Jonathan Darch

531 citations
24 papers · 411 · h-index 11

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
  • Paleontology top 10%
    • Archaeology and ancient environmental studies

Papers in

Jonathan Darch

24 papers receiving 366 citations

Peers

Jonathan Darch
Comparison fields: 5 of 80
  • Signal Processing 118
  • Paleontology 45
  • Soil Science 55
  • Ecology 120
  • Global and Planetary Change 72
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Darch

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Darch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Darch. 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 Jonathan Darch. The network helps show where Jonathan Darch may publish in the future.

Co-authors

The 11 scholars most cited alongside Jonathan Darch, 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 Jonathan Darch Line = papers co-authored together Jonathan Darch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985132
2 198352
3 198330
4 198728
5 200720
6 198419
7 201016
8 200616
9 200715
10 200814
11 200614
12 20089
13 19888
14 19838
15 20067
16 20077
17 20074
18 20073
19
Comparing noise compensation methods for robust prediction of acoustic speech features from MFCC vectors in noise
20082
20 20092

About Jonathan Darch

Jonathan Darch is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Cognitive Neuroscience, having authored 24 papers that have together received 411 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Speech Recognition and Synthesis (14 papers), Music and Audio Processing (10 papers), Advanced Adaptive Filtering Techniques (3 papers), Phonetics and Phonology Research (2 papers), Advanced Data Compression Techniques (2 papers), Hearing Loss and Rehabilitation (2 papers) and Soil and Land Suitability Analysis (1 paper). The work is most often cited by research in Signal Processing (118 citations), Paleontology (45 citations), Soil Science (55 citations), Ecology (120 citations) and Global and Planetary Change (72 citations). Jonathan Darch has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include George M. Woodwell, Ben Milner, Saeed V. Vaseghi, J. A. Catt, James Barber, R. M. Fuller, A. R. Barringer, D.N.H. Horler, Yan Qin and Ioannis Andrianakis. Their work appears in journals such as Journal of Ecology, Computer Speech & Language, Economic Geology, The Journal of the Acoustical Society of America and Advances in Space Research.

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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