Daniel Kraft
Impact in
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- Mobile Ad Hoc Networks
- Opportunistic and Delay-Tolerant Networks
- Security in Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
- Caching and Content Delivery
- Information Systems top 5%
- Blockchain Technology Applications and Security
Papers in
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- Advanced Numerical Analysis Techniques 6
- Advanced Numerical Methods in Computational Mathematics 3
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- Opportunistic and Delay-Tolerant Networks 3
- Mobile Ad Hoc Networks 3
- Security in Wireless Sensor Networks 2
- Co-authors
- Lars Christian Wolf (2 shared papers)Hans‐Joachim Hof (2 shared papers)Marc Bechler (2 shared papers)Günter Schäfer (1 shared paper)Anett Schülke (3 shared papers)Florian Johannes Knoll (1 shared paper)W. Plessas (1 shared paper)Michael Hintermüller (1 shared paper)
In The Last Decade
Daniel Kraft
17 papers receiving 430 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 254
- Information Systems 234
- Management Information Systems 37
- Artificial Intelligence 103
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Daniel Kraft
This map shows the geographic impact of Daniel Kraft'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 Kraft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kraft more than expected).
Fields of papers citing papers by Daniel Kraft
This network shows the impact of papers produced by Daniel Kraft. 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 Kraft. The network helps show where Daniel Kraft may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Kraft, 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 | 2015 | 233 | |
| 2 | 2005 | 147 | |
| 3 | 2020 | 16 | |
| 4 | 2015 | 11 | |
| 5 | 2004 | 9 | |
| 6 | 2016 | 9 | |
| 7 | 2015 | 9 | |
| 8 | 2011 | 5 | |
| 9 | 2009 | 5 | |
| 10 | 2014 | 5 | |
| 11 | 2016 | 5 | |
| 12 | 2009 | 3 | |
| 13 | 2009 | 2 | |
| 14 | 2008 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2016 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 1 |
About Daniel Kraft
Daniel Kraft is a scholar working on Computational Mechanics, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Information Systems and Civil and Structural Engineering, having authored 18 papers that have together received 466 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (6 papers), Topology Optimization in Engineering (4 papers), Computational Geometry and Mesh Generation (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Mobile Ad Hoc Networks (3 papers), Security in Wireless Sensor Networks (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Computer Networks and Communications (254 citations), Information Systems (234 citations), Management Information Systems (37 citations), Artificial Intelligence (103 citations) and Computer Vision and Pattern Recognition (42 citations). Daniel Kraft has collaborated with scholars based in Austria, Germany and Japan. Frequent co-authors include Lars Christian Wolf, Hans‐Joachim Hof, Marc Bechler, Günter Schäfer, Anett Schülke, Florian Johannes Knoll, W. Plessas, Michael Hintermüller, Antoine Laurain and Stephen L. Keeling. Their work appears in journals such as Optimization methods & software, Applied Mathematics and Computation, Inverse Problems in Science and Engineering, Journal of Geometric Analysis and Interfaces and Free Boundaries Mathematical Analysis Computation and Applications.
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.