Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
2022246 citationsSarah Lebovitz, Hila Lifshitz‐Assaf et al.Organization Scienceprofile →
Is AI ground truth really true? The dangers of training and evaluating AI tools based on experts’ know-what
\n
2021164 citationsSarah Lebovitz, Natalia Levina et al.Warwick Research Archive Portal (University of Warwick)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Natalia Levina
Since
Specialization
Citations
This map shows the geographic impact of Natalia Levina'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 Natalia Levina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Levina more than expected).
This network shows the impact of papers produced by Natalia Levina. 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 Natalia Levina. The network helps show where Natalia Levina may publish in the future.
Co-authorship network of co-authors of Natalia Levina
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Levina.
A scholar is included among the top collaborators of Natalia Levina 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 Natalia Levina. Natalia Levina is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.
Hałaburda, Hanna, et al.. (2019). Understanding Smart Contracts as a New Option in Transaction Cost Economics. Journal of the Association for Information Systems.3 indexed citations
5.
Pachidi, Stella, Nicholas Berente, Panos Constantinides, et al.. (2019). Studying and theorizing knowledge work in the age of intelligent machines. Warwick Research Archive Portal (University of Warwick). 1–8.2 indexed citations
6.
Levina, Natalia, et al.. (2017). Charity or Investment: Linguistic Features of Identifiable Victim Effect in Microlending. Journal of the Association for Information Systems.1 indexed citations
7.
Su, Ning, Natalia Levina, & Jeanne W. Ross. (2016). The long-tail strategy for IT outsourcing. Warwick Research Archive Portal (University of Warwick). 57(2). 81–89.27 indexed citations
8.
Avital, Michel, John M. Carroll, Anders Hjalmarsson, et al.. (2015). The sharing economy: Friend or foe?. International Conference on Information Systems.17 indexed citations
9.
Avital, Michel, John M. Carroll, Anders Hjalmarsson, et al.. (2015). The Sharing Economy. International Conference on Information Systems.26 indexed citations
Levina, Natalia, et al.. (2011). Studying China’s IT Services Industry: Generalizations, Particularities, and the Competitive Outlook. International Conference on Information Systems.1 indexed citations
12.
Su, Ning, Natalia Levina, & Hao Lou. (2010). HOW IT SERVICE SUPPLIERS ACQUIRE CAPABILITIES IN OUTSOURCING ALLIANCES : AN EVOLUTIONARY PERSPECTIVE. International Conference on Information Systems. 62.3 indexed citations
13.
Levina, Natalia, et al.. (2008). SOCIAL DYNAMICS IN ONLINE CULTURAL FIELDS. Journal of the Association for Information Systems. 120.17 indexed citations
14.
Levina, Natalia, et al.. (2008). Software-as-a Service Model: Elaborating Client-Side Adoption Factors. Journal of the Association for Information Systems. 86.46 indexed citations
15.
Levina, Natalia. (2006). COLLABORATING ACROSS BOUNDARIES IN A GLOBAL ECONOMY: DO ORGANIZATIONAL BOUNDARIES AND COUNTRY CONTEXTS MATTER?. Journal of the Association for Information Systems. 36.13 indexed citations
16.
Levina, Natalia & Emmanuelle Vaast. (2005). Turning a Community into a Market: A Practice Perspective on IT Use in Boundary-Spanning. SSRN Electronic Journal.16 indexed citations
17.
Levina, Natalia, et al.. (2004). The Emergence of Boundary Spanning Competence in Practice: Implicationsfor Information Systems' Implementation Use. SSRN Electronic Journal.23 indexed citations
Levina, Natalia & Jeanne W. Ross. (2003). From the Vendor's Perspective: Exploring the Value Proposition in IT Outsourcing. SSRN Electronic Journal.64 indexed citations
20.
Levina, Natalia. (2002). Collaborative Practices in Information Systems Development: A Collective Reflection-in-Action Framework. Journal of the Association for Information Systems. 24.4 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.