John S. Mason

66 papers receiving 701 citations

Peers

John S. Mason
Comparison fields: 5 of 79
  • Signal Processing 375
  • Artificial Intelligence 333
  • Computer Vision and Pattern Recognition 137
  • Orthopedics and Sports Medicine 58
  • Human-Computer Interaction 24
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Nikolaos V. Boulgouris United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by John S. Mason

Since Specialization
Citations

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

Fields of papers citing papers by John S. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Mason. 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 John S. Mason. The network helps show where John S. Mason may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201274
2 201272
3 201368
4 200750
5 200836
6
Recent Trends in Video Analysis: A Taxonomy of Video Classification Problems.
200229
7 200126
8
A voice activity detector based on cepstral analysis
199323
9
Improving the performance of text-independent short duration SVM- and GMM-based speaker verification.
200823
10
Gaussian selection applied to text-independent speaker verification.
200121
11 199721
12 200720
13
THE EFFECTIVENESS OF DRY NEEDLING AND STRETCHING VS. STRETCHING ALONE ON HAMSTRING FLEXIBILITY IN PATIENTS WITH KNEE PAIN: A RANDOMIZED CONTROLLED TRIAL.
201620
14 202019
15 201314
16 200812
17
Treatment of subacute posterior knee pain in an adolescent ballet dancer utilizing trigger point dry needling: a case report.
201412
18 199511
19 200011
20 202110

About John S. Mason

John S. Mason is a scholar working on Signal Processing, Artificial Intelligence, Surgery, Orthopedics and Sports Medicine and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 771 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (27 papers), Speech and Audio Processing (26 papers), Music and Audio Processing (11 papers), Sports injuries and prevention (10 papers), Shoulder Injury and Treatment (7 papers), Knee injuries and reconstruction techniques (5 papers), Musculoskeletal pain and rehabilitation (5 papers) and Gait Recognition and Analysis (4 papers). The work is most often cited by research in Signal Processing (375 citations), Artificial Intelligence (333 citations), Computer Vision and Pattern Recognition (137 citations), Orthopedics and Sports Medicine (58 citations) and Human-Computer Interaction (24 citations). John S. Mason has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Nicholas Evans, Benoît Fauve, Jean-François Bonastre, Rubén Vera-Rodríguez, Julián Fiérrez, Javier Ortega-García, Roland Auckenthaler, Anthony Larcher, Paul D. Ledger and Michael S. Crowell. Their work appears in journals such as Sports Medicine and Arthroscopy Review, Digital Signal Processing, Frontiers in Bioengineering and Biotechnology, IEEE Transactions on Magnetics and IEEE Transactions on Audio Speech and Language Processing.

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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