D-Index & Metrics Best Publications
Terrence L. Blevins

Terrence L. Blevins

D-Index & Metrics

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 32 Citations 4,933 55 World Ranking 4612 National Ranking 53

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Artificial intelligence

His primary areas of investigation include Process control, Process, Process simulation, Control theory and Process plant. His Process control research includes elements of Database, Real-time computing and Control theory. His Step response and Slack variable study, which is part of a larger body of work in Control theory, is frequently linked to Set, bridging the gap between disciplines.

Terrence L. Blevins interconnects Model predictive control, Data efficiency, Computer data storage, Control engineering and Data warehouse in the investigation of issues within Process. His Process simulation research is multidisciplinary, incorporating elements of Representation and Fault detection and isolation. The Control theory study combines topics in areas such as Control and Limit.

His most cited work include:

  • Diagnostic expert in a process control system (317 citations)
  • Diagnostics in a process control system (296 citations)
  • Integrated model predictive control and optimization within a process control system (207 citations)

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

Terrence L. Blevins mainly investigates Process control, Process, Control theory, Control theory and Control. His work in the fields of Process control, such as Process control network, intersects with other areas such as Set. His work on Process variable and Process simulation as part of his general Process study is frequently connected to Process plant and Value, thereby bridging the divide between different branches of science.

His Control theory study incorporates themes from Control engineering, Process output and Control signal. His Control engineering research integrates issues from Process control block, Setpoint and Automatic control. His Control theory research focuses on subjects like Signal, which are linked to Transmission.

He most often published in these fields:

  • Process control (56.31%)
  • Process (39.64%)
  • Control theory (28.38%)

What were the highlights of his more recent work (between 2013-2021)?

  • Process control (56.31%)
  • Process (39.64%)
  • Big data (5.41%)

In recent papers he was focusing on the following fields of study:

Terrence L. Blevins focuses on Process control, Process, Big data, Control theory and In process control. His studies deal with areas such as Control, Real-time computing and Analytics as well as Process control. Terrence L. Blevins usually deals with Control and limits it to topics linked to Control engineering and Setpoint, Reset and Response time.

The concepts of his Process study are interwoven with issues in Algorithm and Data mining. His research in Big data intersects with topics in Controller and Field, Database. In his research, Control signal is intimately related to Process variable, which falls under the overarching field of Control theory.

Between 2013 and 2021, his most popular works were:

  • Data pipeline for process control system anaytics (66 citations)
  • Distributed big data in a process control system (54 citations)
  • Collecting and delivering data to a big data machine in a process control system (48 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Computer network
  • Artificial intelligence

Terrence L. Blevins spends much of his time researching Big data, Process, Process control, Real-time computing and Control. He has included themes like Controller and Output device in his Big data study. His Process research is multidisciplinary, relying on both Wireless, Field, Data mining and Model predictive control.

His biological study spans a wide range of topics, including Identifier, Analytics and Data processing. His Real-time computing study combines topics from a wide range of disciplines, such as Pipeline transport, Filter, Fault detection and isolation, Unsupervised learning and Signal processing. His Control study combines topics in areas such as Key and Capital cost.

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

Diagnostic expert in a process control system

Trevor D. Schleiss;Mark Nixon;Terrence Lynn Blevins;Todd B. Brase.
(2000)

483 Citations

Diagnostics in a process control system

Terrence L Blevins;Trevor D Schleiss;Wilhelm K Wojsznis;ケー. ウオズニス ウィルヘルム.
(2001)

454 Citations

Integrated model predictive control and optimization within a process control system

Wilhelm K Wojsznis;Terrence L Blevins;Mark J Nixon.
(2003)

318 Citations

Integrated, advanced control blocks in process control systems

Terrence L. Blevins;Wilhelm K. Wojsznis;Vasiliki Tzovla;Dirk Thiele.
(2000)

317 Citations

Process plant monitoring based on multivariate statistical analysis and on-line process simulation

Blevins Terrence L;Mcmillan Gregory K;Nixon Mark J.
(2006)

231 Citations

Integration of graphic display elements, process modules and control modules in process plants

Terrence Blevins;Mark Nixon;Michael Lucas;Arthur Webb.
(2003)

218 Citations

Diagnostics in a process control system which uses multi-variable control techniques

Terrence L. Blevins;Mark J. Nixon;Wilhelm K. Wojsznis.
(2000)

202 Citations

Economic calculations in a process control system

Marion A. Keyes;Mark J. Nixon;Terrence Lynn Blevins.
(2010)

194 Citations

Multi-objective predictive process optimization with concurrent process simulation

Terrence Lynn Blevins;Wilhelm K Wojsznis;Mark J Nixon;Peter Wojsznis.
(2006)

181 Citations

Smart process objects used in a process plant modeling system

Terrence Blevins;Mark Nixon;Ken Beoughter;Michael Lucas.
(2004)

168 Citations

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