M.L. Lambert
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
-
- Network Traffic and Congestion Control
- Caching and Content Delivery
- Peer-to-Peer Network Technologies
Papers in
-
- Network Traffic and Congestion Control 2
- Distributed systems and fault tolerance 2
- Mobile Agent-Based Network Management 2
- Co-authors
- Lianyang Zhang (2 shared papers)David D. Clark (2 shared papers)Yu He (1 shared paper)Ullas Gargi (1 shared paper)James Davidson (1 shared paper)Junning Liu (1 shared paper)Palash Nandy (1 shared paper)J P R Bolton (1 shared paper)
- Journals
- ACM SIGCOMM Computer Communication Review (1 paper)Adelaide Research & Scholarship (AR&S) (University of Adelaide) (1 paper)
- Partner nations
- United States
In The Last Decade
M.L. Lambert
4 papers receiving 1.1k citations
M.L. Lambert's Hit Papers
Peers
Comparison fields: 5 of 85
- Information Systems 571
- Computer Networks and Communications 402
- Human-Computer Interaction 85
- Computer Vision and Pattern Recognition 305
- Artificial Intelligence 336
Countries citing papers authored by M.L. Lambert
This map shows the geographic impact of M.L. Lambert'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 M.L. Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.L. Lambert more than expected).
Fields of papers citing papers by M.L. Lambert
This network shows the impact of papers produced by M.L. Lambert. 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 M.L. Lambert. The network helps show where M.L. Lambert may publish in the future.
Co-authors
The 12 scholars most cited alongside M.L. Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The YouTube video recommendation system Hit paper breakdown → | 2010 | 842 |
| 2 | 1987 | 162 | |
| 3 | 1987 | 108 | |
| 4 | 2014 | 92 | |
| 5 | “So that’s what a flume is!" – making practicals student friendly | 1997 | 0 |
About M.L. Lambert
M.L. Lambert is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (2 papers), Distributed systems and fault tolerance (2 papers), Mobile Agent-Based Network Management (2 papers), Video Analysis and Summarization (1 paper), Virtual Reality Applications and Impacts (1 paper), Music and Audio Processing (1 paper), Recommender Systems and Techniques (1 paper) and Educational Games and Gamification (1 paper). The work is most often cited by research in Information Systems (571 citations), Computer Networks and Communications (402 citations), Human-Computer Interaction (85 citations), Computer Vision and Pattern Recognition (305 citations) and Artificial Intelligence (336 citations). M.L. Lambert has collaborated with scholars based in United States. Frequent co-authors include Lianyang Zhang, David D. Clark, Yu He, Ullas Gargi, James Davidson, Junning Liu, Palash Nandy, J P R Bolton, S. A. Lewis and Jack Copeland. Their work appears in journals such as ACM SIGCOMM Computer Communication Review and Adelaide Research & Scholarship (AR&S) (University of Adelaide).
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.