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.
Native speaker/non-native speaker conversation and the negotiation of comprehensible input1
Countries citing papers authored by Michael H. Long
Since
Specialization
Citations
This map shows the geographic impact of Michael H. Long'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 Michael H. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Long more than expected).
This network shows the impact of papers produced by Michael H. Long. 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 Michael H. Long. The network helps show where Michael H. Long may publish in the future.
Co-authorship network of co-authors of Michael H. Long
This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Long.
A scholar is included among the top collaborators of Michael H. Long 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 Michael H. Long. Michael H. Long is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Long, Michael H., et al.. (2010). Secondary Pre-Service Teachers' Content Knowledge for State Assessments: Implications for Mathematics Education Programs.. 1.5 indexed citations
3.
Long, Michael H., et al.. (2009). Linguistic Correlates of Proficiency in Korean as a Second Language. Second language Research. 45(2). 319–348.13 indexed citations
4.
Branden, Kris Van den, Kris Van den Branden, Michael H. Long, et al.. (2006). Task-Based Language Education. Cambridge University Press eBooks.159 indexed citations
Lee, Younggeun, et al.. (2005). Variation of the Linguistic Profiles of Advanced English-Speaking Learners of Korean. Second language Research. 41(2). 437–456.6 indexed citations
Cameron, Lynne, Lynne Cameron, Michael H. Long, et al.. (1999). Researching and Applying Metaphor. Cambridge University Press eBooks.278 indexed citations
Coady, James, James Coady, Michael H. Long, et al.. (1996). Second Language Vocabulary Acquisition. Cambridge University Press eBooks.335 indexed citations
13.
Long, Michael H.. (1996). Authenticity and Learning Potential in L2 Classroom Discourse. ScholarSpace (University of Hawaii at Manoa).25 indexed citations
Ross, Steven J., Michael H. Long, & Yasukata Yano. (1991). Simplification or elaboration? The Effects of Two Types of Text Modifications on Foreign Language Reading Comprehension. ScholarSpace (University of Hawaii at Manoa).9 indexed citations
16.
Long, Michael H., Jack C. Richards, Carol A. Chapelle, & Susan Hunston. (1988). The Cambridge applied linguistics series. Cambridge University Press eBooks.15 indexed citations
Long, Michael H.. (1987). The Experimental Classroom. The Annals of the American Academy of Political and Social Science. 490(1). 97–109.1 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.