Daniel Greene
Impact in
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- Computational Geometry and Mesh Generation
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- Complexity and Algorithms in Graphs
Papers in
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- Algorithms and Data Compression 4
- Anomaly Detection Techniques and Applications 2
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- Optimization and Search Problems 3
- Opportunistic and Delay-Tolerant Networks 2
- Co-authors
- Tomás Feder (1 shared paper)Donald E. Knuth (2 shared papers)F. Frances Yao (1 shared paper)H. Hindi (2 shared papers)Anthony Papavasiliou (1 shared paper)Jim Reich (3 shared papers)Juan Liu (1 shared paper)Tong Zhang (2 shared papers)
- Journals
- Communications of the ACM (1 paper)Algorithmica (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Birkhäuser Basel eBooks (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Daniel Greene
18 papers receiving 650 citations
Peers
Comparison fields: 5 of 75
- Computer Graphics and Computer-Aided Design 177
- Computational Theory and Mathematics 169
- Signal Processing 102
- Computer Vision and Pattern Recognition 173
- Artificial Intelligence 244
Countries citing papers authored by Daniel Greene
This map shows the geographic impact of Daniel Greene'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 Daniel Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Greene more than expected).
Fields of papers citing papers by Daniel Greene
This network shows the impact of papers produced by Daniel Greene. 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 Daniel Greene. The network helps show where Daniel Greene may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel Greene, 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 | 1988 | 229 | |
| 2 | 1989 | 116 | |
| 3 | 1990 | 114 | |
| 4 | 1986 | 97 | |
| 5 | 2011 | 58 | |
| 6 | 2010 | 37 | |
| 7 | 2011 | 28 | |
| 8 | 2000 | 9 | |
| 9 | 2002 | 9 | |
| 10 | Reliability of Adaptation Layers | 1992 | 6 |
| 11 | 2008 | 6 | |
| 12 | 2005 | 4 | |
| 13 | 1993 | 3 | |
| 14 | 2002 | 3 | |
| 15 | Mathematics for the Analysis of Algorithms: Modern Birkhuser Classics | 2007 | 2 |
| 16 | 1994 | 2 | |
| 17 | 1990 | 2 | |
| 18 | A Computationally-Efficient Collision Early Warning System for Vehicles, Pedestrians, and Bicyclists | 2008 | 1 |
About Daniel Greene
Daniel Greene is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 18 papers that have together received 726 indexed citations. Recurring topics across this work include Algorithms and Data Compression (4 papers), Optimization and Search Problems (3 papers), Advanced Data Compression Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Anomaly Detection Techniques and Applications (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (177 citations), Computational Theory and Mathematics (169 citations), Signal Processing (102 citations), Computer Vision and Pattern Recognition (173 citations) and Artificial Intelligence (244 citations). Daniel Greene has collaborated with scholars based in United States and Japan. Frequent co-authors include Tomás Feder, Donald E. Knuth, F. Frances Yao, H. Hindi, Anthony Papavasiliou, Jim Reich, Juan Liu, Tong Zhang, Bryan Lyles and Fei Yao. Their work appears in journals such as Communications of the ACM, Algorithmica, IEEE Transactions on Intelligent Transportation Systems, Birkhäuser Basel eBooks and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).
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.