Daniel Tegnered
Impact in
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- Magnetic confinement fusion research
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- Fusion materials and technologies
Papers in
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- Magnetic confinement fusion research 11
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- Machine Fault Diagnosis Techniques 2
- Co-authors
- H. Nordman (8 shared papers)P. Strand (8 shared papers)Jens Lundström (2 shared papers)Thorsteinn S. Rognvaldsson (2 shared papers)M. Oberparleiter (4 shared papers)Reza Khoshkangini (3 shared papers)Luís M. Fazendeiro (2 shared papers)Johan Anderson (2 shared papers)
- Journals
- Nuclear Fusion (4 papers)Physics of Plasmas (2 papers)Plasma Physics and Controlled Fusion (2 papers)Expert Systems with Applications (1 paper)Sensors (1 paper)
- Partner nations
- SwedenUnited KingdomIran
In The Last Decade
Daniel Tegnered
12 papers receiving 340 citations
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 285
- Materials Chemistry 60
- Automotive Engineering 9
- Safety, Risk, Reliability and Quality 8
- Statistical and Nonlinear Physics 7
Countries citing papers authored by Daniel Tegnered
This map shows the geographic impact of Daniel Tegnered'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 Tegnered with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tegnered more than expected).
Fields of papers citing papers by Daniel Tegnered
This network shows the impact of papers produced by Daniel Tegnered. 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 Tegnered. The network helps show where Daniel Tegnered may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel Tegnered, 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 | 2017 | 170 | |
| 2 | 2019 | 94 | |
| 3 | 2019 | 30 | |
| 4 | 2022 | 18 | |
| 5 | 2013 | 13 | |
| 6 | 2017 | 9 | |
| 7 | 2014 | 5 | |
| 8 | 2016 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2016 | 3 | |
| 11 | 2017 | 3 | |
| 12 | Gyrokinetic simulations of transport in pellet fuelled discharges at JET | 2016 | 2 |
| 13 | Particle transport in ion and electron scale turbulence | 2012 | 1 |
| 14 | 2023 | 0 |
About Daniel Tegnered
Daniel Tegnered is a scholar working on Nuclear and High Energy Physics, Control and Systems Engineering, Signal Processing, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 14 papers that have together received 356 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (11 papers), Machine Fault Diagnosis Techniques (2 papers), Traffic Prediction and Management Techniques (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Time Series Analysis and Forecasting (1 paper), Technical Engine Diagnostics and Monitoring (1 paper), Machine Learning and Algorithms (1 paper) and Reliability and Maintenance Optimization (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (285 citations), Materials Chemistry (60 citations), Automotive Engineering (9 citations), Safety, Risk, Reliability and Quality (8 citations) and Statistical and Nonlinear Physics (7 citations). Daniel Tegnered has collaborated with scholars based in Sweden, United Kingdom and Iran. Frequent co-authors include H. Nordman, P. Strand, Jens Lundström, Thorsteinn S. Rognvaldsson, M. Oberparleiter, Reza Khoshkangini, Luís M. Fazendeiro, Johan Anderson, Luca Garzotti and Martin Valovič. Their work appears in journals such as Nuclear Fusion, Physics of Plasmas, Plasma Physics and Controlled Fusion, Expert Systems with Applications and Sensors.
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.