Sten Sootla

549 citations
6 papers · 108 · h-index 5

Impact in

Papers in

Journals
Entropy (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Interspeech 2022 (1 paper)
Partner nations
FinlandEstonia

In The Last Decade

Sten Sootla

6 papers receiving 106 citations

Peers

Sten Sootla
Comparison fields: 5 of 21
  • Signal Processing 83
  • Computational Mechanics 43
  • Artificial Intelligence 51
  • Cognitive Neuroscience 18
  • Computer Vision and Pattern Recognition 13
Replace Amin Fazel with:
Amin Fazel United States
Ju Lin United States
Bunlong Lay Germany
Chien-Feng Liao Taiwan
Jean-Marie Lemercier Germany
Peter Plantinga United States
Deyi Tuo China
Rama Doddipatla United Kingdom
Y. Obuchi Japan
Felicia S. C. Lim United States
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Citations per field
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Citations per year

Countries citing papers authored by Sten Sootla

Since Specialization
Citations

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

Fields of papers citing papers by Sten Sootla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Sten Sootla, 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 Sten Sootla Line = papers co-authored together Sten Sootla links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 202136
2 202230
3 202228
4 20239
5 20174
6
Non-Synergistic Variational Autoencoders
20181

About Sten Sootla

Sten Sootla is a scholar working on Cognitive Neuroscience, Signal Processing, Computer Networks and Communications, Condensed Matter Physics and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 108 indexed citations. Recurring topics across this work include Speech and Audio Processing (2 papers), Acoustic Wave Phenomena Research (1 paper), Hearing Loss and Rehabilitation (1 paper), Theoretical and Computational Physics (1 paper), Software-Defined Networks and 5G (1 paper), Fault Detection and Control Systems (1 paper), Neural dynamics and brain function (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Signal Processing (83 citations), Computational Mechanics (43 citations), Artificial Intelligence (51 citations), Cognitive Neuroscience (18 citations) and Computer Vision and Pattern Recognition (13 citations). Sten Sootla has collaborated with scholars based in Finland and Estonia. Frequent co-authors include Ando Saabas, Ross Cutler, Robert Aichner, Lorenz Diener, Sebastian Braun, Tanel Pärnamaa, Hannes Gamper, Raúl Vicente and Dirk Oliver Theis. Their work appears in journals such as Entropy, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.

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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