Phil Green
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
- Genetics top 0.2%
- Genetic diversity and population structure
Papers in
-
- Speech Recognition and Synthesis 63
- Speech and dialogue systems 20
-
- Speech and Audio Processing 49
- Music and Audio Processing 22
- Co-authors
- Brent Ewing (7 shared papers)Michael C. Wendl (1 shared paper)LaDeana Hillier (1 shared paper)David Gordon (4 shared papers)Martin Cooke (15 shared papers)Dick G. Hwang (1 shared paper)Ljubomir Josifovski (6 shared papers)Heidi Christensen (23 shared papers)
- Journals
- Genome Research (10 papers)Computer Speech & Language (5 papers)Color Research & Application (4 papers)Journal of Imaging Science and Technology (4 papers)Speech Communication (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Phil Green
164 papers receiving 17.2k citations
Phil Green's Hit Papers
Peers
Comparison fields: 5 of 208
- Signal Processing 1.6k
- Genetics 3.2k
- Molecular Biology 7.9k
- Plant Science 3.4k
- Endocrinology 457
Countries citing papers authored by Phil Green
This map shows the geographic impact of Phil Green'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 Phil Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Green more than expected).
Fields of papers citing papers by Phil Green
This network shows the impact of papers produced by Phil Green. 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 Phil Green. The network helps show where Phil Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Green, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Base-Calling of Automated Sequencer Traces UsingPhred. I. Accuracy Assessment Hit paper breakdown → | 1998 | 5732 |
| 2 | Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities Hit paper breakdown → | 1998 | 4444 |
| 3 | Consed: A Graphical Tool for Sequence Finishing Hit paper breakdown → | 1998 | 2710 |
| 4 | 2001 | 422 | |
| 5 | 2009 | 291 | |
| 6 | 2001 | 276 | |
| 7 | 2004 | 276 | |
| 8 | 2000 | 236 | |
| 9 | 2003 | 230 | |
| 10 | 2013 | 191 | |
| 11 | 2012 | 155 | |
| 12 | 2021 | 144 | |
| 13 | 2004 | 132 | |
| 14 | 1996 | 118 | |
| 15 | 2005 | 112 | |
| 16 | 2000 | 95 | |
| 17 | 2012 | 90 | |
| 18 | 2001 | 89 | |
| 19 | 2010 | 87 | |
| 20 | 2006 | 81 |
About Phil Green
Phil Green is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Atomic and Molecular Physics, and Optics and Physiology, having authored 175 papers that have together received 18.0k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (63 papers), Speech and Audio Processing (49 papers), Color Science and Applications (24 papers), Voice and Speech Disorders (22 papers), Music and Audio Processing (22 papers), Speech and dialogue systems (20 papers), Phonetics and Phonology Research (17 papers) and Image Enhancement Techniques (9 papers). The work is most often cited by research in Signal Processing (1.6k citations), Genetics (3.2k citations), Molecular Biology (7.9k citations), Plant Science (3.4k citations) and Endocrinology (457 citations). Phil Green has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Brent Ewing, Michael C. Wendl, LaDeana Hillier, David Gordon, Martin Cooke, Dick G. Hwang, Ljubomir Josifovski, Heidi Christensen, Jon Barker and Ascension Vizinho. Their work appears in journals such as Genome Research, Computer Speech & Language, Color Research & Application, Journal of Imaging Science and Technology and Speech Communication.
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.