Murray Browne
Impact in
- Computational Mathematics top 0.5%
- Tensor decomposition and applications
- Signal Processing top 2%
- Blind Source Separation Techniques
Papers in
-
- Land Use and Ecosystem Services 2
- Co-authors
- Michael W. Berry (10 shared papers)V. Paúl Pauca (1 shared paper)Amy Nicole Langville (1 shared paper)Robert J. Plemmons (1 shared paper)Brett W. Bader (1 shared paper)John C. Martin (1 shared paper)Latha Malar Baskaran (2 shared papers)Michael E. Chang (1 shared paper)
- Journals
- Applied Numerical Mathematics (1 paper)Computational and Mathematical Organization Theory (1 paper)Computational Statistics & Data Analysis (1 paper)Ecology and Society (1 paper)Society for Industrial and Applied Mathematics eBooks (2 papers)
- Partner nations
- United States
In The Last Decade
Murray Browne
10 papers receiving 1.4k citations
Murray Browne's Hit Papers
Peers
Comparison fields: 5 of 154
- Computational Mathematics 144
- Signal Processing 309
- Computer Vision and Pattern Recognition 397
- Artificial Intelligence 438
- Media Technology 102
Countries citing papers authored by Murray Browne
This map shows the geographic impact of Murray Browne'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 Murray Browne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray Browne more than expected).
Fields of papers citing papers by Murray Browne
This network shows the impact of papers produced by Murray Browne. 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 Murray Browne. The network helps show where Murray Browne may publish in the future.
Co-authors
The 13 scholars most cited alongside Murray Browne, 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 | Algorithms and applications for approximate nonnegative matrix factorization Hit paper breakdown → | 2006 | 1165 |
| 2 | 2005 | 99 | |
| 3 | 2005 | 85 | |
| 4 | 2007 | 81 | |
| 5 | 2006 | 48 | |
| 6 | Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments, Tools), Second Edition | 2005 | 21 |
| 7 | 2008 | 15 | |
| 8 | 2007 | 7 | |
| 9 | 2008 | 4 | |
| 10 | ESTIMATING LAND-COVER CHANGE IN RSIM: PROBLEMS AND CONSTRAINTS | 2006 | 1 |
About Murray Browne
Murray Browne is a scholar working on Computational Mathematics, Global and Planetary Change, Information Systems, Ecology and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (2 papers), Urban Green Space and Health (1 paper), Face and Expression Recognition (1 paper), Text and Document Classification Technologies (1 paper), Wildlife-Road Interactions and Conservation (1 paper), Advanced Text Analysis Techniques (1 paper), Machine Learning in Materials Science (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Computational Mathematics (144 citations), Signal Processing (309 citations), Computer Vision and Pattern Recognition (397 citations), Artificial Intelligence (438 citations) and Media Technology (102 citations). Murray Browne has collaborated with scholars based in United States. Frequent co-authors include Michael W. Berry, V. Paúl Pauca, Amy Nicole Langville, Robert J. Plemmons, Brett W. Bader, John C. Martin, Latha Malar Baskaran, Michael E. Chang, Rebecca Ann Efroymson and Catherine E. Stewart. Their work appears in journals such as Applied Numerical Mathematics, Computational and Mathematical Organization Theory, Computational Statistics & Data Analysis, Ecology and Society and Society for Industrial and Applied Mathematics eBooks.
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.