Shai Arogeti

1.2k citations
71 papers · 881 indexed · h-index 15
Topics
Adaptive Control of Nonlinear Systems (19 papers)Fault Detection and Control Systems (19 papers)Control and Dynamics of Mobile Robots (19 papers)
Partner nations
IsraelSingaporeGermany

In The Last Decade

Shai Arogeti

66 papers receiving 864 citations

Peers

Shai Arogeti
Comparison fields: 5 of 70
  • Control and Systems Engineering 705
  • Automotive Engineering 154
  • Mechanical Engineering 147
  • Computer Vision and Pattern Recognition 94
  • Electrical and Electronic Engineering 94
Replace Jonathan DeCastro with:
Jonathan DeCastro United States
Abbas Chamseddine France
C.M. Astorga‐Zaragoza Mexico
Jean‐Christophe Ponsart France
Damiano Rotondo Spain
Afshin Rahimi Canada
Donghui Pan China
José A. De Doná Australia
John Kaneshige United States
Shai Arogeti relative to Jonathan DeCastro United States Jonathan DeCastro's profile →
Citations per field
00.5×3.9×
Jonathan DeCastro · 1×
Citations per year

Countries citing papers authored by Shai Arogeti

Since Specialization
Citations

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

Fields of papers citing papers by Shai Arogeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shai Arogeti

This figure shows the co-authorship network connecting the top 25 collaborators of Shai Arogeti. A scholar is included among the top collaborators of Shai Arogeti 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 Shai Arogeti. Shai Arogeti 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 1
2 2
3 14
4 4
5 1
6 1
7 7
8 1
9 6
10 3
11 4
12 27
13 57
14 10
15 0
16 58
17 18
18 10
19 45
20 1

About Shai Arogeti

Shai Arogeti is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 881 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (19 papers), Fault Detection and Control Systems (19 papers) and Control and Dynamics of Mobile Robots (19 papers). The work is most often cited by research in Control and Systems Engineering (705 citations), Automotive Engineering (154 citations) and Statistics, Probability and Uncertainty (48 citations). Shai Arogeti has collaborated with scholars based in Israel, Singapore and Germany. Frequent co-authors include Chang Boon Low, Danwei Wang, Amit Ailon, N. Berman, Danwei Wang, Ming Yu, Ming Luo, Reuven Segev, Frank L. Lewis and Xinzheng Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

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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