Benjamin Schiller
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Multi-Agent Systems and Negotiation
- Advanced Graph Neural Networks
- Information Systems top 10%
- Software Engineering Research
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 5
- Advanced Text Analysis Techniques 2
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- Peer-to-Peer Network Technologies 5
- Caching and Content Delivery 4
- Cooperative Communication and Network Coding 2
- Co-authors
- Iryna Gurevych (6 shared papers)Christian Stab (2 shared papers)Tristan Miller (2 shared papers)Daniil Sorokin (1 shared paper)Andreas Hanselowski (1 shared paper)Zile Li (1 shared paper)Hao Zhang (1 shared paper)Cláudia Schulz (1 shared paper)
- Journals
- TUbilio (Technical University of Darmstadt) (3 papers)Datenbank-Spektrum (1 paper)Summer Computer Simulation Conference (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Benjamin Schiller
14 papers receiving 266 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 242
- Information Systems 87
- Communication 11
- General Social Sciences 4
- Sociology and Political Science 52
Countries citing papers authored by Benjamin Schiller
This map shows the geographic impact of Benjamin Schiller'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 Benjamin Schiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Schiller more than expected).
Fields of papers citing papers by Benjamin Schiller
This network shows the impact of papers produced by Benjamin Schiller. 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 Benjamin Schiller. The network helps show where Benjamin Schiller may publish in the future.
Co-authors
The 23 scholars most cited alongside Benjamin Schiller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2018 | 71 | |
| 3 | 2018 | 52 | |
| 4 | 2010 | 10 | |
| 5 | 2020 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2020 | 5 | |
| 8 | 2014 | 4 | |
| 9 | 2014 | 3 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2022 | 1 |
About Benjamin Schiller
Benjamin Schiller is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 285 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Peer-to-Peer Network Technologies (5 papers), Caching and Content Delivery (4 papers), Advanced Text Analysis Techniques (2 papers), Complex Network Analysis Techniques (2 papers), Cooperative Communication and Network Coding (2 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (242 citations), Information Systems (87 citations), Communication (11 citations), General Social Sciences (4 citations) and Sociology and Political Science (52 citations). Benjamin Schiller has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Iryna Gurevych, Christian Stab, Tristan Miller, Daniil Sorokin, Andreas Hanselowski, Zile Li, Hao Zhang, Cláudia Schulz, Johannes Daxenberger and Steffen Eger. Their work appears in journals such as TUbilio (Technical University of Darmstadt), Datenbank-Spektrum and Summer Computer Simulation Conference.
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.