Daniel Greene

1.2k citations
18 papers · 720 · h-index 9

Impact in

Papers in

Daniel Greene

18 papers receiving 645 citations

Peers

Daniel Greene
Comparison fields: 5 of 75
  • Computer Graphics and Computer-Aided Design 177
  • Computational Theory and Mathematics 168
  • Signal Processing 102
  • Computer Vision and Pattern Recognition 172
  • Artificial Intelligence 243
Replace Isao Shirakawa with:
Isao Shirakawa Japan
Satish Rao United States
Sanjiv Kapoor United States
Simeon Ntafos United States
Christos Levcopoulos Sweden
Huzur Saran India
Seth Pettie United States
Riko Jacob United States
Chris Harrelson United States
Jittat Fakcharoenphol Thailand
Daniel Greene relative to Isao Shirakawa Japan Isao Shirakawa's profile →
Citations per field
00.5×1.5×1.8×
Isao Shirakawa · 1×
Citations per year

Countries citing papers authored by Daniel Greene

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Greene Line = papers co-authored together Daniel Greene links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1988225
2 1989115
3 1990113
4 198697
5 201158
6 201037
7 201128
8 20009
9 20029
10
Reliability of Adaptation Layers
19926
11 20086
12 20054
13 19933
14 20023
15
Mathematics for the Analysis of Algorithms: Modern Birkhuser Classics
20072
16 19942
17 19902
18
A Computationally-Efficient Collision Early Warning System for Vehicles, Pedestrians, and Bicyclists
20081

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 720 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), Mobile Ad Hoc Networks (2 papers), Smart Grid Energy Management (2 papers) and Opportunistic and Delay-Tolerant Networks (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (177 citations), Computational Theory and Mathematics (168 citations), Signal Processing (102 citations), Computer Vision and Pattern Recognition (172 citations) and Artificial Intelligence (243 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 IEEE Transactions on Intelligent Transportation Systems, Algorithmica, Communications of the ACM, Birkhäuser Boston eBooks and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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.

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