Berlin Institute for the Foundations of Learning and Data
259 papers
receiving
7.4k citations
Peers
Berlin Institute for the Foundations of Learning and Data
Comparison fields: 5 of 185
Health Informatics169
Artificial Intelligence2k
Materials Chemistry2k
Atomic and Molecular Physics, and Optics833
Computational Theory and Mathematics408
Replace IBM (Italy) with:
IBM (Italy)Italy
Aachen Institute for Advanced Study in Computational Engineering ScienceGermany
Netherlands eScience CenterNetherlands
Leibniz Supercomputing CentreGermany
European Centre for Living TechnologyItaly
Center for Advanced Systems UnderstandingGermany
Life Science ZurichSwitzerland
Elsevier BV (Netherlands)Netherlands
Procter & Gamble (Belgium)Belgium
Gemeente AmsterdamNetherlands
Berlin Institute for the Foundations of Learning and Datarelative toIBM (Italy)ItalyIBM (Italy)'s profile →
Citations per field
00.5×5×10.6×
IBM (Italy) · 1×
×0.9169/192HI
×1.22k/2kAI
×112k/189MC
×1.6833/523AMPO
×0.8408/503CTM
Citations per year
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Countries citing scholars working at Berlin Institute for the Foundations of Learning and Data
Since Specialization
Citations
This map shows the geographic impact of research produced by authors working at Berlin Institute for the Foundations of Learning and Data. 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 papers produced at Berlin Institute for the Foundations of Learning and Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berlin Institute for the Foundations of Learning and Data more than expected).
Fields of papers published by authors at Berlin Institute for the Foundations of Learning and Data
This network shows the impact of papers affiliated with Berlin Institute for the Foundations of Learning and Data at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Berlin Institute for the Foundations of Learning and Data at the time of their publication.
About Berlin Institute for the Foundations of Learning and Data
In recent decades, authors affiliated with Berlin Institute for the Foundations of Learning and Data have published 304 papers, which have received a total of 7.4k indexed citations . Scholars at this organization have produced 104 papers in Artificial Intelligence, 6 papers in Health Informatics, 45 papers in Materials Chemistry, 8 papers in Signal Processing and 1 paper in Space and Planetary Science on the topics of Explainable Artificial Intelligence (XAI) (46 papers), Machine Learning in Materials Science (45 papers), Advanced Chemical Physics Studies (21 papers), AI in cancer detection (15 papers), Advanced Database Systems and Queries (15 papers), Privacy-Preserving Technologies in Data (11 papers), EEG and Brain-Computer Interfaces (10 papers) and Cancer Genomics and Diagnostics (9 papers). Their work is cited by papers focused on Health Informatics (169 citations), Artificial Intelligence (2k citations), Materials Chemistry (2k citations), Atomic and Molecular Physics, and Optics (833 citations) and Computational Theory and Mathematics (408 citations). Authors at Berlin Institute for the Foundations of Learning and Data collaborate with scholars in Germany, South Korea and United States and have published in prestigious journals including The Journal of Chemical Physics, Nature Communications, Proceedings of the VLDB Endowment, Machine Learning Science and Technology and Information Fusion. Some of Berlin Institute for the Foundations of Learning and Data's most productive authors include Klaus- Robert Müller, Wojciech Samek, Kristof T. Schütt, Sebastian Lapuschkin, Michael Gastegger, Grégoire Montavon, Stefan Chmiela, Oliver T. Unke, Huziel E. Sauceda and Christopher J. Anders.
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