Benjamin Schiller
Impact in
- Information Systems top 10%
- Spam and Phishing Detection
- Cloud Computing and Resource Management
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- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
Papers in
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- Peer-to-Peer Network Technologies 3
- Software System Performance and Reliability 2
- Opportunistic and Delay-Tolerant Networks 2
- Caching and Content Delivery 2
- Distributed systems and fault tolerance 2
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- Social Media and Politics 2
- Co-authors
- Thorsten StrufeOliver HinzErwin AitenbichlerBernhard MitschangAndreas HanselowskiIryna GurevychChristian M. MeyerAndreas Höfer
- Journals
- Algorithms for Molecular Biology (1 paper)Applied Network Science (1 paper)Journal of Computational Chemistry (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
In The Last Decade
Benjamin Schiller
12 papers receiving 116 citations
Peers
Comparison fields: 5 of 37
- Information Systems 51
- Computer Networks and Communications 51
- Artificial Intelligence 46
- Communication 9
- Sociology and Political Science 45
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 14 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 | 3 | |
| 2 | 2018 | 4 | |
| 3 | 2018 | 31 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 8 | |
| 6 | 2016 | 1 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 2 | |
| 9 | 2015 | 22 | |
| 10 | 2011 | 21 | |
| 11 | 2011 | 6 | |
| 12 | Towards a distributed crisis response communication system | 2009 | 21 |
About Benjamin Schiller
Benjamin Schiller is a scholar working on Computer Networks and Communications, Communication, Statistical and Nonlinear Physics, Hardware and Architecture and Information Systems, having authored 12 papers that have together received 125 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Social Media and Politics (2 papers), Graph Theory and Algorithms (2 papers), Cloud Computing and Resource Management (2 papers), Software System Performance and Reliability (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Caching and Content Delivery (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Information Systems (51 citations), Computer Networks and Communications (51 citations), Artificial Intelligence (46 citations), Communication (9 citations) and Sociology and Political Science (45 citations). Benjamin Schiller has collaborated with scholars based in Germany, India and Canada. Frequent co-authors include Thorsten Strufe, Oliver Hinz, Erwin Aitenbichler, Bernhard Mitschang, Andreas Hanselowski, Iryna Gurevych, Christian M. Meyer, Andreas Höfer, Jerónimo Castrillón and Stefanie Roos. Their work appears in journals such as Algorithms for Molecular Biology, Applied Network Science, Journal of Computational Chemistry and TUbilio (Technical University of Darmstadt).
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.