L.G. Kraft
- Control and Systems Engineering top 2%
- Artificial Intelligence top 2%
- Mechanical Engineering
- Astronomy and Astrophysics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Wallace T. MillerFilson H. GlanzArkadiusz MiernikRodrigo Suarez-IbarrolaJ. PallottaRalf PetzoldWilliam B. SmithRobert M. Price
- Topics
- Neural Networks and Applications (13 papers)Adaptive Control of Nonlinear Systems (10 papers)Iterative Learning Control Systems (10 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
L.G. Kraft
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Control and Systems Engineering 690
- Artificial Intelligence 540
- Mechanical Engineering 131
- Astronomy and Astrophysics 108
- Electrical and Electronic Engineering 108
Countries citing papers authored by L.G. Kraft
This map shows the geographic impact of L.G. 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 L.G. Kraft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.G. Kraft more than expected).
Fields of papers citing papers by L.G. Kraft
This network shows the impact of papers produced by L.G. 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 L.G. Kraft. The network helps show where L.G. Kraft may publish in the future.
Co-authorship network of co-authors of L.G. Kraft
This figure shows the co-authorship network connecting the top 25 collaborators of L.G. Kraft. A scholar is included among the top collaborators of L.G. Kraft 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 L.G. Kraft. L.G. Kraft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 45 | |
| 11 | 13 | |
| 12 | Stability and weight smoothing in cmac neural networks | 1 |
| 13 | 105 | |
| 14 | 245 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 45 | |
| 18 | 28 | |
| 19 | 30 | |
| 20 | Experimental study of nonlinear devices by correlation methods | 3 |
About L.G. Kraft
L.G. Kraft is a scholar working on Control and Systems Engineering, Urology and Artificial Intelligence, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Adaptive Control of Nonlinear Systems (10 papers) and Iterative Learning Control Systems (10 papers). The work is most often cited by research in Control and Systems Engineering (690 citations), Artificial Intelligence (540 citations) and Astronomy and Astrophysics (108 citations). L.G. Kraft has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Wallace T. Miller, Filson H. Glanz, Arkadiusz Miernik, Rodrigo Suarez-Ibarrola, J. Pallotta, Ralf Petzold, William B. Smith, Robert M. Price, J. V. Evans and Christian Gratzke. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and IEEE Transactions on Automatic Control.
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.