449 total citations 13 papers, 171 citations indexed
About
Mario Lasseck is a scholar working on Developmental Biology, Ecology and Signal Processing.
According to data from OpenAlex, Mario Lasseck has authored 13 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Developmental Biology, 5 papers in Ecology and 5 papers in Signal Processing. Recurrent topics in Mario Lasseck's work include Animal Vocal Communication and Behavior (9 papers), Music and Audio Processing (4 papers) and Species Distribution and Climate Change (4 papers). Mario Lasseck is often cited by papers focused on Animal Vocal Communication and Behavior (9 papers), Music and Audio Processing (4 papers) and Species Distribution and Climate Change (4 papers). Mario Lasseck collaborates with scholars based in Germany, Japan and Czechia. Mario Lasseck's co-authors include Ulrike Sturm, Hervé Goëau, Alexis Joly, Pierre Bonnet, Milan Šulc, Silke L. Voigt‐Heucke, Kim G. Mortega, Gerlind U. C. Lehmann, Manfred Hild and Tarik Hadzibeganovic and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal für Ornithologie and CLEF (Working Notes).
Citations per year, relative to Mario Lasseck Mario Lasseck (= 1×)
peers
Edgar E. Vallejo
Countries citing papers authored by Mario Lasseck
Since
Specialization
Citations
This map shows the geographic impact of Mario Lasseck'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 Mario Lasseck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Lasseck more than expected).
This network shows the impact of papers produced by Mario Lasseck. 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 Mario Lasseck. The network helps show where Mario Lasseck may publish in the future.
Co-authorship network of co-authors of Mario Lasseck
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Lasseck.
A scholar is included among the top collaborators of Mario Lasseck 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 Mario Lasseck. Mario Lasseck is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lasseck, Mario. (2018). Machines vs. Human Experts: Contribution to the ExpertLifeCLEF 2018 Plant Identification Task.. CLEF (Working Notes).1 indexed citations
6.
Lasseck, Mario. (2018). Audio-based Bird Species Identification with Deep Convolutional Neural Networks.. CLEF (Working Notes).38 indexed citations
Lasseck, Mario. (2017). Image-based Plant Species Identification with Deep Convolutional Neural Networks.. CLEF (Working Notes).24 indexed citations
9.
Lasseck, Mario. (2016). Improving Bird Identification using Multiresolution Template Matching and Feature Selection during Training.. CLEF (Working Notes). 490–501.5 indexed citations
10.
Lasseck, Mario. (2015). Improved Automatic Bird Identification through Decision Tree based Feature Selection and Bagging.. CLEF (Working Notes).22 indexed citations
11.
Lasseck, Mario. (2014). Large-scale Identification of Birds in Audio Recordings.. CLEF (Working Notes). 643–653.14 indexed citations
12.
Lasseck, Mario. (2013). Bird Song Classification in Field Recordings: Winning Solution for NIPS4B 2013 Competition *.29 indexed citations
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.