David Zubrow

1.7k citations
29 papers · 1.0k · h-index 12

Impact in

    • Knowledge Management and Sharing
  • Software top 5%
    • Software Reliability and Analysis Research

Papers in

    • Software Engineering Research 16
    • Software Engineering Techniques and Practices 11
    • Software Reliability and Analysis Research 9

David Zubrow

27 papers receiving 840 citations

Peers

David Zubrow
Comparison fields: 5 of 73
  • Communication 206
  • Software 110
  • Management Information Systems 207
  • Information Systems 447
  • Computer Science Applications 86
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Citations per field
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Citations per year

Countries citing papers authored by David Zubrow

Since Specialization
Citations

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

Fields of papers citing papers by David Zubrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Zubrow, 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 David Zubrow Line = papers co-authored together David Zubrow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997284
2 1985252
3
Benefits of CMM-Based Software Process Improvement: Initial Results
1994113
4 199193
5 198477
6 199529
7 198624
8 200722
9 200318
10 201815
11
Standardized Testing from the Administrative Perspective.
198114
12 199913
13 19819
14
Software Process Automation: Interviews, Survey, and Workshop Results.
19979
15
Using Capture-Recapture Models for the Reinspection Decision
20038
16 20088
17 20117
18
Measuring Software Product Quality: The ISO 25000 Series and CMMI
20046
19 20115
20 19975

About David Zubrow

David Zubrow is a scholar working on Information Systems, Software, Artificial Intelligence, Management Information Systems and Safety, Risk, Reliability and Quality, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Software Engineering Research (16 papers), Software Engineering Techniques and Practices (11 papers), Software Reliability and Analysis Research (9 papers), Advanced Software Engineering Methodologies (4 papers), Manufacturing Process and Optimization (3 papers), Technology Assessment and Management (3 papers), Big Data and Business Intelligence (2 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Communication (206 citations), Software (110 citations), Management Information Systems (207 citations), Information Systems (447 citations) and Computer Science Applications (86 citations). David Zubrow has collaborated with scholars based in United States and Germany. Frequent co-authors include Sara Kiesler, James D. Herbsleb, Valerie Geller, Dennis R. Goldenson, Lee Sproull, Mark C. Paulk, Will Hayes, Jane Siegel, Anita Carleton and William Hayes. Their work appears in journals such as Journal of Systems and Software, Phi Delta Kappan, Journal of Social Issues, Information Systems Frontiers and Educational Administration Quarterly.

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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