Scott Green

435 citations
3 papers · 289 · h-index 3

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

    • Software Engineering Techniques and Practices 3
    • Software Engineering Research 2
    • Software Reliability and Analysis Research 2

Scott Green

3 papers receiving 280 citations

Peers

Scott Green
Comparison fields: 5 of 38
  • Software 151
  • Information Systems 257
  • Computer Science Applications 39
  • Artificial Intelligence 62
  • Human-Computer Interaction 7
Replace Christian Denger with:
Christian Denger Germany
Phil Milliman United States
Ilene Burnstein United States
Adam Czauderna United States
Vieri del Bianco Italy
J.R. Hagemeister United States
Dejan Baca Sweden
Tiago L. Alves Portugal
Steven Condon United States
Giovanni Giachetti Spain
Scott Green relative to Christian Denger Germany Christian Denger's profile →
Citations per field
00.5×1.5×1.8×
Christian Denger · 1×
Citations per year

Countries citing papers authored by Scott Green

Since Specialization
Citations

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

Fields of papers citing papers by Scott Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Scott Green, 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 Scott Green Line = papers co-authored together Scott Green links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 1996275
2
The cleanroom case study in the Software Engineering Laboratory: Project description and early analysis
19909
3
Software Engineering Laboratory (SEL) cleanroom process model
19915

About Scott Green

Scott Green is a scholar working on Information Systems, Software, Hardware and Architecture, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 289 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (3 papers), Software Reliability and Analysis Research (2 papers), Software Engineering Research (2 papers), Real-Time Systems Scheduling (1 paper) and Advanced Software Engineering Methodologies (1 paper). The work is most often cited by research in Software (151 citations), Information Systems (257 citations), Computer Science Applications (39 citations), Artificial Intelligence (62 citations) and Human-Computer Interaction (7 citations). Scott Green has collaborated with scholars based in United States and Germany. Frequent co-authors include Victor R. Basili, Filippo Lanubile, Oliver Laitenberger, Forrest Shull, Marvin V. Zelkowitz, Rose Pajerski, Sharon Waligora and F. E. Mcgarry. Their work appears in journals such as Empirical Software Engineering and NASA Technical Reports Server (NASA).

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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