Deborah Katz

449 total citations
15 papers, 187 citations indexed

About

Deborah Katz is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Deborah Katz has authored 15 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Software, 4 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Deborah Katz's work include Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (4 papers) and Software Engineering Research (4 papers). Deborah Katz is often cited by papers focused on Software Testing and Debugging Techniques (6 papers), Software Reliability and Analysis Research (4 papers) and Software Engineering Research (4 papers). Deborah Katz collaborates with scholars based in United States and Canada. Deborah Katz's co-authors include Claire Le Goues, Afsoon Afzal, Christopher S. Timperley, Anita J. Gagnon, Eric Schulte, Archie Alexander, Robert Roessler, Norman S. Greenfield, John McNeill and Laurie L. Consaul and has published in prestigious journals such as The Journal of Nervous and Mental Disease, Breast Cancer Research and Treatment and Taxon.

In The Last Decade

Deborah Katz

13 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Katz United States 7 59 35 35 25 19 15 187
Daniel I. A. Cohen United States 10 14 0.2× 9 0.3× 55 1.6× 20 0.8× 11 0.6× 29 299
Jürgen Nehmer Germany 7 11 0.2× 38 1.1× 53 1.5× 8 0.3× 95 5.0× 21 231
Noris Mohd Norowi Malaysia 6 16 0.3× 51 1.5× 77 2.2× 2 0.1× 10 0.5× 47 222
Patrick Ulam United States 8 5 0.1× 14 0.4× 63 1.8× 6 0.2× 31 1.6× 12 216
Jin Hyun Kim United States 7 11 0.2× 13 0.4× 24 0.7× 2 0.1× 41 2.2× 33 162
Émilie Balland France 6 15 0.3× 29 0.8× 37 1.1× 13 0.5× 44 2.3× 18 158
Matei Popovici Romania 8 39 0.7× 38 1.1× 45 1.3× 2 0.1× 237 12.5× 18 297

Countries citing papers authored by Deborah Katz

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Katz. A scholar is included among the top collaborators of Deborah Katz 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 Deborah Katz. Deborah Katz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Makari‐Judson, Grace, et al.. (2022). Insulin resistance and weight gain in women treated for early stage breast cancer. Breast Cancer Research and Treatment. 194(2). 423–431. 4 indexed citations
2.
Afzal, Afsoon, Deborah Katz, Claire Le Goues, & Christopher S. Timperley. (2021). Simulation for Robotics Test Automation: Developer Perspectives. 263–274. 34 indexed citations
3.
Katz, Deborah, et al.. (2020). Robustness Inside Out Testing. 1–4. 6 indexed citations
4.
Katz, Deborah, et al.. (2020). Detecting Execution Anomalies As an Oracle for Autonomy Software Robustness. 5 indexed citations
5.
Katz, Deborah, et al.. (2018). Using recurrent neural networks for decompilation. 346–356. 26 indexed citations
6.
Timperley, Christopher S., et al.. (2018). Crashing Simulated Planes is Cheap: Can Simulation Detect Robotics Bugs Early?. 331–342. 37 indexed citations
7.
Katz, Deborah. (2017). Understanding intended behavior using models of low-level signals. 424–427. 1 indexed citations
8.
Katz, Deborah, et al.. (2012). Service Guidelines Based on Resource Utilization Groups Version III for Home Care Provide Decision-Making Support for Case Managers. Healthcare Quarterly. 15(2). 75–81. 2 indexed citations
9.
Katz, Deborah, et al.. (2009). Una cultura laboral de alto rendimiento. 47–53.
10.
Katz, Deborah. (2007). New reasons to watch what you eat.. PubMed. 143(11). 70–1. 4 indexed citations
11.
Katz, Deborah & Anita J. Gagnon. (2002). Evidence of adequacy of postpartum care for immigrant women.. PubMed. 34(4). 71–81. 23 indexed citations
12.
Katz, Deborah. (1997). Smetana's Second String Quartet: Voice of Madness or Triumph of Spirit?. The Musical Quarterly. 81(4). 516–536. 2 indexed citations
13.
McNeill, John, et al.. (1987). AMERICAN CODE AND LATER LECTOTYPIFICATIONS OF LINNAEAN GENERIC NAMES DATING FROM 1753: A CASE STUDY OF DISCREPANCIES. Taxon. 36(2). 350–401. 14 indexed citations
14.
Katz, Deborah, et al.. (1976). Food: Where Nutrition Politics and Culture Meet - An Activities Guide for Teachers.
15.
Greenfield, Norman S., Deborah Katz, Archie Alexander, & Robert Roessler. (1963). THE RELATIONSHIP BETWEEN PHYSIOLOGICAL AND PSYCHOLOGICAL RESPONSIVITY. The Journal of Nervous and Mental Disease. 136(6). 535–539. 29 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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