K. Imhof
- Electrical and Electronic Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Shishir K. MukherjeeS. VirmaniF.F. WuAntonio PirasA. GermondPatrice CaireBernadette DorizziH. Glavitsch
- Topics
- Optimal Power Flow Distribution (3 papers)Image and Signal Denoising Methods (2 papers)Neural Networks and Applications (2 papers)
- Cited by
- Electrical and Electronic EngineeringSafety, Risk, Reliability and QualityManagement Science and Operations Research
- Journals
- IEEE Transactions on Power SystemsIEEE Power Engineering ReviewIEEE Computer Applications in Power
- Partner nations
- SwitzerlandUnited States
In The Last Decade
K. Imhof
10 papers receiving 532 citations
Peers
Comparison fields: 5 of 45
- Electrical and Electronic Engineering 531
- Safety, Risk, Reliability and Quality 80
- Artificial Intelligence 79
- Control and Systems Engineering 78
- Management Science and Operations Research 69
Countries citing papers authored by K. Imhof
This map shows the geographic impact of K. Imhof'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 K. Imhof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Imhof more than expected).
Fields of papers citing papers by K. Imhof
This network shows the impact of papers produced by K. Imhof. 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 K. Imhof. The network helps show where K. Imhof may publish in the future.
Co-authorship network of co-authors of K. Imhof
This figure shows the co-authorship network connecting the top 25 collaborators of K. Imhof. A scholar is included among the top collaborators of K. Imhof 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 K. Imhof. K. Imhof is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Short term electrical load forecasting with artificial neural networks | 29 |
| 2 | 58 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 65 | |
| 6 | 2 | |
| 7 | 196 | |
| 8 | 212 | |
| 9 | 2 | |
| 10 | 3 |
About K. Imhof
K. Imhof is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 10 papers that have together received 579 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (3 papers), Image and Signal Denoising Methods (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (531 citations), Safety, Risk, Reliability and Quality (80 citations) and Management Science and Operations Research (69 citations). K. Imhof has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Shishir K. Mukherjee, S. Virmani, F.F. Wu, Antonio Piras, A. Germond, Patrice Caire, Bernadette Dorizzi and H. Glavitsch. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Power Engineering Review and IEEE Computer Applications in Power.
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.