Mercator Institute for China Studies
Impact in
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- Fault Detection and Control Systems
- Traffic control and management
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- Transportation Planning and Optimization
Papers in
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- Speech and Audio Processing 15
- Top scholars
- P.M. FrankRüdiger SchultzDietrich E. WolfGerhard RigollHeinz J. FissanAlex B. GershmanMohammad Gharavi-AlkhansariFrank Einar Kruis
- Journals
- Macromolecular Symposia (8 papers)Phase Transitions (7 papers)Journal of Aerosol Science (7 papers)Journal of Applied Probability (6 papers)Materials Research Innovations (6 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Mercator Institute for China Studies
405 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 199
- Control and Systems Engineering 1.3k
- Transportation 290
- Signal Processing 375
- Computer Vision and Pattern Recognition 664
- Electronic, Optical and Magnetic Materials 526
Countries citing scholars working at Mercator Institute for China Studies
This map shows the geographic impact of research produced by authors working at Mercator Institute for China Studies. 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 Mercator Institute for China Studies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercator Institute for China Studies more than expected).
Fields of papers published by authors at Mercator Institute for China Studies
This network shows the impact of papers affiliated with Mercator Institute for China Studies 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 Mercator Institute for China Studies at the time of their publication.
About Mercator Institute for China Studies
In recent decades, authors affiliated with Mercator Institute for China Studies have published 456 papers, which have received a total of 7.6k indexed citations . Scholars at this organization have produced 25 papers in Signal Processing, 58 papers in Atomic and Molecular Physics, and Optics, 39 papers in Computer Vision and Pattern Recognition, 100 papers in Electrical and Electronic Engineering and 20 papers in Condensed Matter Physics on the topics of Photonic and Optical Devices (28 papers), Speech Recognition and Synthesis (26 papers), Natural Language Processing Techniques (17 papers), Handwritten Text Recognition Techniques (16 papers), Speech and Audio Processing (15 papers), Advanced Photonic Communication Systems (14 papers), Microwave Engineering and Waveguides (13 papers) and Neural Networks and Applications (13 papers). Their work is cited by papers focused on Control and Systems Engineering (1.3k citations), Transportation (290 citations), Signal Processing (375 citations), Computer Vision and Pattern Recognition (664 citations) and Electronic, Optical and Magnetic Materials (526 citations). Authors at Mercator Institute for China Studies collaborate with scholars in Germany, United States and Japan and have published in prestigious journals including Macromolecular Symposia, Phase Transitions, Journal of Aerosol Science, Journal of Applied Probability and Materials Research Innovations. Some of Mercator Institute for China Studies's most productive authors include P.M. Frank, Rüdiger Schultz, Dietrich E. Wolf, Gerhard Rigoll, Heinz J. Fissan, Alex B. Gershman, Mohammad Gharavi-Alkhansari, Frank Einar Kruis, Michael Schreckenberg and Achim Bachem.
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.