Lisa Yan
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Science Applications top 10%
- Artificial Intelligence
- Co-authors
- Nick McKeownGeorge VargheseChris PiechMohammad AlizadehSachin KattiNick CerconeSimon K. RushtonRobert S. Allison
- Topics
- Online Learning and Analytics (4 papers)Teaching and Learning Programming (4 papers)Software-Defined Networks and 5G (4 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewComputers & Mathematics with ApplicationsNetworked Systems Design and Implementation
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Lisa Yan
17 papers receiving 281 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 166
- Information Systems 88
- Electrical and Electronic Engineering 48
- Computer Science Applications 47
- Artificial Intelligence 27
Countries citing papers authored by Lisa Yan
This map shows the geographic impact of Lisa Yan'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 Lisa Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Yan more than expected).
Fields of papers citing papers by Lisa Yan
This network shows the impact of papers produced by Lisa Yan. 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 Lisa Yan. The network helps show where Lisa Yan may publish in the future.
Co-authorship network of co-authors of Lisa Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Yan. A scholar is included among the top collaborators of Lisa Yan 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 Lisa Yan. Lisa Yan 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 | 4 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 22 | |
| 14 | 20 | |
| 15 | 30 | |
| 16 | Compiling packet programs to reconfigurable switches | 96 |
| 17 | 47 | |
| 18 | 13 | |
| 19 | New simple virtual walking method – walking on the spot | 17 |
About Lisa Yan
Lisa Yan is a scholar working on Computer Science Applications, Software and Human-Computer Interaction, having authored 19 papers that have together received 289 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Teaching and Learning Programming (4 papers) and Software-Defined Networks and 5G (4 papers). The work is most often cited by research in Computer Science Applications (47 citations), Computer Networks and Communications (166 citations) and Information Systems (88 citations). Lisa Yan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Nick McKeown, George Varghese, Chris Piech, Mohammad Alizadeh, Sachin Katti, Nick Cercone, Simon K. Rushton, Robert S. Allison, Mehran Sahami and Jordan Schwartz. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Computers & Mathematics with Applications and Networked Systems Design and Implementation.
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.