D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 39 Citations 12,815 221 World Ranking 3755 National Ranking 62

Overview

What is he best known for?

The fields of study Raghunathan Rengaswamy is best known for:

  • Systems engineering
  • Unscented transform
  • Kalman filter

In his research, Raghunathan Rengaswamy undertakes multidisciplinary study on Artificial intelligence and Nanotechnology. In his study, he carries out multidisciplinary Nanotechnology and Artificial intelligence research. His research brings together the fields of Process control and Process (computing). His work on Process control is being expanded to include thematically relevant topics such as Operating system. In his research, he undertakes multidisciplinary study on Operating system and Process (computing). In his works, Raghunathan Rengaswamy conducts interdisciplinary research on Fault (geology) and Seismology. Raghunathan Rengaswamy performs multidisciplinary study in Seismology and Fault (geology) in his work. Raghunathan Rengaswamy incorporates Programming language and Constant (computer programming) in his studies. His Fault detection and isolation study often links to related topics such as Actuator.

His most cited work include:

  • A review of process fault detection and diagnosis (2097 citations)
  • A review of process fault detection and diagnosis (1538 citations)
  • A review of process fault detection and diagnosis (1284 citations)

What are the main themes of his work throughout his whole career to date

Data mining and Algorithm are fields of study that overlap with his Artificial intelligence research. Raghunathan Rengaswamy brings together Algorithm and Artificial intelligence to produce work in his papers. Much of his study explores Quantum mechanics relationship to Nonlinear system and Power (physics). His study ties his expertise on Quantum mechanics together with the subject of Power (physics). Raghunathan Rengaswamy combines topics linked to Control theory (sociology) with his work on Control (management). Much of his study explores Control theory (sociology) relationship to Control (management). His study deals with a combination of Process (computing) and Operating system. Raghunathan Rengaswamy connects Operating system with Process (computing) in his study. Raghunathan Rengaswamy performs integrative study on Seismology and Fault (geology).

Raghunathan Rengaswamy most often published in these fields:

  • Artificial intelligence (56.57%)
  • Quantum mechanics (34.34%)
  • Control (management) (31.31%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods

Venkat Venkatasubramanian;Raghunathan Rengaswamy;Kewen Yin;Surya N. Kavuri.
Computers & Chemical Engineering (2003)

3476 Citations

A review of process fault detection and diagnosis: Part III: Process history based methods

Venkat Venkatasubramanian;Raghunathan Rengaswamy;Surya N. Kavuri;Kewen Yin.
Computers & Chemical Engineering (2003)

2305 Citations

A review of process fault detection and diagnosis Part II : Qualitative models and search strategies

Venkat Venkatasubramanian;Raghunathan Rengaswamy;Surya N. Kavuri.
Computers & Chemical Engineering (2003)

1591 Citations

A syntactic pattern-recognition approach for process monitoring and fault diagnosis

Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Engineering Applications of Artificial Intelligence (1995)

215 Citations

Locating sensors in complex chemical plants based on fault diagnostic observability criteria

Rao Raghuraj;Mani Bhushan;Raghunathan Rengaswamy.
Aiche Journal (1999)

192 Citations

Fault diagnosis using dynamic trend analysis: A review and recent developments

Mano Ram Maurya;Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Engineering Applications of Artificial Intelligence (2007)

184 Citations

Fuzzy-logic based trend classification for fault diagnosis of chemical processes

Sourabh Dash;Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Computers & Chemical Engineering (2003)

180 Citations

Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets

Mano Ram Maurya;Raghunathan Rengaswamy;Venkat Venkatasubramanian.
Engineering Applications of Artificial Intelligence (2004)

179 Citations

Robust and reliable estimation via Unscented Recursive Nonlinear Dynamic Data Reconciliation

Pramod Vachhani;Shankar Narasimhan;Raghunathan Rengaswamy.
Journal of Process Control (2006)

177 Citations

A Review of Solid Oxide Fuel Cell (SOFC) Dynamic Models

Debangsu Bhattacharyya;Raghunathan Rengaswamy.
Industrial & Engineering Chemistry Research (2009)

165 Citations

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