Abhay K. Singh
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization 4
- Control Systems and Identification 4
- Fault Detection and Control Systems 3
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- Model Reduction and Neural Networks 3
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- Metal Forming Simulation Techniques 5
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- Fatigue and fracture mechanics 5
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- Advanced Fiber Optic Sensors 3
- Photonic and Optical Devices 3
- Co-authors
- Juergen HahnHaiying HuangYupeng ZhuMing HanAditi ChattopadhyayNam PhanJaret C. RiddickAsha Hall
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyStatistical and Nonlinear Physics
- Journals
- Industrial & Engineering Chemistry Research (3 papers)Biotechnology and Bioengineering (1 paper)Smart Materials and Structures (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Abhay K. Singh
26 papers receiving 406 citations
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 150
- Statistics, Probability and Uncertainty 42
- Statistical and Nonlinear Physics 44
- Computational Mathematics 2
- Computational Theory and Mathematics 33
Countries citing papers authored by Abhay K. Singh
This map shows the geographic impact of Abhay K. Singh'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 Abhay K. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhay K. Singh more than expected).
Fields of papers citing papers by Abhay K. Singh
This network shows the impact of papers produced by Abhay K. Singh. 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 Abhay K. Singh. The network helps show where Abhay K. Singh may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Abhay K. Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 11 | |
| 5 | 2017 | 1 | |
| 6 | 2017 | 40 | |
| 7 | 2017 | 19 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 2 | |
| 10 | 2014 | 27 | |
| 11 | A Case Study of Representing Signal Transduction in Liver Cells as a Feedback Control Problem. | 2007 | 1 |
| 12 | 2007 | 2 | |
| 13 | 2007 | 10 | |
| 14 | 2006 | 63 | |
| 15 | Sensor network and soft sensor design for stable nonlinear dynamic systems | 2006 | 2 |
| 16 | 2006 | 47 | |
| 17 | 2006 | 1 | |
| 18 | 2005 | 84 | |
| 19 | 2005 | 29 | |
| 20 | 2004 | 4 |
About Abhay K. Singh
Abhay K. Singh is a scholar working on General Social Sciences, Control and Systems Engineering and Toxicology, having authored 26 papers that have together received 423 indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (5 papers), Fatigue and fracture mechanics (5 papers), Advanced Control Systems Optimization (4 papers), Control Systems and Identification (4 papers), Fault Detection and Control Systems (3 papers), Advanced Fiber Optic Sensors (3 papers), Model Reduction and Neural Networks (3 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Control and Systems Engineering (150 citations), Statistics, Probability and Uncertainty (42 citations) and Statistical and Nonlinear Physics (44 citations). Abhay K. Singh has collaborated with scholars based in United States and India. Frequent co-authors include Juergen Hahn, Haiying Huang, Yupeng Zhu, Ming Han, Aditi Chattopadhyay, Nam Phan, Jaret C. Riddick, Asha Hall, S. K. Datta and Zuyi Huang. Their work appears in journals such as Industrial & Engineering Chemistry Research, Biotechnology and Bioengineering and Smart Materials and Structures.
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.