E.S. Parris

533 citations
10 papers · 344 · h-index 8

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems

Papers in

    • Speech Recognition and Synthesis 9
    • Authorship Attribution and Profiling 2
    • Advanced Text Analysis Techniques 1
    • Natural Language Processing Techniques 1
    • Bayesian Methods and Mixture Models 1
    • Text and Document Classification Technologies 1
    • Speech and Audio Processing 8
    • Music and Audio Processing 6

E.S. Parris

10 papers receiving 291 citations

Peers

E.S. Parris
Comparison fields: 5 of 35
  • Signal Processing 297
  • Artificial Intelligence 230
  • Computer Vision and Pattern Recognition 92
  • Developmental Biology 5
  • Computational Mathematics 1
Replace Charles Jankowski with:
Charles Jankowski United States
H. Lloyd-Thomas United Kingdom
Roland Auckenthaler United Kingdom
Murat Akbacak United States
Sabine Deligne United States
Niko Moritz Germany
Julien van Hout United States
Simon Bozonnet France
Aaron Lawson United States
Benoît Fauve United Kingdom
E.S. Parris relative to Charles Jankowski United States Charles Jankowski's profile →
Citations per field
00.5×
Charles Jankowski · 1×
Citations per year

Countries citing papers authored by E.S. Parris

Since Specialization
Citations

This map shows the geographic impact of E.S. Parris'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 E.S. Parris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.S. Parris more than expected).

Fields of papers citing papers by E.S. Parris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.S. Parris. 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 E.S. Parris. The network helps show where E.S. Parris may publish in the future.

Co-authors

The 6 scholars most cited alongside E.S. Parris, 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 E.S. Parris Line = papers co-authored together E.S. Parris links everyone, so they are left out of the graph.

All Works

About E.S. Parris

E.S. Parris is a scholar working on Artificial Intelligence, Signal Processing, Infectious Diseases, Organic Chemistry and Surgery, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (8 papers), Music and Audio Processing (6 papers), Authorship Attribution and Profiling (2 papers), Advanced Text Analysis Techniques (1 paper), Natural Language Processing Techniques (1 paper), Bayesian Methods and Mixture Models (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Signal Processing (297 citations), Artificial Intelligence (230 citations), Computer Vision and Pattern Recognition (92 citations), Developmental Biology (5 citations) and Computational Mathematics (1 citation). E.S. Parris has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Michael J. Carey, H. Lloyd-Thomas, Simon J. Bennett, John S. Bridle, Roland Auckenthaler and J. H. Wright.

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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