Phil Green

25.0k total citations · 4 hit papers
173 papers, 17.9k citations indexed

About

Phil Green is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Phil Green has authored 173 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 53 papers in Signal Processing and 28 papers in Molecular Biology. Recurrent topics in Phil Green's work include Speech Recognition and Synthesis (63 papers), Speech and Audio Processing (49 papers) and Color Science and Applications (24 papers). Phil Green is often cited by papers focused on Speech Recognition and Synthesis (63 papers), Speech and Audio Processing (49 papers) and Color Science and Applications (24 papers). Phil Green collaborates with scholars based in United Kingdom, United States and Australia. Phil Green's co-authors include Brent Ewing, LaDeana Hillier, Michael C. Wendl, David Gordon, Martin Cooke, Dick G. Hwang, Ljubomir Josifovski, Jon Barker, Heidi Christensen and Ascension Vizinho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Genetics.

In The Last Decade

Phil Green

162 papers receiving 17.1k citations

Hit Papers

Base-Calling of Automated Sequencer Traces UsingPhred. I.... 1998 2026 2007 2016 1998 1998 1998 2021 1000 2.0k 3.0k 4.0k 5.0k

Peers

Phil Green
Comparison fields: 5 of 209
  • Molecular Biology 8.8k
  • Plant Science 3.7k
  • Genetics 3.5k
  • Ecology 2.4k
  • Artificial Intelligence 1.8k
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Joel E. Richardson United States View profile →
Citations per field, relative to Phil Green
Phil Green · 1×
Citations per year, relative to Phil Green
Phil Green · 1×

Countries citing papers authored by Phil Green

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Phil Green

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Green. A scholar is included among the top collaborators of Phil Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phil Green. Phil Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 39
3 6
4 22
5 48
6
A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus
10
7
INTERSPEECH 2012 13th Annual Conference of the International Speech Communication Association
13
8 87
9 79
10 21
11
Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding.
1
12 5
13 79
14 129
15 275
16 7
17
Speech Recognition with Missing Data using Recurrent Neural Nets
15
18 11
19
Robust ASR with unreliable data and minimal assumptions
6
20
Analysis of a simultaneous-speaker sound corpus
2

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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