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.
Cognition and Second Language Instruction
20011.2k citationsPeter Robinson, Richard Schmidt et al.Cambridge University Press eBooksprofile →
FREQUENCY EFFECTS IN LANGUAGE PROCESSING
20021.2k citationsNick C. EllisStudies in Second Language Acquisitionprofile →
Language Is a Complex Adaptive System: Position Paper
2009497 citationsNick C. Ellis et al.Language Learningprofile →
An Academic Formulas List: New Methods in Phraseology Research
This map shows the geographic impact of Nick C. Ellis'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 Nick C. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick C. Ellis more than expected).
This network shows the impact of papers produced by Nick C. Ellis. 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 Nick C. Ellis. The network helps show where Nick C. Ellis may publish in the future.
Co-authorship network of co-authors of Nick C. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Nick C. Ellis.
A scholar is included among the top collaborators of Nick C. Ellis 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 Nick C. Ellis. Nick C. Ellis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ortega, Lourdes, Alister Cumming, & Nick C. Ellis. (2013). Agendas for language learning research. Wiley-Blackwell eBooks.2 indexed citations
6.
Ellis, Nick C. & Matthew Brook O’Donnell. (2011). Robust Language Acquisition – an Emergent Consequence of Language as a Complex Adaptive System. Cognitive Science. 33(33).9 indexed citations
7.
O’Donnell, Matthew Brook & Nick C. Ellis. (2010). Towards an Inventory of English Verb Argument Constructions. North American Chapter of the Association for Computational Linguistics. 9–16.7 indexed citations
8.
Oswick, Cliff, Tom Keenoy, Armin Beverungen, et al.. (2007). Discourse, practice, policy and organizing. International Journal of Sociology and Social Policy.2 indexed citations
9.
Ellis, Nick C.. (2007). Blocking and Learned Attention in Language Acquisition. Deep Blue (University of Michigan). 29(29).6 indexed citations
10.
Ellis, Nick C., Sid Lowe, & Sharon Purchase. (2006). Towards a re-interpretation of industrial networks: A discursive view of culture. UWA Profiles and Research Repository (University of Western Australia). 1(2). 29–59.13 indexed citations
11.
Robinson, Peter, Richard Schmidt, Nick C. Ellis, et al.. (2001). Cognition and Second Language Instruction. Cambridge University Press eBooks.1201 indexed citations breakdown →
12.
Ellis, Nick C.. (1996). Analyzing Language Sequence in the Sequence of Language Acquisition.. Studies in Second Language Acquisition. 18(3).3 indexed citations
13.
Ellis, Nick C.. (1996). Sequencing in SLA. Studies in Second Language Acquisition. 18(1). 91–126.369 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.