Sarah Lebovitz

987 total citations · 2 hit papers
10 papers, 576 citations indexed

About

Sarah Lebovitz is a scholar working on Safety Research, Health Informatics and Management Information Systems. According to data from OpenAlex, Sarah Lebovitz has authored 10 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Safety Research, 3 papers in Health Informatics and 2 papers in Management Information Systems. Recurrent topics in Sarah Lebovitz's work include Ethics and Social Impacts of AI (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Big Data and Business Intelligence (2 papers). Sarah Lebovitz is often cited by papers focused on Ethics and Social Impacts of AI (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Big Data and Business Intelligence (2 papers). Sarah Lebovitz collaborates with scholars based in United States, Switzerland and Israel. Sarah Lebovitz's co-authors include Natalia Levina, Hila Lifshitz‐Assaf, Hala Annabi, Lior Zalmanson, Hatim A. Rahman, Arvind Karunakaran, Beth A. Bechky, Elizabeth Anne Watkins and Katherine C. Kellogg and has published in prestigious journals such as Academy of Management Journal, Organization Science and MIS Quarterly.

In The Last Decade

Sarah Lebovitz

10 papers receiving 550 citations

Hit Papers

To Engage or Not to Engage with AI for Critical Judgments... 2021 2026 2022 2024 2022 2021 50 100 150 200

Peers

Sarah Lebovitz
Shakked Noy United States
Manav Raj United States
Whitney Zhang United States
Anastasia Sergeeva Netherlands
Shahriar Sajib Australia
Fabrizio Dell’Acqua United States
Franz Strich Germany
Mateusz Dolata Switzerland
Shakked Noy United States
Sarah Lebovitz
Citations per year, relative to Sarah Lebovitz Sarah Lebovitz (= 1×) peers Shakked Noy

Countries citing papers authored by Sarah Lebovitz

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Lebovitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Lebovitz

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

All Works

10 of 10 papers shown
1.
Karunakaran, Arvind, et al.. (2025). Artificial Intelligence at Work: An Integrative Perspective on the Impact of AI on Workplace Inequality. Academy of Management Annals. 19(2). 693–735. 4 indexed citations
2.
Lebovitz, Sarah, Hila Lifshitz‐Assaf, & Natalia Levina. (2022). To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis. Organization Science. 33(1). 126–148. 246 indexed citations breakdown →
3.
Lebovitz, Sarah, et al.. (2021). Is AI ground truth really true? The dangers of training and evaluating AI tools based on experts’ know-what \n. Warwick Research Archive Portal (University of Warwick). 164 indexed citations breakdown →
4.
Lebovitz, Sarah, Natalia Levina, & Hila Lifshitz‐Assaf. (2021). Is AI Ground Truth Really True? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What. MIS Quarterly. 45(3). 1501–1526. 20 indexed citations
5.
Lebovitz, Sarah, et al.. (2020). Artificially Intelligent Futures: Technology, the Changing Nature of Work, and Organizing. Academy of Management Proceedings. 2020(1). 19930–19930. 1 indexed citations
6.
Lifshitz‐Assaf, Hila, Sarah Lebovitz, & Lior Zalmanson. (2020). Minimal and Adaptive Coordination: How Hackathons’ Projects Accelerate Innovation without Killing it. Academy of Management Journal. 64(3). 684–715. 63 indexed citations
7.
Lebovitz, Sarah, Hila Lifshitz‐Assaf, & Natalia Levina. (2020). To Incorporate or Not to Incorporate AI for Critical Judgments: The Importance of Ambiguity in Professionals’ Judgment Process. 6 indexed citations
8.
Lebovitz, Sarah. (2019). Diagnostic Doubt and Artificial Intelligence: An Inductive Field Study of Radiology Work. Journal of the Association for Information Systems. 13 indexed citations
9.
Annabi, Hala & Sarah Lebovitz. (2018). Improving the retention of women in the IT workforce: An investigation of gender diversity interventions in the USA. Information Systems Journal. 28(6). 1049–1081. 54 indexed citations
10.
Lifshitz‐Assaf, Hila, Sarah Lebovitz, & Lior Zalmanson. (2018). The Importance of Breaking Instead of Compressing Time in Accelerated Innovation: A Study of Makeathons’ New Product Development Process. SSRN Electronic Journal. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026