Rami Mangoubi

1.5k citations
54 papers · 976 indexed · h-index 14
Topics
Fault Detection and Control Systems (14 papers)Target Tracking and Data Fusion in Sensor Networks (8 papers)Control Systems and Identification (8 papers)
Partner nations
United StatesCanadaEgypt

In The Last Decade

Rami Mangoubi

52 papers receiving 933 citations

Peers

Rami Mangoubi
Comparison fields: 5 of 105
  • Control and Systems Engineering 334
  • Civil and Structural Engineering 163
  • Aerospace Engineering 141
  • Artificial Intelligence 116
  • Electrical and Electronic Engineering 106
Replace Thomas Burr with:
Thomas Burr United States
Craig T. Lawrence United States
J. R. Koza United States
Jerome T. Connor United States
Ludolf Erwin Meester Netherlands
Kris De Brabanter United States
Philip D. Wasserman United States
Ting Jin China
Yanbo Zhu China
Laurie Davies Germany
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Citations per field
00.5×4.7×
Thomas Burr · 1×
Citations per year

Countries citing papers authored by Rami Mangoubi

Since Specialization
Citations

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

Fields of papers citing papers by Rami Mangoubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rami Mangoubi

This figure shows the co-authorship network connecting the top 25 collaborators of Rami Mangoubi. A scholar is included among the top collaborators of Rami Mangoubi 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 Rami Mangoubi. Rami Mangoubi 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
2 197
3 7
4 5
5 11
6 7
7 42
8 15
9 5
10 4
11 4
12 1
13 4
14 20
15 4
16 6
17 21
18 1
19 1
20 9

About Rami Mangoubi

Rami Mangoubi is a scholar working on Computational Mathematics, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 54 papers that have together received 976 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (14 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Control Systems and Identification (8 papers). The work is most often cited by research in Control and Systems Engineering (334 citations), Statistics, Probability and Uncertainty (87 citations) and Industrial and Manufacturing Engineering (85 citations). Rami Mangoubi has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include Dennis F.X. Mathaisel, Mukund Desai, Igor Linkov, Alexander A. Ganin, Emanuele Massaro, Jeffrey M. Keisler, Alexander Kott, Mihir Desai, Alexander Gutfraind and M.M.A. Salama. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Signal Processing.

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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