M.L. Lambert
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
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- Network Traffic and Congestion Control
- Caching and Content Delivery
- Peer-to-Peer Network Technologies
Papers in
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- Distributed systems and fault tolerance 2
- Network Traffic and Congestion Control 2
- Mobile Agent-Based Network Management 2
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- Human Motion and Animation 1
- Co-authors
- Lianyang Zhang (2 shared papers)David D. Clark (2 shared papers)James Davidson (1 shared paper)Junning Liu (1 shared paper)Palash Nandy (1 shared paper)Yu He (1 shared paper)Ullas Gargi (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 982 citations
M.L. Lambert's Hit Papers
Peers
Comparison fields: 5 of 88
- Information Systems 490
- Computer Networks and Communications 362
- Human-Computer Interaction 77
- Computer Vision and Pattern Recognition 281
- Management Science and Operations Research 114
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 | 736 |
| 2 | 1987 | 148 | |
| 3 | 1987 | 98 | |
| 4 | 2014 | 80 | |
| 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 1.1k indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (2 papers), Network Traffic and Congestion Control (2 papers), Mobile Agent-Based Network Management (2 papers), Virtual Reality Applications and Impacts (1 paper), Recommender Systems and Techniques (1 paper), Educational Games and Gamification (1 paper), Human Motion and Animation (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Information Systems (490 citations), Computer Networks and Communications (362 citations), Human-Computer Interaction (77 citations), Computer Vision and Pattern Recognition (281 citations) and Management Science and Operations Research (114 citations). M.L. Lambert has collaborated with scholars based in United States. Frequent co-authors include Lianyang Zhang, David D. Clark, James Davidson, Junning Liu, Palash Nandy, Yu He, Ullas Gargi, J P R Bolton, Jack Copeland and S. A. Lewis. 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.