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.
Data Analytics, Innovation, and Firm Productivity
2019224 citationsLynn Wu, Lorin M. Hitt et al.Management Scienceprofile →
The Robot Revolution: Managerial and Employment Consequences for Firms
2021215 citationsLynn Wu et al.Management Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Lynn Wu'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 Lynn Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Wu more than expected).
This network shows the impact of papers produced by Lynn Wu. 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 Lynn Wu. The network helps show where Lynn Wu may publish in the future.
Co-authorship network of co-authors of Lynn Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn Wu.
A scholar is included among the top collaborators of Lynn Wu 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 Lynn Wu. Lynn Wu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Xiao‐Ning & Lynn Wu. (2019). Can Social Media Alleviate Inequalities? Evidence from Venture Capital Financing. Journal of the Association for Information Systems.3 indexed citations
8.
Lou, Bowen & Lynn Wu. (2019). Artificial Intelligence and Drug Innovation. Journal of the Association for Information Systems.1 indexed citations
Wu, Lynn & Lorin M. Hitt. (2015). How Do Data Skills Affect Firm Productivity: Evidence from Process-Driven vs. Innovation-Driven Practices. SSRN Electronic Journal.3 indexed citations
11.
Wu, Lynn & Erik Brynjolfsson. (2015). The Future of Prediction: How Google Searches Foreshadow Housing Prices and Quantities. Journal of the Association for Information Systems. 89–118.19 indexed citations
12.
Hitt, Lorin M., et al.. (2015). Data Skills and Value of Social Media: Evidence from Large-Sample Firm Value Analysis. International Conference on Information Systems.12 indexed citations
13.
Wu, Lynn & Erik Brynjolfsson. (2015). The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales. NBER Chapters. 89–118.34 indexed citations
14.
Wu, Lynn, et al.. (2014). Are All Spillovers Created Equal? A Network Perspective on IT Labor Movements.. Journal of the Association for Information Systems.1 indexed citations
Rudin, Cynthia, David L. Waltz, Albert Boulanger, et al.. (2011). Machine Learning for the New York City Power Grid. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(2). 328–345.178 indexed citations
18.
Aral, Sinan, Erik Brynjolfsson, & Lynn Wu. (2010). Three-Way Complementarities: Performance Pay, HR Analytics and Information Technology. SSRN Electronic Journal.8 indexed citations
19.
Aral, Sinan, Erik Brynjolfsson, & Lynn Wu. (2009). Testing Three-Way Complementarities: Performance Pay, Monitoring and Information Technology. Journal of the Association for Information Systems. 163.9 indexed citations
20.
Wu, Lynn, Benjamin N. Waber, Sinan Aral, Erik Brynjolfsson, & Alex Pentland. (2008). Mining Face-to-Face Interaction Networks Using Sociometric Badges: Predicting Productivity in an IT Configuration Task. Journal of the Association for Information Systems. 127.27 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.