Isabelle Stanton
Impact in
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- Graph Theory and Algorithms
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- Caching and Content Delivery
- Interconnection Networks and Systems
Papers in
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- Complex Network Analysis Techniques 3
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- Topic Modeling 2
- Co-authors
- Gabriel Kliot (1 shared paper)Ali Pınar (1 shared paper)Nina Mishra (2 shared papers)Robert Schreiber (1 shared paper)Robert E. Tarjan (1 shared paper)Samuel Ieong (1 shared paper)Virginia Vassilevska Williams (1 shared paper)Virginia Smith (1 shared paper)
- Journals
- Internet Mathematics (1 paper)Journal of Quantitative Analysis in Sports (1 paper)ACM Journal of Experimental Algorithmics (1 paper)
- Partner nations
- United States
In The Last Decade
Isabelle Stanton
7 papers receiving 368 citations
Isabelle Stanton's Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 255
- Computer Networks and Communications 184
- Statistical and Nonlinear Physics 76
- Hardware and Architecture 36
- Information Systems 117
Countries citing papers authored by Isabelle Stanton
This map shows the geographic impact of Isabelle Stanton'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 Isabelle Stanton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Stanton more than expected).
Fields of papers citing papers by Isabelle Stanton
This network shows the impact of papers produced by Isabelle Stanton. 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 Isabelle Stanton. The network helps show where Isabelle Stanton may publish in the future.
Co-authors
The 8 scholars most cited alongside Isabelle Stanton, 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 | Streaming graph partitioning for large distributed graphs Hit paper breakdown → | 2012 | 278 |
| 2 | 2008 | 31 | |
| 3 | 2012 | 30 | |
| 4 | 2014 | 22 | |
| 5 | 2013 | 15 | |
| 6 | 2013 | 7 | |
| 7 | 2015 | 1 |
About Isabelle Stanton
Isabelle Stanton is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, Molecular Biology and Mathematical Physics, having authored 7 papers that have together received 384 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Topic Modeling (2 papers), Optimization and Search Problems (1 paper), Caching and Content Delivery (1 paper), Stochastic processes and statistical mechanics (1 paper), Peer-to-Peer Network Technologies (1 paper), Game Theory and Voting Systems (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (255 citations), Computer Networks and Communications (184 citations), Statistical and Nonlinear Physics (76 citations), Hardware and Architecture (36 citations) and Information Systems (117 citations). Isabelle Stanton has collaborated with scholars based in United States. Frequent co-authors include Gabriel Kliot, Ali Pınar, Nina Mishra, Robert Schreiber, Robert E. Tarjan, Samuel Ieong, Virginia Vassilevska Williams and Virginia Smith. Their work appears in journals such as Internet Mathematics, Journal of Quantitative Analysis in Sports and ACM Journal of Experimental Algorithmics.
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.