D-Index & Metrics Best Publications

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
Computer Science D-index 39 Citations 8,369 144 World Ranking 4831 National Ranking 2400

Research.com Recognitions

Awards & Achievements

2006 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Artificial intelligence
  • Software

Source code, Software system, Programming language, Artificial intelligence and Information retrieval are his primary areas of study. His research in Source code intersects with topics in Code generation, Code, Software maintenance and Documentation. His work deals with themes such as Natural language, Latent semantic indexing and Traceability, which intersect with Documentation.

His work carried out in the field of Software system brings together such families of science as Software development and Configuration management. His Programming language study incorporates themes from XML validation, XML Encryption, XML, XPath and XML schema. His studies deal with areas such as Computer vision and Natural language processing as well as Artificial intelligence.

His most cited work include:

  • Recovering documentation-to-source-code traceability links using latent semantic indexing (553 citations)
  • An information retrieval approach to concept location in source code (419 citations)
  • A survey and taxonomy of approaches for mining software repositories in the context of software evolution (374 citations)

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

Source code, Programming language, Software engineering, Artificial intelligence and Software system are his primary areas of study. Jonathan I. Maletic has included themes like Program comprehension, XML, Software maintenance and Traceability in his Source code study. Jonathan I. Maletic works mostly in the field of Traceability, limiting it down to topics relating to Documentation and, in certain cases, Information retrieval, Software documentation and Latent semantic indexing.

His Software engineering study integrates concerns from other disciplines, such as Object-oriented programming, Software and Database. Jonathan I. Maletic usually deals with Artificial intelligence and limits it to topics linked to Natural language processing and Stereotype and Identifier. His study in Software system is interdisciplinary in nature, drawing from both Software development and Human–computer interaction.

He most often published in these fields:

  • Source code (36.69%)
  • Programming language (24.26%)
  • Software engineering (23.67%)

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

  • Source code (36.69%)
  • Program comprehension (13.61%)
  • Eye tracking (9.47%)

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

His primary areas of investigation include Source code, Program comprehension, Eye tracking, Context and Artificial intelligence. His Source code research includes elements of Software maintenance, Software engineering, Natural language and Scrolling. His Software maintenance research is multidisciplinary, incorporating perspectives in Class, Measure and Taxonomy.

The Program comprehension study combines topics in areas such as Mathematics education, Duration and Task. His work in Eye tracking addresses subjects such as Gaze, which are connected to disciplines such as Code comprehension, BitTorrent tracker, Data loss and Column. His Artificial intelligence research focuses on Natural language processing and how it relates to Documentation and Thesaurus.

Between 2017 and 2021, his most popular works were:

  • iTrace: eye tracking infrastructure for development environments (23 citations)
  • Developer reading behavior while summarizing Java methods: size and context matters (13 citations)
  • Practical eye tracking with iTrace (5 citations)

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

  • Programming language
  • Artificial intelligence
  • Software

His main research concerns Source code, Program comprehension, Eye tracking, Context and Software engineering. His Source code study frequently links to other fields, such as Human–computer interaction. His research investigates the connection between Program comprehension and topics such as Java that intersect with issues in Focus, Control flow and Information retrieval.

His study focuses on the intersection of Eye tracking and fields such as Scrolling with connections in the field of Software and Microsoft Visual Studio. Context combines with fields such as Perception and Software maintenance in his work. His Software engineering research integrates issues from Software evolution, Program transformation and Code refactoring.

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

Recovering documentation-to-source-code traceability links using latent semantic indexing

Andrian Marcus;Jonathan I. Maletic.
international conference on software engineering (2003)

963 Citations

An information retrieval approach to concept location in source code

A. Marcus;A. Sergeyev;V. Rajlich;J.I. Maletic.
working conference on reverse engineering (2004)

610 Citations

A survey and taxonomy of approaches for mining software repositories in the context of software evolution

Huzefa Kagdi;Michael L. Collard;Jonathan I. Maletic.
Journal of Software Maintenance and Evolution: Research and Practice (2007)

544 Citations

Identification of high-level concept clones in source code

A. Marcus;J.I. Maletic.
automated software engineering (2001)

382 Citations

Data Cleansing: Beyond Integrity Analysis 1

Jonathan I. Maletic;Andrian Marcus.
IQ (2000)

360 Citations

Supporting program comprehension using semantic and structural information

Jonathan I. Maletic;Andrian Marcus.
international conference on software engineering (2001)

315 Citations

3D representations for software visualization

Andrian Marcus;Louis Feng;Jonathan I. Maletic.
software visualization (2003)

279 Citations

A task oriented view of software visualization

J.I. Maletic;A. Marcus;M.L. Collard.
visualizing software for understanding and analysis (2002)

235 Citations

Source code files as structured documents

J.I. Maletic;M.L. Collard;A. Marcus.
workshop on program comprehension (2002)

188 Citations

An XML-based lightweight C++ fact extractor

M.L. Collard;H.H. Kagdi;J.I. Maletic.
workshop on program comprehension (2003)

187 Citations

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