Dinoj Surendran

426 total citations
10 papers, 187 citations indexed

About

Dinoj Surendran is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Dinoj Surendran has authored 10 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Dinoj Surendran's work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (4 papers) and Phonetics and Phonology Research (4 papers). Dinoj Surendran is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (4 papers) and Phonetics and Phonology Research (4 papers). Dinoj Surendran collaborates with scholars based in United States, United Kingdom and Australia. Dinoj Surendran's co-authors include Gina‐Anne Levow, Stephanie F. Stokes, Michael Kazhdan, Hugues Hoppe, Partha Niyogi, Yi Xu and Fang Liu and has published in prestigious journals such as ACM Transactions on Graphics, Journal of Speech Language and Hearing Research and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

Dinoj Surendran

10 papers receiving 170 citations

Peers

Dinoj Surendran
Comparison fields: 5 of 39
  • Artificial Intelligence 102
  • Experimental and Cognitive Psychology 79
  • Developmental and Educational Psychology 33
  • Signal Processing 31
  • Computer Vision and Pattern Recognition 24
Mahmood Bijankhan Iran
Claire Pillot-Loiseau France
Helena Moniz Portugal
Bogdan Ludusan Germany
Thomas Portele Germany
Jan Roelof de Pijper Netherlands
Victoria Marrero Aguiar Spain
Jonathan Howell United States
Fabio Tesser United States
Sheri Hunnicutt Sweden
Mahmood Bijankhan Iran View profile →
Citations per field, relative to Dinoj Surendran
Dinoj Surendran · 1×
Citations per year, relative to Dinoj Surendran
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Countries citing papers authored by Dinoj Surendran

Since Specialization
Citations

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

Fields of papers citing papers by Dinoj Surendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinoj Surendran

This figure shows the co-authorship network connecting the top 25 collaborators of Dinoj Surendran. A scholar is included among the top collaborators of Dinoj Surendran 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 Dinoj Surendran. Dinoj Surendran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1
Measuring the Usefulness (Functional Load) of Phonological Contrasts
8
2 21
3 4
4
Analysis and automatic recognition of tones in mandarin chinese
5
5 5
6 63
7
Additional Cues for Mandarin Tone Recognition
3
8 8
9 42
10 28

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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