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.
The determinants of national innovative capacity
20021.5k citationsJeffrey L. Furman, Michael E. Porter et al.profile →
The product market and the market for “ideas”: commercialization strategies for technology entrepreneurs
2003828 citationsJoshua S. Gans, Scott Sternprofile →
This map shows the geographic impact of Scott Stern'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 Scott Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Stern more than expected).
This network shows the impact of papers produced by Scott Stern. 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 Scott Stern. The network helps show where Scott Stern may publish in the future.
Co-authorship network of co-authors of Scott Stern
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Stern.
A scholar is included among the top collaborators of Scott Stern 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 Scott Stern. Scott Stern is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Felin, Teppo, Alfonso Gambardella, Scott Stern, & Todd Zenger. (2019). Lean Startup and the Business Model: Experimentation Revisited. SSRN Electronic Journal.2 indexed citations
4.
Guzmán, Jorge, et al.. (2019). The Impact of State-Level R&D Tax Credits on the Quantity and Quality of Entrepreneurship. National Bureau of Economic Research.1 indexed citations
5.
Furman, Jeffrey L., Annabelle Gawer, Brian S. Silverman, & Scott Stern. (2017). Advances in Strategic Management: Entrepreneurship, Innovation, and Platforms.2 indexed citations
6.
Porter, Michael E., et al.. (2013). Social Progress Index. Bulletin of Entomological Research. 103(4). 485–94.30 indexed citations
7.
Lerner, Josh, et al.. (2011). Is the Pharmaceutical Industry in a Productivity Crisis. SSRN Electronic Journal.3 indexed citations
Murray, Fiona, Philippe Aghion, Mathias Dewatripont, Julian Kolev, & Scott Stern. (2009). Of Mice and Academics: Examining the Effect of Openness on Innovation. NBER Working Paper No. 14819.. National Bureau of Economic Research.27 indexed citations
10.
Lerner, Josh & Scott Stern. (2009). Innovation Policy and the Economy, Volume 10. RePEc: Research Papers in Economics.1 indexed citations
Stern, Scott & Fiona Murray. (2005). Do Formal Intellectual Property Rights Hinder the Free Flow of Scientific Knowledge? An Empirical Test of the Anti-Commons Hypothesis. SSRN Electronic Journal.99 indexed citations
Porter, Michael E. & Scott Stern. (2001). Innovation: Location Matters. MIT Sloan management review. 42(4). 28–36.408 indexed citations
16.
Porter, Michael E., Jeffrey L. Furman, & Scott Stern. (2000). Factores impulsores de la capacidad innovadora nacional: implicaciones para España y América Latina. 78–88.7 indexed citations
17.
Porter, Michael E. & Scott Stern. (2000). Measuring the "Ideas" Production Function: Evidence from International Patent Output. National Bureau of Economic Research.1 indexed citations
Athey, Susan & Scott Stern. (1998). An Empirical Framework for Testing Theories About Complimentarity in Organizational Design. National Bureau of Economic Research.91 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.