Magnus Fast

755 total citations
11 papers, 584 citations indexed

About

Magnus Fast is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Magnus Fast has authored 11 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 4 papers in Mechanics of Materials. Recurrent topics in Magnus Fast's work include Neural Networks and Applications (6 papers), Fault Detection and Control Systems (5 papers) and Technical Engine Diagnostics and Monitoring (3 papers). Magnus Fast is often cited by papers focused on Neural Networks and Applications (6 papers), Fault Detection and Control Systems (5 papers) and Technical Engine Diagnostics and Monitoring (3 papers). Magnus Fast collaborates with scholars based in Sweden, India and Norway. Magnus Fast's co-authors include Mohsen Assadi, S. K. De, Thomas Palmé, Jaka Smrekar, Marcus Thern, Magnus Genrup and Peter Breuhaus and has published in prestigious journals such as Applied Energy, Energy and Neural Computing and Applications.

In The Last Decade

Magnus Fast

11 papers receiving 551 citations

Peers

Magnus Fast
Comparison fields: 5 of 60
  • Control and Systems Engineering 286
  • Mechanical Engineering 172
  • Electrical and Electronic Engineering 145
  • Biomedical Engineering 100
  • Artificial Intelligence 96
Replace Shilie Weng with:
Shilie Weng China
Yuguang Niu China
Mohammadreza Tahan Malaysia
Tingting Yang China
Sergey Ushakov Norway
Mingliang Bai China
Yujiong Gu China
Ka In Wong Macao
Liang Lu China
Yongxiang Zhang China
Shilie Weng China View profile →
Citations per field, relative to Magnus Fast
Magnus Fast · 1×
Citations per year, relative to Magnus Fast
Magnus Fast · 1×

Countries citing papers authored by Magnus Fast

Since Specialization
Citations

This map shows the geographic impact of Magnus Fast'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 Magnus Fast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magnus Fast more than expected).

Fields of papers citing papers by Magnus Fast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magnus Fast. 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 Magnus Fast. The network helps show where Magnus Fast may publish in the future.

Co-authorship network of co-authors of Magnus Fast

This figure shows the co-authorship network connecting the top 25 collaborators of Magnus Fast. A scholar is included among the top collaborators of Magnus Fast based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Magnus Fast. Magnus Fast is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 67
2 57
3 6
4 9
5 105
6 118
7 24
8 121
9
Application of artificial neural network to the condition monitoring and diagnosis of a CHP plant
3
10 73
11
Artificial Neural Networks for Gas Turbine Modeling and Sensor Validation
1

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.

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