Debra J. Richardson

3.6k total citations
154 papers, 2.4k citations indexed

About

Debra J. Richardson is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Debra J. Richardson has authored 154 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Information Systems, 71 papers in Software and 45 papers in Artificial Intelligence. Recurrent topics in Debra J. Richardson's work include Software Testing and Debugging Techniques (61 papers), Software Reliability and Analysis Research (50 papers) and Software Engineering Research (45 papers). Debra J. Richardson is often cited by papers focused on Software Testing and Debugging Techniques (61 papers), Software Reliability and Analysis Research (50 papers) and Software Engineering Research (45 papers). Debra J. Richardson collaborates with scholars based in United States, Germany and Italy. Debra J. Richardson's co-authors include Lori A. Clarke, Hadar Ziv, Steven J. Zeil, Birgit Penzenstadler, Andy Podgurski, Margaret C. Thompson, Ankita Raturi, Alexander L. Wolf, Bill Tomlinson and Owen O'Malley and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and Gynecologic Oncology.

In The Last Decade

Debra J. Richardson

144 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Debra J. Richardson United States 26 1.5k 1.1k 551 454 272 154 2.4k
José Carlos Maldonado Brazil 25 1.2k 0.8× 1.4k 1.2× 577 1.0× 418 0.9× 71 0.3× 202 2.2k
Pankaj Jalote India 23 588 0.4× 1.0k 0.9× 507 0.9× 768 1.7× 121 0.4× 109 1.9k
Mehdi Jazayeri Switzerland 24 708 0.5× 1.6k 1.4× 1.1k 2.0× 711 1.6× 152 0.6× 109 2.3k
Capers Jones United States 15 835 0.5× 1.6k 1.4× 379 0.7× 316 0.7× 46 0.2× 38 2.0k
James H. Cross United States 20 770 0.5× 1.6k 1.4× 818 1.5× 395 0.9× 62 0.2× 99 2.4k
Martin Glinz Switzerland 20 529 0.3× 1.3k 1.2× 857 1.6× 317 0.7× 58 0.2× 107 1.8k
Lori Pollock United States 35 1.9k 1.2× 3.2k 2.8× 1.4k 2.5× 1.4k 3.1× 87 0.3× 202 4.7k
Marvin V. Zelkowitz United States 24 856 0.6× 1.7k 1.5× 616 1.1× 494 1.1× 71 0.3× 118 2.3k
Mikael Lindvall United States 25 799 0.5× 1.8k 1.6× 827 1.5× 514 1.1× 39 0.1× 92 2.4k
Filippo Ricca Italy 32 1.7k 1.1× 2.4k 2.1× 764 1.4× 915 2.0× 35 0.1× 165 3.0k

Countries citing papers authored by Debra J. Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Debra J. Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra J. Richardson. 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 Debra J. Richardson. The network helps show where Debra J. Richardson may publish in the future.

Co-authorship network of co-authors of Debra J. Richardson

This figure shows the co-authorship network connecting the top 25 collaborators of Debra J. Richardson. A scholar is included among the top collaborators of Debra J. Richardson 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 Debra J. Richardson. Debra J. Richardson 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
1.
Richardson, Debra J., Gopa Iyer, Anita Schmid, et al.. (2024). UPLIFT (ENGOT-ov67/GOG-3048): Results from the phase II trial of upifitamab rilsodotin, a NaPi2b-directed dolaflexin antibody-drug conjugate, in platinum-resistant ovarian cancer. Gynecologic Oncology. 190. S285–S286. 1 indexed citations
2.
Richardson, Debra J., Jill Tseng, Theresa L. Werner, et al.. (2022). 33 UPLIFT (ENGOT-ov67/GOG-3048) a pivotal cohort of upifitamab rilsodotin (XMT-1536; UpRi), a NaPi2b-directed antibody drug conjugate (ADC) in platinum-resistant ovarian cancer. Gynecologic Oncology Reports. 44. S16–S17. 2 indexed citations
3.
Ottenbreit‐Leftwich, Anne, Joshua Childs, Maureen Biggers, et al.. (2022). How to change a state: Broadening participation in K-12 computer science education. Policy Futures in Education. 4 indexed citations
4.
Nguyen, Ha, et al.. (2020). Reflection as formative assessment of computational thinking in elementary grades. International Conference of Learning Sciences. 3 indexed citations
5.
Penzenstadler, Birgit, Joseph N. Mehrabi, & Debra J. Richardson. (2015). Supporting Physicians by RE4S: Evaluating Requirements Engineering for Sustainability in the Medical Domain. 46. 36–42. 4 indexed citations
6.
Penzenstadler, Birgit, Ankita Raturi, Debra J. Richardson, & Bill Tomlinson. (2014). Safety, Security, Now Sustainability: The Nonfunctional Requirement for the 21st Century. IEEE Software. 31(3). 40–47. 97 indexed citations
7.
Ziv, Hadar, et al.. (2010). MbSRT2: Model-Based Selective Regression Testing with Traceability. 89–98. 8 indexed citations
8.
Liu, Chang & Debra J. Richardson. (2007). Programming Languages Considered Harmful in Writing Automated Software Tests. eScholarship (California Digital Library).
9.
Ziv, Hadar, et al.. (2005). Towards modeling nonfunctional requirements in software architecture. 12 indexed citations
10.
Alspaugh, Thomas A., Debra J. Richardson, Thomas A. Standish, & Hadar Ziv. (2005). Scenario-driven specification-based testing against goals and requirements. 3 indexed citations
11.
Richardson, Debra J., et al.. (2004). Regression testing via model checking.. 402–407. 4 indexed citations
12.
Richardson, Debra J., et al.. (2004). Multiply-deployed residual testing at the object level.. 69. 396–401. 6 indexed citations
13.
Peterson, Matthew R., Mark Bodner, Edward G. Jones, et al.. (2004). Innate spatial–temporal reasoning and the identification of genius. Neurological Research. 26(1). 2–8. 8 indexed citations
14.
Vieira, Marlon & Debra J. Richardson. (2003). A compositional approach for analyzing dependencies in component-based systems. 3 indexed citations
15.
Richardson, Debra J., et al.. (2002). A defect prevention approach to architecture-based testing. 1. 162–163. 1 indexed citations
16.
Richardson, Debra J., et al.. (2000). Proceedings of the 2000 ACM SIGSOFT international symposium on Software testing and analysis. 1 indexed citations
17.
Richardson, Debra J. & Paola Inverardi. (1999). ROSATEA. ACM SIGSOFT Software Engineering Notes. 24(4). 33–42. 8 indexed citations
18.
Richardson, Debra J., et al.. (1996). An evaluation of software test environment architectures. International Conference on Software Engineering. 353–364. 31 indexed citations
19.
Clarke, Lori A., Debra J. Richardson, & Steven J. Zeil. (1988). TEAM: a support environment for testing, evaluation, and analysis. ACM SIGPLAN Notices. 24(2). 153–162. 1 indexed citations
20.
Richardson, Debra J. & Lori A. Clarke. (1981). A partition analysis method to increase program reliability. International Conference on Software Engineering. 244–253. 41 indexed citations

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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