Stephanie Houde

3.2k total citations · 1 hit paper
24 papers, 829 citations indexed

About

Stephanie Houde is a scholar working on Artificial Intelligence, Information Systems and Management and Information Systems. According to data from OpenAlex, Stephanie Houde has authored 24 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Information Systems and Management and 4 papers in Information Systems. Recurrent topics in Stephanie Houde's work include Explainable Artificial Intelligence (XAI) (6 papers), Software Engineering Research (4 papers) and Ethics and Social Impacts of AI (4 papers). Stephanie Houde is often cited by papers focused on Explainable Artificial Intelligence (XAI) (6 papers), Software Engineering Research (4 papers) and Ethics and Social Impacts of AI (4 papers). Stephanie Houde collaborates with scholars based in United States, United Kingdom and Israel. Stephanie Houde's co-authors include Rachel Bellamy, Prasanna Sattigeri, Aleksandra Mojsilović, Kush R. Varshney, John T. Richards, Michael Hind, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Kuntal Dey and Sameep Mehta and has published in prestigious journals such as Journal of Machine Learning Research, IBM Journal of Research and Development and IEEE Software.

In The Last Decade

Stephanie Houde

24 papers receiving 773 citations

Hit Papers

Investigating Explainability of Generative AI for Code th... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Stephanie Houde
Comparison fields: 5 of 98
  • Artificial Intelligence 384
  • Safety Research 313
  • Health Informatics 122
  • Human-Computer Interaction 116
  • Information Systems 94
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Citations per field, relative to Stephanie Houde
Stephanie Houde · 1×
Citations per year, relative to Stephanie Houde
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Countries citing papers authored by Stephanie Houde

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Houde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Houde

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Houde. A scholar is included among the top collaborators of Stephanie Houde 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 Stephanie Houde. Stephanie Houde 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
# Work Indexed citations
1 1
2 3
3 1
4 18
5 9
6 4
7 1
8
Investigating Explainability of Generative AI for Code through Scenario-based Design breakdown →
116
9 9
10
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.
4
11
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
37
12 19
13 30
14 16
15 422
16 32
17 2
18 8
19 9
20 51

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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