A. Lepschy

876 citations
67 papers · 584 · h-index 14

Impact in

Papers in

A. Lepschy

59 papers receiving 544 citations

Peers

A. Lepschy
Comparison fields: 5 of 85
  • Numerical Analysis 86
  • Statistical and Nonlinear Physics 195
  • Control and Systems Engineering 323
  • Statistics, Probability and Uncertainty 79
  • Computational Theory and Mathematics 103
Replace M. Mansour with:
M. Mansour United States
H. Kwakernaak Netherlands
N. J. Young United Kingdom
Ruey‐Wen Liu United States
Jacques Willems Belgium
Lars Pernebo Sweden
Antonio Ruberti Italy
Yoshito Ohta Japan
Nedialko S. Nedialkov Canada
Jürgen Garloff Germany
A. Lepschy relative to M. Mansour United States M. Mansour's profile →
Citations per field
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M. Mansour · 1×
Citations per year

Countries citing papers authored by A. Lepschy

Since Specialization
Citations

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

Fields of papers citing papers by A. Lepschy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside A. Lepschy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Lepschy Line = papers co-authored together A. Lepschy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197966
2 200447
3 198244
4 197939
5 199230
6 198821
7 199521
8 198317
9 200517
10 200216
11 200416
12 199916
13 199515
14 197813
15 198812
16 199912
17 198711
18 198611
19 199311
20 198811

About A. Lepschy

A. Lepschy is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Signal Processing, Computational Theory and Mathematics and Numerical Analysis, having authored 67 papers that have together received 584 indexed citations. Recurring topics across this work include Control Systems and Identification (17 papers), Model Reduction and Neural Networks (17 papers), Digital Filter Design and Implementation (11 papers), Fault Detection and Control Systems (10 papers), Numerical Methods and Algorithms (9 papers), Advanced Control Systems Optimization (9 papers), Numerical methods for differential equations (8 papers) and Hydraulic and Pneumatic Systems (8 papers). The work is most often cited by research in Numerical Analysis (86 citations), Statistical and Nonlinear Physics (195 citations), Control and Systems Engineering (323 citations), Statistics, Probability and Uncertainty (79 citations) and Computational Theory and Mathematics (103 citations). A. Lepschy has collaborated with scholars based in Italy, Poland and United States. Frequent co-authors include Umberto Viaro, G.A. Mian, Claudio Cobelli, Stefano Miani, Franco Blanchini, Augusto Ferrante, Giorgio Romanin-Jacur, P. Dorato, Michela Redivo‐Zaglia and Alessandro Beghi. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of the Franklin Institute, International Journal of Systems Science, International Journal of Control and Mathematical Biosciences.

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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