R.I. Damper

3.3k citations
216 papers · 2.5k · h-index 24

Impact in

Papers in

R.I. Damper

197 papers receiving 2.3k citations

Peers

R.I. Damper
Comparison fields: 5 of 134
  • Media Technology 503
  • Signal Processing 414
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 622
  • Experimental and Cognitive Psychology 335
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Zheru Chi Hong Kong
Siome Goldenstein Brazil
Yun Fu United States
Hyeonjoon Moon South Korea
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Jan‐Mark Geusebroek Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by R.I. Damper

Since Specialization
Citations

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

Fields of papers citing papers by R.I. Damper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.I. Damper. 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 R.I. Damper. The network helps show where R.I. Damper may publish in the future.

Co-authors

The 25 scholars most cited alongside R.I. Damper, 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 R.I. Damper Line = papers co-authored together R.I. Damper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 216 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006324
2 2008170
3 201391
4 200790
5 200084
6 199379
7 200377
8 200063
9 199952
10 200351
11 198437
12 201037
13 199737
14 200334
15 200934
16 200034
17 201233
18 200632
19
Arabic Text to Arabic Sign Language Translation System for the Deaf and Hearing-Impaired Community
201131
20 200431

About R.I. Damper

R.I. Damper is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 216 papers that have together received 2.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (56 papers), Speech and Audio Processing (33 papers), Neural Networks and Applications (31 papers), Speech and dialogue systems (29 papers), Natural Language Processing Techniques (26 papers), Music and Audio Processing (17 papers), Phonetics and Phonology Research (16 papers) and Handwritten Text Recognition Techniques (12 papers). The work is most often cited by research in Media Technology (503 citations), Signal Processing (414 citations), Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (622 citations) and Experimental and Cognitive Psychology (335 citations). R.I. Damper has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include James D. B. Nelson, Yannick Marchand, S.R. Gunn, Steve R. Gunn, Bin Guo, Ali Hassan, Baofeng Guo, Alastair Channon, Robert W. P. Luk and Stevan Harnad. Their work appears in journals such as Pattern Recognition Letters, Information Fusion, International Journal of Speech Technology, Pattern Recognition and Natural Language Engineering.

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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