David Zubrow

1.8k total citations
29 papers, 1.0k citations indexed

About

David Zubrow is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, David Zubrow has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 9 papers in Software and 4 papers in Artificial Intelligence. Recurrent topics in David Zubrow's work include Software Engineering Research (16 papers), Software Engineering Techniques and Practices (11 papers) and Software Reliability and Analysis Research (9 papers). David Zubrow is often cited by papers focused on Software Engineering Research (16 papers), Software Engineering Techniques and Practices (11 papers) and Software Reliability and Analysis Research (9 papers). David Zubrow collaborates with scholars based in United States. David Zubrow's co-authors include Sara Kiesler, James D. Herbsleb, Valerie Geller, Dennis R. Goldenson, Lee Sproull, Will Hayes, Mark C. Paulk, Jane Siegel, Anita Carleton and William Hayes and has published in prestigious journals such as Communications of the ACM, Computers in Human Behavior and Journal of Social Issues.

In The Last Decade

David Zubrow

27 papers receiving 837 citations

Peers

David Zubrow
Comparison fields: 5 of 74
  • Information Systems 446
  • Social Psychology 207
  • Management Information Systems 206
  • Communication 206
  • Sociology and Political Science 150
John T. Nosek United States
John Noll Ireland
Cynthia L. Corritore United States
Raymond R. Panko United States
Christine A. Halverson United States
Mary Beth Rosson United States
James A. Senn United States
Yvonne Dittrich Denmark
Ban Al-Ani United States
Hugh Robinson United Kingdom
John T. Nosek United States View profile →
Citations per field, relative to David Zubrow
David Zubrow · 1×
Citations per year, relative to David Zubrow
David Zubrow · 1×

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-authorship network of co-authors of David Zubrow

This figure shows the co-authorship network connecting the top 25 collaborators of David Zubrow. A scholar is included among the top collaborators of David Zubrow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Zubrow. David Zubrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Title Journal Authors Indexed citations
1 Prioritizing alerts from multiple static analysis tools, using classification models Lori Flynn, David Svoboda et al. 15
2 Quantifying Uncertainty in Early Lifecycle Cost Estimation for DOD Major Defense Acquisition Programs Dennis R. Goldenson, David Zubrow et al. 0
3 Quantifying Uncertainty in Early Lifecycle Cost Estimation (QUELCE) Figshare Dennis R. Goldenson, David Zubrow et al. 7
4 A Tutorial for Building CMMI Process Performance Models David Zubrow et al. 2
5 Can You Trust Your Data? Measurement and Analysis Infrastructure Diagnosis David Zubrow 3
6 Analysis of architecture evaluation data Journal of Systems and Software Len Bass, Robert L. Nord et al. 8
7 Risk Themes Discovered through Architecture Evaluations Figshare Len Bass, Robert L. Nord et al. 22
8 Using Capture-Recapture Models for the Reinspection Decision Khaled El Emam, David Zubrow et al. 8
9 Measures for Software Product Lines Figshare David Zubrow, Gary Chastek 18
10 Benchmarking software organizations IEEE Software D.N. Card, David Zubrow 0
11 Software quality and the Capability Maturity Model Communications of the ACM James D. Herbsleb, David Zubrow et al. 282
12 Intergrating measurement with improvement Jo Ann Lane, David Zubrow 5
13 Moving On Up: Data and Experience Doing CMM-Based Process Improvement Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) William Hayes, David Zubrow 29
14 Benefits of CMM-Based Software Process Improvement: Initial Results Defense Technical Information Center (DTIC) James D. Herbsleb, Anita Carleton et al. 113
15 Patterns of Social Interaction and Learning to Write Written Communication Karen Hartman, Christine M. Neuwirth et al. 93
16 Cultural socialization to computing in college Computers in Human Behavior Lee Sproull, David Zubrow et al. 24
17 Affect in Computer-Meditated Communication: An Experiment in Synchronous Terminal-to-Terminal Discussion Human-Computer Interaction Sara Kiesler, David Zubrow et al. 252
18 Encountering an Alien Culture Journal of Social Issues Lee Sproull, Sara Kiesler et al. 77
19 Standardized Testing from the Administrative Perspective. Phi Delta Kappan Lee Sproull, David Zubrow 14
20 Performance Information in School Systems: Perspectives from Organization Theory Educational Administration Quarterly Lee Sproull, David Zubrow 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026