Sebastian Lapuschkin

About

Sebastian Lapuschkin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Sebastian Lapuschkin has authored 37 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Sebastian Lapuschkin’s work include Explainable Artificial Intelligence (XAI) (18 papers), Adversarial Robustness in Machine Learning (9 papers) and Machine Learning and Data Classification (9 papers). Sebastian Lapuschkin is often cited by papers focused on Explainable Artificial Intelligence (XAI) (18 papers), Adversarial Robustness in Machine Learning (9 papers) and Machine Learning and Data Classification (9 papers). Sebastian Lapuschkin collaborates with scholars based in Germany, Singapore and South Korea. Sebastian Lapuschkin's co-authors include Wojciech Samek, Klaus‐Robert Müller, Alexander Binder, Grégoire Montavon, Irene Sturm, Stephan Wäldchen, Philipp Seegerer, Fabian Horst, Wolfgang I. Schöllhorn and Miriam Hägele and has published in prestigious journals such as Nature Communications, NeuroImage and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Sebastian Lapuschkin i

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Fields of papers citing papers by Sebastian Lapuschkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Lapuschkin

Since Specialization

Citations

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

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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