John Brant

565 citations
10 papers · 414 · h-index 6

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Service-Oriented Architecture and Web Services

Papers in

Journals
IEEE Software (1 paper)Lecture notes in computer science (2 papers)IEEE International Conference on Software Maintenance and Evolution (ICSME) (1 paper)Proceedings/Proceedings - Conference on Software Maintenance (1 paper)

In The Last Decade

John Brant

10 papers receiving 360 citations

Peers

John Brant
Comparison fields: 5 of 15
  • Software 64
  • Information Systems 294
  • Artificial Intelligence 146
  • Development 6
  • Management Information Systems 14
Replace Serge Demeyer with:
Serge Demeyer Belgium
Byung-Kyoo Kang United States
R. V. Nithi United Kingdom
Yania Crespo Spain
Lothar Wendehals Germany
Mark C. Chu-Carroll United States
Nam H. Pham United States
Nadia Bouassida Tunisia
Thiago Tonelli Bartolomei Canada
Tiago L. Alves Portugal
John Brant relative to Serge Demeyer Belgium Serge Demeyer's profile →
Citations per field
00.5×2×3×4×
Serge Demeyer · 1×
Citations per year

Countries citing papers authored by John Brant

Since Specialization
Citations

This map shows the geographic impact of John Brant's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Brant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Brant more than expected).

Fields of papers citing papers by John Brant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Brant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Brant. The network helps show where John Brant may publish in the future.

Co-authors

The 5 scholars most cited alongside John Brant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Brant Line = papers co-authored together John Brant links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1997297
2 199852
3
Wrappers to the Rescue
199817
4 201515
5 199812
6 20096
7 20106
8
Creating Tools in HotDraw by Composition.
19943
9
``Good Enough'' Analysis for Refactoring
19983
10 20183

About John Brant

John Brant is a scholar working on Information Systems, Software, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 414 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Logic, programming, and type systems (4 papers), Model-Driven Software Engineering Techniques (3 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Software (64 citations), Information Systems (294 citations), Artificial Intelligence (146 citations), Development (6 citations) and Management Information Systems (14 citations). John Brant has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Don Roberts, Ralph E. Johnson, Brian Foote, Friedrich Steimann and Sté́phane Ducasse. Their work appears in journals such as IEEE Software, Lecture notes in computer science, IEEE International Conference on Software Maintenance and Evolution (ICSME) and Proceedings/Proceedings - Conference on Software Maintenance.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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