Alice N. Cheeran

590 citations
58 papers · 413 indexed · h-index 12
Topics
Speech and Audio Processing (19 papers)Speech Recognition and Synthesis (8 papers)Voice and Speech Disorders (8 papers)
Partner nations
IndiaMexicoNepal

In The Last Decade

Alice N. Cheeran

48 papers receiving 371 citations

Peers

Alice N. Cheeran
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 111
  • Biomedical Engineering 90
  • Signal Processing 79
  • Physiology 64
  • Artificial Intelligence 60
Replace Zhen Zhu with:
Zhen Zhu China
Y. Padma Sai India
Brian L. F. Daku Canada
Mehdi Chehel Amirani Iran
Edilson Delgado‐Trejos Colombia
Kyeong-Seop Kim South Korea
Shekh Md Mahmudul Islam United States
Kai Niu China
Martin J. Schuster Germany
Alice N. Cheeran relative to Zhen Zhu China Zhen Zhu's profile →
Citations per field
00.5×3.6×
Zhen Zhu · 1×
Citations per year

Countries citing papers authored by Alice N. Cheeran

Since Specialization
Citations

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

Fields of papers citing papers by Alice N. Cheeran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alice N. Cheeran. 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 Alice N. Cheeran. The network helps show where Alice N. Cheeran may publish in the future.

Co-authorship network of co-authors of Alice N. Cheeran

This figure shows the co-authorship network connecting the top 25 collaborators of Alice N. Cheeran. A scholar is included among the top collaborators of Alice N. Cheeran 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 Alice N. Cheeran. Alice N. Cheeran 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
#WorkIndexed citations
1 1
2 2
3 14
4 6
5 0
6 18
7 2
8 7
9 13
10 29
11 7
12 1
13 1
14 0
15 2
16 1
17
Real Time ECG Feature Extraction and Arrhythmia Detection on a Mobile Platform
40
18 9
19 3
20
Simulation of increased masking in sensorineural hearing loss for a preliminary evaluation of speech processing schemes
2

About Alice N. Cheeran

Alice N. Cheeran is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence, having authored 58 papers that have together received 413 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (8 papers) and Voice and Speech Disorders (8 papers). The work is most often cited by research in Signal Processing (79 citations), Media Technology (25 citations) and Computer Vision and Pattern Recognition (58 citations). Alice N. Cheeran has collaborated with scholars based in India, Mexico and Nepal. Frequent co-authors include H. A. Mangalvedekar, Prem C. Pandey, K. P. Ray, P. K. Sharma, Shweta Yadav, Purva Kulkarni, Amol Deshpande, Pramod Kumar Sharma, Faruk Kazi and N. M. Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and International Journal of Electrical Power & Energy Systems.

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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