Sebastian Ebert

14 papers and 276 indexed citations i.

About

Sebastian Ebert is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Sebastian Ebert has authored 14 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Materials Chemistry. Recurrent topics in Sebastian Ebert’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Silicon and Solar Cell Technologies (3 papers). Sebastian Ebert is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Silicon and Solar Cell Technologies (3 papers). Sebastian Ebert collaborates with scholars based in Germany and United States. Sebastian Ebert's co-authors include Svenja Wilking, Axel Herguth, Giso Hahn, Hinrich Schütze, Wenpeng Yin, Ulrich Heute, Katja Filippova, Ngoc Thang Vu, Jasmijn Bastings and Polina Zablotskaia and has published in prestigious journals such as Journal of Applied Physics, Solar Energy Materials and Solar Cells and Pattern Recognition Letters.

In The Last Decade

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

Fields of papers citing papers by Sebastian Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sebastian Ebert

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025