Giampiero Campa

2.1k citations
91 papers · 1.6k indexed · h-index 22
Topics
Control Systems and Identification (38 papers)Fault Detection and Control Systems (33 papers)Adaptive Control of Nonlinear Systems (24 papers)

In The Last Decade

Giampiero Campa

88 papers receiving 1.5k citations

Peers

Giampiero Campa
Comparison fields: 5 of 75
  • Aerospace Engineering 915
  • Control and Systems Engineering 745
  • Computer Vision and Pattern Recognition 390
  • Artificial Intelligence 265
  • Computer Networks and Communications 256
Replace Marcello R. Napolitano with:
Marcello R. Napolitano United States
Juntong Qi China
Brad Seanor United States
Marcello Napolitano United States
Enric Xargay United States
Guillaume Ducard Switzerland
Seungkeun Kim South Korea
Haomiao Huang United States
Jurek Z. Sąsiadek Canada
Jovan Boskovic United States
Giampiero Campa relative to Marcello R. Napolitano United States Marcello R. Napolitano's profile →
Citations per field
00.5×1.5×
Marcello R. Napolitano · 1×
Citations per year

Countries citing papers authored by Giampiero Campa

Since Specialization
Citations

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

Fields of papers citing papers by Giampiero Campa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giampiero Campa

This figure shows the co-authorship network connecting the top 25 collaborators of Giampiero Campa. A scholar is included among the top collaborators of Giampiero Campa 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 Giampiero Campa. Giampiero Campa 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 4
2 26
3 27
4 6
5 19
6 8
7 7
8 28
9 20
10 8
11
Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator.
0
12 12
13 3
14 48
15 17
16 41
17 14
18 1
19 22
20 4

About Giampiero Campa

Giampiero Campa is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Control Systems and Identification (38 papers), Fault Detection and Control Systems (33 papers) and Adaptive Control of Nonlinear Systems (24 papers). The work is most often cited by research in Aerospace Engineering (915 citations), Control and Systems Engineering (745 citations) and Computer Vision and Pattern Recognition (390 citations). Giampiero Campa has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Mario Luca Fravolini, Marcello R. Napolitano, Brad Seanor, Mario Perhinschi, Yu Gu, Marcello Napolitano, Srikanth Gururajan, Mario Innocenti, A. Ficola and Lorenzo Pollini. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Control Systems Technology and IEEE Transactions on Aerospace and Electronic 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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