Daniel Bimschas
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
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- Context-Aware Activity Recognition Systems
Papers in
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- Energy Efficient Wireless Sensor Networks 4
- IoT and Edge/Fog Computing 2
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- Service-Oriented Architecture and Web Services 3
- Co-authors
- Dennis Pfisterer (6 shared papers)Alexander Kröller (4 shared papers)Kay Römer (4 shared papers)Max Pagel (2 shared papers)Richard Mietz (4 shared papers)Oliver Kleine (3 shared papers)Alexandre Passant (2 shared papers)Cuong Truong (2 shared papers)
- Journals
- Communications of the ACM (1 paper)IEEE Communications Magazine (1 paper)PIK - Praxis der Informationsverarbeitung und Kommunikation (1 paper)Technische Universität Berlin – Universitätsbibliothek (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Daniel Bimschas
6 papers receiving 330 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 263
- Computer Vision and Pattern Recognition 102
- Computer Science Applications 27
- Information Systems 93
- Signal Processing 26
Countries citing papers authored by Daniel Bimschas
This map shows the geographic impact of Daniel Bimschas'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 Daniel Bimschas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bimschas more than expected).
Fields of papers citing papers by Daniel Bimschas
This network shows the impact of papers produced by Daniel Bimschas. 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 Daniel Bimschas. The network helps show where Daniel Bimschas may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bimschas, 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 | 2011 | 209 | |
| 2 | 2011 | 65 | |
| 3 | 2011 | 29 | |
| 4 | 2010 | 22 | |
| 5 | 2013 | 12 | |
| 6 | 2014 | 2 | |
| 7 | 2024 | 0 |
About Daniel Bimschas
Daniel Bimschas is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 7 papers that have together received 339 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (4 papers), Service-Oriented Architecture and Web Services (3 papers), Semantic Web and Ontologies (2 papers), IoT and Edge/Fog Computing (2 papers), Energy Harvesting in Wireless Networks (2 papers), Context-Aware Activity Recognition Systems (2 papers), Scientific Computing and Data Management (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Computer Networks and Communications (263 citations), Computer Vision and Pattern Recognition (102 citations), Computer Science Applications (27 citations), Information Systems (93 citations) and Signal Processing (26 citations). Daniel Bimschas has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Dennis Pfisterer, Alexander Kröller, Kay Römer, Max Pagel, Richard Mietz, Oliver Kleine, Alexandre Passant, Cuong Truong, Marcel Karnstedt and Myriam Leggieri. Their work appears in journals such as Communications of the ACM, IEEE Communications Magazine, PIK - Praxis der Informationsverarbeitung und Kommunikation and Technische Universität Berlin – Universitätsbibliothek.
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.