Nick Lanham
Impact in
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- Peer-to-Peer Network Technologies
- Advanced Database Systems and Queries
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- Network Traffic and Congestion Control
- Information Systems top 5%
- Cloud Computing and Resource Management
Papers in
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- Advanced Database Systems and Queries 4
- Peer-to-Peer Network Technologies 3
- Co-authors
- Scott J. Shenker (3 shared papers)Sylvia Ratnasamy (2 shared papers)Lee Breslau (2 shared papers)Yatin Chawathe (2 shared papers)Ion Gabriel Stoica (1 shared paper)Ryan Jay Huebsch (1 shared paper)Boon Thau Loo (1 shared paper)Joseph M. Hellerstein (1 shared paper)
- Journals
- Elsevier eBooks (1 paper)ACM Symposium on Cloud Computing (SoCC) (1 paper)UC Berkeley (1 paper)Proceedings - ACM-SIGMOD International Conference on Management of Data (1 paper)ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM) (1 paper)
- Partner nations
- United States
In The Last Decade
Nick Lanham
6 papers receiving 1.1k citations
Nick Lanham's Hit Papers
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 1.1k
- Information Systems 122
- Artificial Intelligence 87
- Statistical and Nonlinear Physics 20
- Hardware and Architecture 12
Countries citing papers authored by Nick Lanham
This map shows the geographic impact of Nick Lanham'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 Nick Lanham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Lanham more than expected).
Fields of papers citing papers by Nick Lanham
This network shows the impact of papers produced by Nick Lanham. 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 Nick Lanham. The network helps show where Nick Lanham may publish in the future.
Co-authors
The 14 scholars most cited alongside Nick Lanham, 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 | Making gnutella-like P2P systems scalable Hit paper breakdown → | 2003 | 763 |
| 2 | 2003 | 364 | |
| 3 | 2003 | 76 | |
| 4 | 2010 | 6 | |
| 5 | 2010 | 6 | |
| 6 | PIQL: A Performance Insightful Query Language For Interactive Applications | 2010 | 3 |
About Nick Lanham
Nick Lanham is a scholar working on Computer Networks and Communications, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Information Systems (122 citations), Artificial Intelligence (87 citations), Statistical and Nonlinear Physics (20 citations) and Hardware and Architecture (12 citations). Nick Lanham has collaborated with scholars based in United States. Frequent co-authors include Scott J. Shenker, Sylvia Ratnasamy, Lee Breslau, Yatin Chawathe, Ion Gabriel Stoica, Ryan Jay Huebsch, Boon Thau Loo, Joseph M. Hellerstein, Michael Armbrust and Stephen Tu. Their work appears in journals such as Elsevier eBooks, ACM Symposium on Cloud Computing (SoCC), UC Berkeley, Proceedings - ACM-SIGMOD International Conference on Management of Data and ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM).
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.