Antonio Ruberti

721 citations
23 papers · 468 indexed · h-index 8

Antonio Ruberti

21 papers receiving 410 citations

Peers

Antonio Ruberti
Comparison fields: 5 of 68
  • Control and Systems Engineering 317
  • Numerical Analysis 61
  • Statistical and Nonlinear Physics 92
  • Computational Mathematics 3
  • Computational Theory and Mathematics 76
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Countries citing papers authored by Antonio Ruberti

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Ruberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Antonio Ruberti, 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 Antonio Ruberti Line = papers co-authored together Antonio Ruberti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2
RESEARCH ARTICLE Symbolic models for nonlinear control systems aected by disturbances
20121
3 19921
4
Recent advances in communication and control theory
198714
5 19854
6 1984108
7 19822
8 19781
9 19781
10 19766
11
Variable structure systems with application to economics and biology : proceedings of the Second US-Italy Seminar on Variable Structure Systems, May 1974
19751
12 1974178
13 19743
14 197311
15
Theory and applications of variable structure systems
197259
16 197225
17 19721
18 19713
19 196925
20 19684

About Antonio Ruberti

Antonio Ruberti is a scholar working on Control and Systems Engineering, Numerical Analysis, Computational Theory and Mathematics, Geometry and Topology and Food Science, having authored 23 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (4 papers), Control and Stability of Dynamical Systems (4 papers), Stability and Control of Uncertain Systems (3 papers), Control Systems and Identification (3 papers), Numerical methods for differential equations (2 papers), Extremum Seeking Control Systems (2 papers), Matrix Theory and Algorithms (2 papers) and Neural Networks and Applications (1 paper). The work is most often cited by research in Control and Systems Engineering (317 citations), Numerical Analysis (61 citations), Statistical and Nonlinear Physics (92 citations), Computational Mathematics (3 citations) and Computational Theory and Mathematics (76 citations). Antonio Ruberti has collaborated with scholars based in Italy and United States. Frequent co-authors include Alberto Isidori, Paolo D’Alessandro, R.R. Mohler, Carlo Bruni, Andrew J. Viterbi, G. I. Marchuk, R. E. Kalman, Rena M. Conti, Roberto Conti and C. Bruni. Their work appears in journals such as Journal of the Franklin Institute, IEEE Transactions on Automatic Control, Systems & Control Letters, Journal of the American Statistical Association and IEEE Control Systems.

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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