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
Computer Science D-index 56 Citations 21,044 212 World Ranking 2628 National Ranking 1407

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to ubiquitous and immersive programming

Overview

What is she best known for?

The fields of study she is best known for:

  • Operating system
  • Programming language
  • Artificial intelligence

Her primary areas of study are Source code, Java, Programming language, Code and Wireless. Her research in Source code intersects with topics in KPI-driven code analysis, Source lines of code, Database and Code generation. The study incorporates disciplines such as AspectJ, Application software, Software engineering, Implementation and Exception handling in addition to Java.

Her Software engineering research is multidisciplinary, incorporating elements of Functional programming, Software system and Aspect-oriented software development. Her study in the field of Software development is also linked to topics like Information theory. Her Software development research incorporates elements of Aspect-oriented programming, Join point, Pointcut, Metaprogramming and Algorithm.

Her most cited work include:

  • Aspect-Oriented Programming (3062 citations)
  • Aspect-Oriented Programming (624 citations)
  • Making sense of sensing systems: five questions for designers and researchers (277 citations)

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

Her scientific interests lie mostly in Source code, Java, Programming language, Software and Code. Her study on Java also encompasses disciplines like

  • Database which is related to area like The Internet,
  • Python that connect with fields like JavaScript. Cristina V. Lopes is interested in Software development, which is a field of Software.

Cristina V. Lopes focuses mostly in the field of Software development, narrowing it down to topics relating to Software engineering and, in certain cases, Separation of concerns. Her work in Code covers topics such as Information retrieval which are related to areas like World Wide Web. The study of Aspect-oriented programming is intertwined with the study of Object-oriented programming in a number of ways.

She most often published in these fields:

  • Source code (16.20%)
  • Java (15.74%)
  • Programming language (14.81%)

What were the highlights of her more recent work (between 2013-2019)?

  • Java (15.74%)
  • Source code (16.20%)
  • Code (12.04%)

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

Cristina V. Lopes mainly investigates Java, Source code, Code, Programming language and Software. The concepts of her Java study are interwoven with issues in Python, Database, Software quality, Software metric and Code refactoring. Her Source code research focuses on subjects like Data mining, which are linked to Component.

Cristina V. Lopes has researched Code in several fields, including Block, Scalability and Information retrieval. Cristina V. Lopes combines subjects such as Software development, Heuristics and Benchmark with her study of Block. Her work deals with themes such as Machine learning, Resource and Scripting language, which intersect with Software.

Between 2013 and 2019, her most popular works were:

  • SourcererCC: scaling code clone detection to big-code (215 citations)
  • Free-hand interaction with leap motion controller for stroke rehabilitation (91 citations)
  • DéjàVu: a map of code duplicates on GitHub (75 citations)

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

  • Operating system
  • Programming language
  • Artificial intelligence

Cristina V. Lopes mostly deals with Source code, Java, Code, Information retrieval and Software. Her Source code research is multidisciplinary, relying on both Software quality, Database and Static program analysis. Her study with Java involves better knowledge in Programming language.

In Code, Cristina V. Lopes works on issues like KPI-driven code analysis, which are connected to Index, Resource and Static analysis. The various areas that Cristina V. Lopes examines in her Information retrieval study include Adaptation, Process and Taxonomy. Her study involves Software system and Software development, a branch of Software.

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

Aspect-Oriented Programming

Lodewijk Bergmans;Cristina Videira Lopes.
workshop on object oriented technology (1999)

11311 Citations

Aspect-Oriented Programming

C. Lopes;G. Kiczales.
technology of object oriented languages and systems (2000)

962 Citations

Making sense of sensing systems: five questions for designers and researchers

Victoria Bellotti;Maribeth Back;W. Keith Edwards;Rebecca E. Grinter.
human factors in computing systems (2002)

479 Citations

D: A Language Framework for Distributed Programming

Cristina Videira Lopes;Gregor Kiczales.
(1997)

460 Citations

A study on exception detection and handling using aspect-oriented programming

Martin Lippert;Cristina Videira Lopes.
international conference on software engineering (2000)

380 Citations

A survey, classification and comparative analysis of medium access control protocols for ad hoc networks

R. Jurdak;C.V. Lopes;P. Baldi.
IEEE Communications Surveys and Tutorials (2004)

365 Citations

SourcererCC: scaling code clone detection to big-code

Hitesh Sajnani;Vaibhav Saini;Jeffrey Svajlenko;Chanchal K. Roy.
international conference on software engineering (2016)

347 Citations

Sourcerer: a search engine for open source code supporting structure-based search

Sushil Bajracharya;Trung Ngo;Erik Linstead;Yimeng Dou.
conference on object-oriented programming systems, languages, and applications (2006)

279 Citations

Sourcerer: mining and searching internet-scale software repositories

Erik Linstead;Sushil Bajracharya;Trung Ngo;Paul Rigor.
Data Mining and Knowledge Discovery (2009)

259 Citations

Adaptive Low Power Listening for Wireless Sensor Networks

R. Jurdak;P. Baldi;C.V. Lopes.
IEEE Transactions on Mobile Computing (2007)

239 Citations

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