
Countries citing papers authored by Vinh The Lam
This map shows the geographic impact of Vinh The Lam'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 Vinh The Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinh The Lam more than expected).
Fields of papers citing papers by Vinh The Lam
This network shows the impact of papers produced by Vinh The Lam. 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 Vinh The Lam. The network helps show where Vinh The Lam may publish in the future.
Co-authorship network of co-authors of Vinh The Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Vinh The Lam. A scholar is included among the top collaborators of Vinh The Lam 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 Vinh The Lam. Vinh The Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 200 | |
| 3 | TIMELYbreakdown → | 333 |
| 4 | CONGAbreakdown → | 524 |
| 5 | 114 | |
| 6 | 58 | |
| 7 | 60 | |
| 8 | 6 | |
| 9 | 62 | |
| 10 | 19 | |
| 11 | Scal-Tool: pinpointing and quantifying scalability bottlenecks in DSM multiprocessors | 3 |
About Vinh The Lam
Vinh The Lam is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), Software-Defined Networks and 5G (6 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Information Systems (850 citations) and Hardware and Architecture (151 citations). Vinh The Lam has collaborated with scholars based in United States and Singapore. Frequent co-authors include Amin Vahdat, George Varghese, Rong Pan, Nandita Dukkipati, Tom Edsall, Mohammad Alizadeh, Sarang Dharmapurikar, Yaogong Wang, Radhika Mittal and David Wetherall. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and National University of Singapore.
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.