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.
This map shows the geographic impact of Kenny Smith'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 Kenny Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenny Smith more than expected).
This network shows the impact of papers produced by Kenny Smith. 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 Kenny Smith. The network helps show where Kenny Smith may publish in the future.
Co-authorship network of co-authors of Kenny Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Kenny Smith.
A scholar is included among the top collaborators of Kenny Smith 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 Kenny Smith. Kenny Smith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Smith, Kenny, et al.. (2020). Simple kinship systems are more learnable.. Cognitive Science.
7.
Hawkins, Robert D., Michael Franke, Kenny Smith, & Noah D. Goodman. (2018). Emerging abstractions: Lexical conventions are shaped by communicative context.. Cognitive Science.5 indexed citations
8.
Smith, Kenny, et al.. (2017). Is the strength of regularisation behaviour uniform across linguistic levels. Cognitive Science. 1023–1028.2 indexed citations
9.
Schouwstra, Marieke, et al.. (2017). The cultural evolution of complex linguistic constructions in artificial sign languages. Cognitive Science.7 indexed citations
Hawkins, Robert D., Noah D. Goodman, Olga Fehér, et al.. (2016). The Emergence of Conventions.. Cognitive Science.
12.
Blythe, Richard A., et al.. (2014). Stochastic Dynamics of Lexicon Learning in an Uncertain and Nonuniform World. APS. 2014.1 indexed citations
13.
Fehér, Olga, Simon Kirby, & Kenny Smith. (2014). Social influences on the regularization of unpredictable variation. Cognitive Science. 2187–2191.4 indexed citations
14.
Smith, Kenny, Mónica Tamariz, & Simon Kirby. (2013). Linguistic structure is an evolutionary trade-off between simplicity and expressivity. eScholarship (California Digital Library). 35(35). 1348–1353.18 indexed citations
15.
Kirby, Simon, et al.. (2013). Communication Leads to the Emergence of Sub-optimal Category Structures. Cognitive Science. 35(35). 1312–1317.4 indexed citations
16.
Thompson, Bill, et al.. (2013). Regularization behavior in a non-linguistic domain. Cognitive Science. 35(35). 436–441.10 indexed citations
17.
Smith, Andrew & Kenny Smith. (2008). The Evolution of Language: Proceedings of the 7th International Conference (EVOLANG7), Barcelona, Spain 12-15 March 2008. 513–513.1 indexed citations
18.
Cangelosi, Angelo, Andrew Smith, & Kenny Smith. (2006). The evolution of language : proceedings of the 6th international conference (EVOLANG6) , Rome, Italy, 12-15 April 2006. WORLD SCIENTIFIC eBooks.8 indexed citations
19.
Smith, Kenny & Marianne Winslett. (1992). Multilevel Secure Rules: Integrating the Multilevel Secure and Active Data Models.. 35–53.1 indexed citations
20.
Smith, Kenny, et al.. (1976). The place of Bahnar within Bahnaric. Americanae (AECID Library).
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.