Jack Greenfield

751 citations
5 papers · 419 · h-index 3

Impact in

  • Software top 2%
    • Model-Driven Software Engineering Techniques
    • Software Testing and Debugging Techniques
    • Service-Oriented Architecture and Web Services
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

    • Advanced Software Engineering Methodologies 5
    • Software Engineering Techniques and Practices 2
    • Software Engineering Research 1
    • Service-Oriented Architecture and Web Services 1

Jack Greenfield

5 papers receiving 368 citations

Peers

Jack Greenfield
Comparison fields: 5 of 47
  • Software 207
  • Information Systems 302
  • Artificial Intelligence 286
  • Management Information Systems 54
  • Computer Science Applications 21
Replace Erik Kamsties with:
Erik Kamsties Germany
Steven Woods United States
Vincenzo Ambriola Italy
Rob Pooley United Kingdom
James M. Neighbors United States
Anthony Finkelsteiin United Kingdom
Giovanni Cantone Italy
Luqi United States
K.C. Kang South Korea
Fiona Hayes United Kingdom
Jack Greenfield relative to Erik Kamsties Germany Erik Kamsties's profile →
Citations per field
00.5×1.6×
Erik Kamsties · 1×
Citations per year

Countries citing papers authored by Jack Greenfield

Since Specialization
Citations

This map shows the geographic impact of Jack Greenfield'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 Jack Greenfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Greenfield more than expected).

Fields of papers citing papers by Jack Greenfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Greenfield. 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 Jack Greenfield. The network helps show where Jack Greenfield may publish in the future.

Co-authors

The 3 scholars most cited alongside Jack Greenfield, 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 Jack Greenfield Line = papers co-authored together Jack Greenfield links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2004363
2 200352
3 20032
4
Model-Driven Development: Automating Component Design, Implementation, and Assembly
20071
5 20051

About Jack Greenfield

Jack Greenfield is a scholar working on Artificial Intelligence, Information Systems, Software, Information Systems and Management and Management Science and Operations Research, having authored 5 papers that have together received 419 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (5 papers), Model-Driven Software Engineering Techniques (3 papers), Software Engineering Techniques and Practices (2 papers), Software Engineering Research (1 paper), Simulation Techniques and Applications (1 paper), Scientific Computing and Data Management (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Software (207 citations), Information Systems (302 citations), Artificial Intelligence (286 citations), Management Information Systems (54 citations) and Computer Science Applications (21 citations). Jack Greenfield has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gregor Kiczales, Dave Thomas and Ivar Jacobson. Their work appears in journals such as Lecture notes in computer science and John Wiley & Sons, Inc. eBooks.

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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