Sebastian Ebert
Impact in
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- Silicon and Solar Cell Technologies
- Thin-Film Transistor Technologies
- Semiconductor materials and devices
- Integrated Circuits and Semiconductor Failure Analysis
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Topic Modeling 6
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 4
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- Service-Oriented Architecture and Web Services 5
- Co-authors
- Axel Herguth (6 shared papers)Svenja Wilking (6 shared papers)Giso Hahn (6 shared papers)Hinrich Schütze (5 shared papers)Wenpeng Yin (1 shared paper)Ngoc Thang Vu (3 shared papers)Ulrich Heute (1 shared paper)Jasmijn Bastings (1 shared paper)
- Journals
- Pattern Recognition Letters (1 paper)Solar Energy Materials and Solar Cells (1 paper)Journal of Applied Physics (1 paper)Innovations in Systems and Software Engineering (2 papers)Lecture notes in computer science (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Sebastian Ebert
28 papers receiving 357 citations
Peers
Comparison fields: 5 of 53
- Electrical and Electronic Engineering 222
- Artificial Intelligence 106
- Renewable Energy, Sustainability and the Environment 45
- Atomic and Molecular Physics, and Optics 82
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Sebastian Ebert
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).
Fields of papers citing papers by Sebastian Ebert
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.
Co-authors
The 21 scholars most cited alongside Sebastian Ebert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 108 | |
| 2 | 2013 | 75 | |
| 3 | 2016 | 62 | |
| 4 | 2014 | 26 | |
| 5 | 2022 | 19 | |
| 6 | 2015 | 12 | |
| 7 | 1983 | 10 | |
| 8 | 2016 | 8 | |
| 9 | 2015 | 8 | |
| 10 | CIS-positive: Combining Convolutional Neural Networks and SVMs for Sentiment Analysis in Twitter | 2015 | 6 |
| 11 | 2010 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2016 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2009 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2012 | 2 |
About Sebastian Ebert
Sebastian Ebert is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Mechanical Engineering and Electrical and Electronic Engineering, having authored 29 papers that have together received 373 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Service-Oriented Architecture and Web Services (5 papers), Natural Language Processing Techniques (5 papers), Model-Driven Software Engineering Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Silicon and Solar Cell Technologies (4 papers), Petri Nets in System Modeling (3 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (222 citations), Artificial Intelligence (106 citations), Renewable Energy, Sustainability and the Environment (45 citations), Atomic and Molecular Physics, and Optics (82 citations) and Computer Vision and Pattern Recognition (40 citations). Sebastian Ebert has collaborated with scholars based in Germany and United States. Frequent co-authors include Axel Herguth, Svenja Wilking, Giso Hahn, Hinrich Schütze, Wenpeng Yin, Ngoc Thang Vu, Ulrich Heute, Jasmijn Bastings, Katja Filippova and Polina Zablotskaia. Their work appears in journals such as Pattern Recognition Letters, Solar Energy Materials and Solar Cells, Journal of Applied Physics, Innovations in Systems and Software Engineering and Lecture notes in computer science.
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.