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 Liability of Newness: Age Dependence in Organizational Death Rates
19831.2k citationsGlenn R. Carroll, Michael T. Hannan et al.profile →
The Demography of Corporations and Industries
2000675 citationsGlenn R. Carroll, Michael T. HannanPrinceton University Press eBooksprofile →
Why the Microbrewery Movement? Organizational Dynamics of Resource Partitioning in the U.S. Brewing Industry
Countries citing papers authored by Glenn R. Carroll
Since
Specialization
Citations
This map shows the geographic impact of Glenn R. Carroll'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 Glenn R. Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn R. Carroll more than expected).
Fields of papers citing papers by Glenn R. Carroll
This network shows the impact of papers produced by Glenn R. Carroll. 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 Glenn R. Carroll. The network helps show where Glenn R. Carroll may publish in the future.
Co-authorship network of co-authors of Glenn R. Carroll
This figure shows the co-authorship network connecting the top 25 collaborators of Glenn R. Carroll.
A scholar is included among the top collaborators of Glenn R. Carroll 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 Glenn R. Carroll. Glenn R. Carroll is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dean, Thomas, Glenn R. Carroll, & Richard Washington. (2007). On the prospects for building a working model of the visual cortex. National Conference on Artificial Intelligence. 1597–1600.7 indexed citations
Dobrev, Stanislav D., Tai Young Kim, & Glenn R. Carroll. (2000). Niche and scale in organizational evolution: a unified empirical model of automobile manufacturers in the US 1885-1981. 43(6). 457–67.4 indexed citations
9.
Polós, László, Michael T. Hannan, & Glenn R. Carroll. (2000). Foundations of a Theory of Social Forms. EUR Research Repository (Erasmus University Rotterdam).8 indexed citations
10.
Carroll, Glenn R. & David J. Teece. (1999). Firms, Markets, and Hierarchies: The Transaction Cost Economics Perspective. Oxford University Press eBooks.31 indexed citations
Charniak, Eugene, Glenn R. Carroll, John Adcock, et al.. (1996). Taggers for parsers. Artificial Intelligence. 85(1-2). 45–57.34 indexed citations
14.
Carroll, Glenn R. & Michael T. Hannan. (1995). Organizations in industry : strategy, structure, and selection. Oxford University Press eBooks.142 indexed citations
15.
Charniak, Eugene & Glenn R. Carroll. (1994). Context-sensitive statistics for improved grammatical language models. National Conference on Artificial Intelligence. 728–733.21 indexed citations
16.
Hannan, Michael T. & Glenn R. Carroll. (1992). Dynamics of Organizational Populations.568 indexed citations breakdown →
Amburgey, Terry L. & Glenn R. Carroll. (1984). Time-series models for event counts. Social Science Research. 13(1). 38–54.13 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.