Tarıq Samad

86 papers receiving 2.6k citations

Peers

Tarıq Samad
Comparison fields: 5 of 144
  • Control and Systems Engineering 1.2k
  • Electrical and Electronic Engineering 875
  • Artificial Intelligence 636
  • Computer Networks and Communications 338
  • Aerospace Engineering 254
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Jing Wang China
Lei Yang United States
Dimiter Driankov Sweden
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Piero Baraldi Italy
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Tarıq Samad relative to Jing Wang China Jing Wang's profile →
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Countries citing papers authored by Tarıq Samad

Since Specialization
Citations

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

Fields of papers citing papers by Tarıq Samad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarıq Samad

This figure shows the co-authorship network connecting the top 25 collaborators of Tarıq Samad. A scholar is included among the top collaborators of Tarıq Samad 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 Tarıq Samad. Tarıq Samad 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 7
2 10
3 157
4 138
5
Generalization bounds for weighted binary classification with applications to statistical verification
1
6 64
7 17
8 11
9
Introduction: complexity management for automation and control
1
10
Sensors in control systems
4
11
System health management for complex systems
1
12
Automation, control and complexity: an integrated approach
27
13
Active multimodeling for autonomous systems
3
14
Imputation of missing data using machine learning techniques
73
15 15
16 2
17 23
18
Neural networks; A tutorial for the power industry
1
19
Towards the genetic synthesis of neural network
154
20
Designing Application-Specific Neural Networks Using the Genetic Algorithm
60

About Tarıq Samad

Tarıq Samad is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 95 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Fault Detection and Control Systems (16 papers) and Advanced Control Systems Optimization (15 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Artificial Intelligence (636 citations) and Energy Engineering and Power Technology (49 citations). Tarıq Samad has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Steven A. Harp, John Baillieul, Petr Stluka, Anuradha M. Annaswamy, Kamakshi Lakshminarayan, D.N. Godbole, Sila Kiliccote, Aloke Guha, John S. Bay and Ian A. Hiskens. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Smart Grid.

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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