Madeline Diep
About
In The Last Decade
Madeline Diep
18 papers receiving 219 citations
Peers
Comparison fields: 5 of 48
- Information Systems 149
- Software 122
- Computer Networks and Communications 64
- Computer Science Applications 36
- Artificial Intelligence 32
Countries citing papers authored by Madeline Diep
This map shows the geographic impact of Madeline Diep'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 Madeline Diep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madeline Diep more than expected).
Fields of papers citing papers by Madeline Diep
This network shows the impact of papers produced by Madeline Diep. 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 Madeline Diep. The network helps show where Madeline Diep may publish in the future.
Co-authorship network of co-authors of Madeline Diep
This figure shows the co-authorship network connecting the top 25 collaborators of Madeline Diep. A scholar is included among the top collaborators of Madeline Diep 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 Madeline Diep. Madeline Diep is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Virtual Collaborative Analysis: Effects of Two AI Summarizers | Small Group Research | Aimée A. Kane, Susannah B. F. Paletz et al. | 2 |
| 2 | Intelligence Analysis Shift Work: Sensemaking Processes, Tensions, and Takeaways | Proceedings of the Human Factors and Ergonomics Society Annual Meeting | Aimée A. Kane, Susannah B. F. Paletz et al. | 4 |
| 3 | SeqScreen: accurate and sensitive functional screening of pathogenic sequences via ensemble learning | Genome biology | Advait Balaji, Bryce Kille et al. | 14 |
| 4 | Towards Automated Comprehension and Alignment of Cardiac Models at the System Invariant Level | Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) | Samuel H. Huang, Madeline Diep et al. | 0 |
| 5 | SeqScreen: a biocuration platform for robust taxonomic and biological process characterization of nucleic acid sequences of interest | Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) | R. A. Leo Elworth, Advait Balaji et al. | 3 |
| 6 | Safety-Focused Security Requirements Elicitation for Medical Device Software | Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) | Mikael Lindvall, Madeline Diep et al. | 4 |
| 7 | Developing a Value-Based Methodology for Satisfying NASA Software Assurance Requirements | Fraunhofer-Publica (Fraunhofer-Gesellschaft) | Daniel Port, Madeline Diep et al. | 2 |
| 8 | Ask the engineers: exploring repertory grids and personal constructs for software data analysis | International Conference on Software Engineering | Lucas Layman, Carolyn Seaman et al. | 2 |
| 9 | Ask the Engineers: Exploring Repertory Grids and Personal Constructs for Software Data Analysis | Cineca Institutional Research Information System (Tor Vergata University) | Lucas Layman, Carolyn Seaman et al. | 1 |
| 10 | Debugging Revisited: Toward Understanding the Debugging Needs of Contemporary Software Developers | Fraunhofer-Publica (Fraunhofer-Gesellschaft) | Lucas Layman, Madeline Diep et al. | 24 |
| 11 | How Effective Is Test-Driven Development? | Biodiversity Data Journal | Burak Turhan, Lucas Layman et al. | 26 |
| 12 | Obtaining valid safety data for software safety measurement and process improvement | Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) | Victor R. Basili, Marvin V. Zelkowitz et al. | 4 |
| 13 | What Do We Know about Test-Driven Development? | IEEE Software | Forrest Shull, Grigori Melnik et al. | 50 |
| 14 | Reducing the Cost of Path Property Monitoring Through Sampling | Matthew B. Dwyer, Madeline Diep et al. | 13 | |
| 15 | Trace Normalization | Madeline Diep, Sebastian Elbaum et al. | 5 | |
| 16 | Reducing irrelevant trace variations | Madeline Diep, Sebastian Elbaum et al. | 2 | |
| 17 | Analysis of a deployed software | Madeline Diep | 1 | |
| 18 | Probe Distribution Techniques to Profile Events in Deployed Software | Madeline Diep, Myra B. Cohen et al. | 11 | |
| 19 | Profiling Deployed Software: Strategic Probe Placement | Insecta mundi | Madeline Diep, Sebastian Elbaum et al. | 2 |
| 20 | Profiling deployed software: assessing strategies and testing opportunities | IEEE Transactions on Software Engineering | Sebastian Elbaum, Madeline Diep | 67 |
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.