Hanna Pamuła

536 citations
7 papers · 293 indexed · 1 hit paper · h-index 5
Topics
Speech and Audio Processing (4 papers)Music and Audio Processing (4 papers)Animal Vocal Communication and Behavior (4 papers)

In The Last Decade

Hanna Pamuła

7 papers receiving 281 citations

Hit Papers

Automatic acoustic detection of birds through deep learni...2018202620202023201850100150200

Peers

Hanna Pamuła
Comparison fields: 5 of 50
  • Developmental Biology 208
  • Ecology 144
  • Signal Processing 134
  • Ecological Modeling 43
  • Ecology, Evolution, Behavior and Systematics 36
Replace Olaf Jahn with:
Olaf Jahn Germany
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Nirosha Priyadarshani New Zealand
Jack LeBien United States
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Elly C. Knight Canada
Juan Sebastián Ulloa Colombia
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Hanna Pamuła relative to Olaf Jahn Germany Olaf Jahn's profile →
Citations per field
00.5×2.6×
Olaf Jahn · 1×
Citations per year

Countries citing papers authored by Hanna Pamuła

Since Specialization
Citations

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

Fields of papers citing papers by Hanna Pamuła

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Pamuła

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 28
2 9
3 16
4 5
5
Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challengebreakdown →
233
6 1
7
Nuisance assessment of different annoying sounds based on psychoacoustic metrics and electroencephalography
1

About Hanna Pamuła

Hanna Pamuła is a scholar working on Developmental Biology, Signal Processing and Speech and Hearing, having authored 7 papers that have together received 293 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers) and Animal Vocal Communication and Behavior (4 papers). The work is most often cited by research in Developmental Biology (208 citations), Signal Processing (134 citations) and Ecological Modeling (43 citations). Hanna Pamuła has collaborated with scholars based in Poland, United Kingdom and France. Frequent co-authors include Dan Stowell, Hervé Glotin, Michael D. Wood, Yannis Stylianou, Yves Bas, Elisabetta Versace, Vincent Lostanlen, Lisa Gill, Frants H. Jensen and Ariana Strandburg‐Peshkin. Their work appears in journals such as Materials, Methods in Ecology and Evolution and Ecological Informatics.

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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