Daniel Kraft
Impact in
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- Mobile Ad Hoc Networks
- Security in Wireless Sensor Networks
- Opportunistic and Delay-Tolerant 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
- Co-authors
- Marc Bechler (2 shared papers)Lars Wolf (2 shared papers)Hans‐Joachim Hof (2 shared papers)Günter Schäfer (1 shared paper)Anett Schülke (3 shared papers)W. Plessas (1 shared paper)Stephen L. Keeling (1 shared paper)Michael Hintermüller (1 shared paper)
In The Last Decade
Daniel Kraft
17 papers receiving 365 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 223
- Information Systems 198
- Management Information Systems 28
- Artificial Intelligence 94
- Computer Vision and Pattern Recognition 31
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 | 196 | |
| 2 | 2005 | 135 | |
| 3 | 2020 | 13 | |
| 4 | 2015 | 10 | |
| 5 | 2016 | 7 | |
| 6 | 2015 | 7 | |
| 7 | 2004 | 7 | |
| 8 | 2011 | 5 | |
| 9 | 2009 | 5 | |
| 10 | 2014 | 5 | |
| 11 | 2016 | 4 | |
| 12 | 2009 | 3 | |
| 13 | 2009 | 2 | |
| 14 | 2008 | 2 | |
| 15 | Stochastic Variational Approaches to Non-Hermitian Quantum-Mechanical Problems | 2013 | 2 |
| 16 | 2016 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2017 | 1 |
About Daniel Kraft
Daniel Kraft is a scholar working on Computational Mechanics, Computer Networks and Communications, Civil and Structural Engineering, Information Systems and Sociology and Political Science, having authored 18 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (6 papers), Topology Optimization in Engineering (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Computational Geometry and Mesh Generation (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Mobile Ad Hoc Networks (3 papers), Blockchain Technology Applications and Security (2 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Computer Networks and Communications (223 citations), Information Systems (198 citations), Management Information Systems (28 citations), Artificial Intelligence (94 citations) and Computer Vision and Pattern Recognition (31 citations). Daniel Kraft has collaborated with scholars based in Austria, Germany and Japan. Frequent co-authors include Marc Bechler, Lars Wolf, Hans‐Joachim Hof, Günter Schäfer, Anett Schülke, W. Plessas, Stephen L. Keeling, Michael Hintermüller, Antoine Laurain and Florian Knöll. Their work appears in journals such as Applied Mathematics and Computation, Optimization methods & software, Journal of Geometric Analysis, Inverse Problems in Science and Engineering 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.