H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 41 Citations 7,396 133 World Ranking 4281 National Ranking 66

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Software
  • Statistics

Reliability engineering, Test set, Algorithm, Test case and Software system are his primary areas of study. His research integrates issues of Software reliability testing, Regression testing, Mutation and Non-regression testing in his study of Reliability engineering. Aditya P. Mathur focuses mostly in the field of Test set, narrowing it down to matters related to Fault detection and isolation and, in some cases, Minification and Fault coverage.

His biological study spans a wide range of topics, including Test data and Test data generation. His Test case research incorporates elements of System testing, Reliability, Measure and Component. Aditya P. Mathur usually deals with Software system and limits it to topics linked to Software development and Systems engineering and Artificial intelligence.

His most cited work include:

  • A Survey of Malware Detection Techniques (264 citations)
  • Foundations of Software Testing (233 citations)
  • Reducing the cost of mutation testing: an empirical study (191 citations)

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

His primary areas of study are Cyber-physical system, Reliability engineering, Computer security, Industrial control system and Critical infrastructure. His Cyber-physical system research incorporates themes from Programmable logic controller, Real-time computing, Embedded system, Testbed and Process control. His work carried out in the field of Reliability engineering brings together such families of science as Mutation, Software quality, Software reliability testing, Reliability and Software.

His studies in Software reliability testing integrate themes in fields like Software performance testing, Regression testing and Non-regression testing. He works mostly in the field of Industrial control system, limiting it down to topics relating to Anomaly detection and, in certain cases, Anomaly. His studies deal with areas such as Algorithm and Set as well as Test data.

He most often published in these fields:

  • Cyber-physical system (23.86%)
  • Reliability engineering (22.16%)
  • Computer security (20.45%)

What were the highlights of his more recent work (between 2017-2021)?

  • Industrial control system (15.34%)
  • Critical infrastructure (13.64%)
  • Computer security (20.45%)

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

The scientist’s investigation covers issues in Industrial control system, Critical infrastructure, Computer security, Cyber-physical system and Anomaly detection. Industrial control system is a subfield of Artificial intelligence that Aditya P. Mathur studies. His work deals with themes such as Programmable logic controller, Process, Cyber-attack, State and SCADA, which intersect with Critical infrastructure.

The concepts of his Computer security study are interwoven with issues in Testbed and Secure water treatment. His Cyber-physical system study integrates concerns from other disciplines, such as Intelligent control, Data integrity and Systems engineering. In his papers, Aditya P. Mathur integrates diverse fields, such as Controller and Reliability engineering.

Between 2017 and 2021, his most popular works were:

  • Noise Matters: Using Sensor and Process Noise Fingerprint to Detect Stealthy Cyber Attacks and Authenticate sensors in CPS (46 citations)
  • TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems (46 citations)
  • Distributed Attack Detection in a Water Treatment Plant: Method and Case Study (36 citations)

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

  • Programming language
  • Statistics
  • Software

Aditya P. Mathur mostly deals with Industrial control system, Computer security, Testbed, Cyber-physical system and Critical infrastructure. His Industrial control system study combines topics in areas such as Programmable logic controller, Anomaly detection, Data mining and Data redundancy. In general Computer security, his work in Adversary is often linked to Blackout, Electricity generation, Building management and Vulnerability assessment linking many areas of study.

Aditya P. Mathur combines subjects such as Data integrity, Real-time computing, Authentication and Identification with his study of Testbed. His Cyber-physical system study combines topics from a wide range of disciplines, such as State, Telecommunications network, SCADA, Network security and Implementation. Aditya P. Mathur has included themes like Intelligent control, Embedded system and Systems engineering in his Critical infrastructure study.

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.

Top Publications

Effect of test set minimization on fault detection effectiveness

W. Eric Wong;Joseph R. Horgan;Saul London;Aditya P. Mathur.
Software - Practice and Experience (1998)

515 Citations

A Survey of Malware Detection Techniques

Nwokedi Idika;Aditya P. Mathur.
(2007)

477 Citations

DESIGN OF MUTANT OPERATORS FOR THE C PROGRAMMING LANGUAGE

Hiralal Agrawal;Richard A. DeMillo;Bob Hathaway;William Hsu.
(2006)

390 Citations

Foundations of Software Testing

Aditya P. Mathur.
(2007)

350 Citations

Interface Mutation: an approach for integration testing

M.E. Delamaro;J.C. Maidonado;A.P. Mathur.
IEEE Transactions on Software Engineering (2001)

348 Citations

On the estimation of reliability of a software system using reliabilities of its components

S. Krishnamurthy;A.P. Mathur.
international symposium on software reliability engineering (1997)

294 Citations

Reducing the cost of mutation testing: an empirical study

W. Eric Wong;Aditya P. Mathur.
Journal of Systems and Software (1995)

279 Citations

Automated test data generation using an iterative relaxation method

Neelam Gupta;Aditya P. Mathur;Mary Lou Soffa.
foundations of software engineering (1998)

276 Citations

Test set size minimization and fault detection effectiveness: a case study in a space application

W.E. Wong;J.R. Horgan;A.P. Mathur;A. Pasquini.
computer software and applications conference (1997)

231 Citations

Performance, effectiveness, and reliability issues in software testing

A.P. Mathur.
computer software and applications conference (1991)

205 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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