Sebastian Ebert

493 citations
24 papers · 347 · h-index 9

Impact in

Papers in

    • Topic Modeling 6
    • Natural Language Processing Techniques 4
    • Sentiment Analysis and Opinion Mining 4
    • Advanced Text Analysis Techniques 3
    • Service-Oriented Architecture and Web Services 5

Sebastian Ebert

22 papers receiving 328 citations

Peers

Sebastian Ebert
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 218
  • Artificial Intelligence 96
  • Renewable Energy, Sustainability and the Environment 44
  • Atomic and Molecular Physics, and Optics 82
  • Computer Vision and Pattern Recognition 34
Replace Florian Buchholz with:
Florian Buchholz Germany
Wenjie Li China
Helen Li United States
Yu Tao China
Y. Tu China
Li Lao United States
Md Samiul Alam Canada
Gyoung S. Na South Korea
S. P. Majumder Bangladesh
Sebastian Ebert relative to Florian Buchholz Germany Florian Buchholz's profile →
Citations per field
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Citations per year

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).

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.

Co-authors

The 17 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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014106
2 201373
3 201657
4 201426
5 202216
6 201512
7 198310
8 20158
9 20168
10
CIS-positive: Combining Convolutional Neural Networks and SVMs for Sentiment Analysis in Twitter
20156
11 20164
12 20093
13 20103
14 20153
15 20242
16 20232
17 20132
18 20222
19
Detecting Documents with Complaint Character.
20131
20 20121

About Sebastian Ebert

Sebastian Ebert is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Software, having authored 24 papers that have together received 347 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Service-Oriented Architecture and Web Services (5 papers), Natural Language Processing Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Silicon and Solar Cell Technologies (4 papers), Model-Driven Software Engineering Techniques (4 papers), Petri Nets in System Modeling (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (218 citations), Artificial Intelligence (96 citations), Renewable Energy, Sustainability and the Environment (44 citations), Atomic and Molecular Physics, and Optics (82 citations) and Computer Vision and Pattern Recognition (34 citations). Sebastian Ebert has collaborated with scholars based in Germany and United States. Frequent co-authors include Svenja Wilking, Giso Hahn, Axel Herguth, Hinrich Schütze, Wenpeng Yin, Ngoc Thang Vu, Ulrich Heute, Polina Zablotskaia, Jasmijn Bastings and Katja Filippova. Their work appears in journals such as Solar Energy Materials and Solar Cells, Pattern Recognition Letters, Journal of Applied Physics, Innovations in Systems and Software Engineering and LWA.

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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