Microsoft (Germany)

9.8k citations
270 papers ·

Impact in

Papers in

Microsoft (Germany)

247 papers receiving 9.3k citations

Peers

Microsoft (Germany)
Comparison fields: 5 of 198
  • Computer Vision and Pattern Recognition 4.8k
  • Human-Computer Interaction 637
  • Computer Graphics and Computer-Aided Design 364
  • Artificial Intelligence 3.1k
  • Media Technology 602
Replace Technicolor (Germany) with:
Technicolor (Germany) Germany
Walt Disney (Switzerland) Switzerland
Stuttgart Media University Germany
Leibniz Supercomputing Centre Germany
École Pour l'Informatique et les Techniques Avancées France
Gestione Sistemi per l’Informatica (Italy) Italy
Fraunhofer Institute for Material Flow and Logistics Germany
Centre de Robotique France
Fraunhofer Institute for Software and Systems Engineering Germany
Group Image (Poland) Poland
Microsoft (Germany) relative to Technicolor (Germany) Germany Technicolor (Germany)'s profile →
Citations per field
00.5×10×
Technicolor (Germany) · 1×
Citations per year

Countries citing scholars working at Microsoft (Germany)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Microsoft (Germany). 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 Microsoft (Germany) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Microsoft (Germany) more than expected).

Fields of papers published by authors at Microsoft (Germany)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Microsoft (Germany) 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 Microsoft (Germany) at the time of their publication.

About Microsoft (Germany)

In recent decades, authors affiliated with Microsoft (Germany) have published 270 papers, which have received a total of 9.8k indexed citations . Scholars at this organization have produced 79 papers in Computer Vision and Pattern Recognition, 17 papers in Human-Computer Interaction, 89 papers in Artificial Intelligence, 56 papers in Computer Networks and Communications and 47 papers in Information Systems on the topics of Topic Modeling (35 papers), Natural Language Processing Techniques (31 papers), Multimodal Machine Learning Applications (27 papers), Machine Learning in Materials Science (20 papers), Cloud Computing and Resource Management (16 papers), Context-Aware Activity Recognition Systems (13 papers), Generative Adversarial Networks and Image Synthesis (13 papers) and Domain Adaptation and Few-Shot Learning (13 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (4.8k citations), Human-Computer Interaction (637 citations), Computer Graphics and Computer-Aided Design (364 citations), Artificial Intelligence (3.1k citations) and Media Technology (602 citations). Authors at Microsoft (Germany) collaborate with scholars in Germany, United States and United Kingdom and have published in prestigious journals including Nature Communications, Journal of Chemical Theory and Computation, The Journal of Chemical Physics, The Journal of Physical Chemistry Letters and Proceedings of the VLDB Endowment. Some of Microsoft (Germany)'s most productive authors include Dongdong Chen, Ronald M. Kaplan, Nenghai Yu, Weiming Zhang, Lu Yuan, Jing Liao, Jianmin Bao, Baining Guo, Xiaoyi Dong and Frank Noé.

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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