Tanel Pärnamaa

1.9k citations
8 papers · 1.2k indexed · 1 hit paper · h-index 5
Topics
Speech and Audio Processing (6 papers)Advanced Adaptive Filtering Techniques (4 papers)Music and Audio Processing (2 papers)

In The Last Decade

Tanel Pärnamaa

7 papers receiving 1.1k citations

Hit Papers

Deep learning for computational biology20162026201920222016250500750

Peers

Tanel Pärnamaa
Comparison fields: 5 of 148
  • Molecular Biology 599
  • Artificial Intelligence 228
  • Biophysics 173
  • Computational Theory and Mathematics 132
  • Signal Processing 99
Replace Byunghan Lee with:
Byunghan Lee South Korea
Seonwoo Min South Korea
Fayyaz Minhas United Kingdom
Paul Salama United States
Christof Angermueller United Kingdom
Maxwell W. Libbrecht Canada
Arianna Mencattini Italy
Jeremias Sulam United States
Mohammad Hossein Rohban Iran
Wei Shao China
Tanel Pärnamaa relative to Byunghan Lee South Korea Byunghan Lee's profile →
Citations per field
00.5×2.8×
Byunghan Lee · 1×
Citations per year

Countries citing papers authored by Tanel Pärnamaa

Since Specialization
Citations

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

Fields of papers citing papers by Tanel Pärnamaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanel Pärnamaa

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 9
2 0
3 2
4 4
5 47
6 34
7 108
8
Deep learning for computational biologybreakdown →
958

About Tanel Pärnamaa

Tanel Pärnamaa is a scholar working on Signal Processing, Biophysics and Computational Mechanics, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Advanced Adaptive Filtering Techniques (4 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Biophysics (173 citations), Health Informatics (24 citations) and Signal Processing (99 citations). Tanel Pärnamaa has collaborated with scholars based in Estonia, United Kingdom and United States. Frequent co-authors include Leopold Parts, Christof Angermueller, Oliver Stegle, Ross Cutler, Ando Saabas, Robert Aichner, Hannes Gamper, Sebastian Braun, Nicolae-Cătălin Ristea and Min Tang. Their work appears in journals such as Molecular Systems Biology, G3 Genes Genomes Genetics and IEEE Open Journal of Signal 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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