Roberto Tempo

177 papers receiving 5.6k citations

Hit Papers

A tutorial on modeling and analysis of dynamic social net...20172026202020232017100200300

Peers

Roberto Tempo
Comparison fields: 5 of 129
  • Control and Systems Engineering 3.1k
  • Statistical and Nonlinear Physics 1.3k
  • Computer Networks and Communications 1.0k
  • Statistics, Probability and Uncertainty 858
  • Computational Theory and Mathematics 707
Replace Vivek S. Borkar with:
Vivek S. Borkar India
Vikram Krishnamurthy Canada
John S. Baras United States
Jeff S. Shamma United States
B. Ross Barmish United States
Peter E. Caines Canada
Christophe Prieur France
G. George Yin United States
K.S. Tang Hong Kong
Haitao Li China
Roberto Tempo relative to Vivek S. Borkar India Vivek S. Borkar's profile →
Citations per field
00.5×8.7×
Vivek S. Borkar · 1×
Citations per year

Countries citing papers authored by Roberto Tempo

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Tempo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Tempo

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Tempo. A scholar is included among the top collaborators of Roberto Tempo 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 Roberto Tempo. Roberto Tempo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 183
2
A tutorial on modeling and analysis of dynamic social networks. Part Ibreakdown →
309
3 6
4 31
5
Autopilot for Small Unmanned Aerial Vehicles
2
6
The Sample Complexity of Randomized Methods for Analysis and Design of Uncertain Systems
3
7 51
8 10
9
A robust stability methodology for track following servo systems
1
10 10
11
Anchored consensus in multiagent systems
1
12 107
13
Monte Carlo and Las Vegas randomized algorithms for systems and control: An introduction
1
14 33
15 14
16 1
17 50
18 33
19 1
20
Stability of Classification in Sequential Allocation Analysis
1

About Roberto Tempo

Roberto Tempo is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Numerical Analysis, having authored 190 papers that have together received 5.8k indexed citations. Recurring topics across this work include Control Systems and Identification (73 papers), Fault Detection and Control Systems (47 papers) and Stability and Control of Uncertain Systems (37 papers). The work is most often cited by research in Control and Systems Engineering (3.1k citations), Statistics, Probability and Uncertainty (858 citations) and Statistical and Nonlinear Physics (1.3k citations). Roberto Tempo has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Fabrizio Dabbene, Anton V. Proskurnikov, Giuseppe C. Calafiore, Hideaki Ishii, Er‐Wei Bai, Noah E. Friedkin, Sergei Parsegov, M. Milanese, B. Ross Barmish and Teodoro Álamo. Their work appears in journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026