P. Lischinsky
Impact in
- Control and Systems Engineering top 0.2%
- Iterative Learning Control Systems
- Dynamics and Control of Mechanical Systems
- Adaptive Control of Nonlinear Systems
- Mechanical Engineering top 0.5%
- Hydraulic and Pneumatic Systems
- Control Systems in Engineering
- Gear and Bearing Dynamics Analysis
Papers in
-
- Iterative Learning Control Systems 4
- Dynamics and Control of Mechanical Systems 4
- Adaptive Control of Nonlinear Systems 2
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- Hydraulic and Pneumatic Systems 5
- Tribology and Lubrication Engineering 1
- Gear and Bearing Dynamics Analysis 1
- Co-authors
- Carlos Canudas de Wit (4 shared papers)Henrik Olsson (3 shared papers)Karl Johan Åström (3 shared papers)Magnus Gäfvert (1 shared paper)Guillaume Morel (2 shared papers)
In The Last Decade
P. Lischinsky
7 papers receiving 4.3k citations
P. Lischinsky's Hit Papers
Peers
Comparison fields: 5 of 95
- Control and Systems Engineering 3.4k
- Mechanical Engineering 2.9k
- Automotive Engineering 644
- Civil and Structural Engineering 540
- Mechanics of Materials 465
Countries citing papers authored by P. Lischinsky
This map shows the geographic impact of P. Lischinsky'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 P. Lischinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Lischinsky more than expected).
Fields of papers citing papers by P. Lischinsky
This network shows the impact of papers produced by P. Lischinsky. 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 P. Lischinsky. The network helps show where P. Lischinsky may publish in the future.
Co-authors
The 5 scholars most cited alongside P. Lischinsky, 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 | A new model for control of systems with friction Hit paper breakdown → | 1995 | 2809 |
| 2 | Friction Models and Friction Compensation Hit paper breakdown → | 1998 | 1175 |
| 3 | 1997 | 351 | |
| 4 | 1999 | 162 | |
| 5 | 1993 | 85 | |
| 6 | 1996 | 36 | |
| 7 | 2002 | 10 |
About P. Lischinsky
P. Lischinsky is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Electrical and Electronic Engineering and Infectious Diseases, having authored 7 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (5 papers), Iterative Learning Control Systems (4 papers), Dynamics and Control of Mechanical Systems (4 papers), Adaptive Control of Nonlinear Systems (2 papers), Tribology and Lubrication Engineering (1 paper), Sensorless Control of Electric Motors (1 paper), Adhesion, Friction, and Surface Interactions (1 paper) and Gear and Bearing Dynamics Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (3.4k citations), Mechanical Engineering (2.9k citations), Automotive Engineering (644 citations), Civil and Structural Engineering (540 citations) and Mechanics of Materials (465 citations). P. Lischinsky has collaborated with scholars based in France, Sweden and Venezuela. Frequent co-authors include Carlos Canudas de Wit, Henrik Olsson, Karl Johan Åström, Magnus Gäfvert and Guillaume Morel. Their work appears in journals such as International Journal of Adaptive Control and Signal Processing, IEEE Control Systems, European Journal of Control, IEEE Transactions on Automatic Control and IFAC Proceedings Volumes.
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.