Sönke Schmidt

22 papers receiving 285 citations

Peers

Sönke Schmidt
Comparison fields: 5 of 37
  • Artificial Intelligence 174
  • Algebra and Number Theory 9
  • Hepatology 12
  • Biomedical Engineering 39
  • Electrical and Electronic Engineering 49
Replace Wang Chen with:
Wang Chen China
Sovuthy Cheab Malaysia
Gregory L. Creech United States
Farhad Arpanaei Spain
Yingda Chen China
Yubin Zang China
Armin Mehrabian United States
Qizhu Li China
Shurui Li United States
Sönke Schmidt relative to Wang Chen China Wang Chen's profile →
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Citations per year

Countries citing papers authored by Sönke Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Sönke Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sönke Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sönke Schmidt Line = papers co-authored together Sönke Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199983
2 200079
3 201828
4 201917
5 201914
6 201412
7 19998
8 20178
9 20017
10
Pre-Interpretation of Potential Fields by the Aid of Curvature Attributes
20037
11 20176
12 20196
13 20005
14 20074
15 20164
16 20194
17 20072
18 20082
19 20172
20 20141

About Sönke Schmidt

Sönke Schmidt is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biotechnology, Industrial and Manufacturing Engineering and Geochemistry and Petrology, having authored 23 papers that have together received 301 indexed citations. Recurring topics across this work include Microwave and Dielectric Measurement Techniques (5 papers), Coding theory and cryptography (5 papers), Microbial Inactivation Methods (2 papers), Manufacturing Process and Optimization (2 papers), Microwave Engineering and Waveguides (2 papers), Hydrogen Storage and Materials (2 papers), Microwave Imaging and Scattering Analysis (2 papers) and Systems Engineering Methodologies and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (174 citations), Algebra and Number Theory (9 citations), Hepatology (12 citations), Biomedical Engineering (39 citations) and Electrical and Electronic Engineering (49 citations). Sönke Schmidt has collaborated with scholars based in Germany, United States and Estonia. Frequent co-authors include Marcus Greferath, Rolf Jakoby, Christian Schuster, Frank Hübner, Babak Bazrafshan, Thomas Joseph Vogl, Hans‐Jürgen Götze, Iwan Duursma, Matthias Nickel and Roland Reese. Their work appears in journals such as IEEE Access, Journal of Combinatorial Theory Series A, IEEE Transactions on Information Theory, Surface Science and Journal of Alloys and Compounds.

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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