Maureen Stone

7.1k total citations · 1 hit paper
152 papers, 4.8k citations indexed

About

Maureen Stone is a scholar working on Computer Vision and Pattern Recognition, Physiology and Signal Processing. According to data from OpenAlex, Maureen Stone has authored 152 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 37 papers in Physiology and 36 papers in Signal Processing. Recurrent topics in Maureen Stone's work include Voice and Speech Disorders (36 papers), Speech and Audio Processing (29 papers) and Phonetics and Phonology Research (28 papers). Maureen Stone is often cited by papers focused on Voice and Speech Disorders (36 papers), Speech and Audio Processing (29 papers) and Phonetics and Phonology Research (28 papers). Maureen Stone collaborates with scholars based in United States, Canada and France. Maureen Stone's co-authors include Eric A. Bier, Tony DeRose, William Buxton, Ken Pier, Ken Fishkin, Terry Winograd, Chandra Kambhamettu, Jerry L. Prince, François Guimbretière and Jonghye Woo and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and Magnetic Resonance in Medicine.

In The Last Decade

Maureen Stone

146 papers receiving 4.3k citations

Hit Papers

Toolglass and magic lenses 1993 2026 2004 2015 1993 250 500 750

Peers

Maureen Stone
Comparison fields: 5 of 164
  • Computer Vision and Pattern Recognition 2.2k
  • Human-Computer Interaction 1.6k
  • Artificial Intelligence 841
  • Signal Processing 786
  • Cognitive Neuroscience 742
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Dimitris Metaxas United States
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Yuanqing Li China
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Citations per field, relative to Maureen Stone
Maureen Stone · 1×
Citations per year, relative to Maureen Stone
Maureen Stone · 1×

Countries citing papers authored by Maureen Stone

Since Specialization
Citations

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

Fields of papers citing papers by Maureen Stone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maureen Stone

This figure shows the co-authorship network connecting the top 25 collaborators of Maureen Stone. A scholar is included among the top collaborators of Maureen Stone 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 Maureen Stone. Maureen Stone 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
# Work Indexed citations
1 0
2 2
3 0
4 2
5 4
6 18
7
Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study
1
8
An educational platform to capture, visualize and analyze rare singing
5
9 19
10 2
11 4
12 31
13 12
14 18
15 24
16 14
17
Snake for Band Edge Extraction and Its Applications.
10
18
MODELLING THE INTERNAL TONGUE USING PRINCIPAL STRAINS
10
19 91
20
An introduction to Gargoyle: an interactive illustration tool
15

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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