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.
Natural Language Processing of Social Media as Screening for Suicide Risk
2018280 citationsGlen Coppersmith, R. Bret Leary et al.SHILAP Revista de lepidopterologíaprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Alex B. Fine'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 Alex B. Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex B. Fine more than expected).
This network shows the impact of papers produced by Alex B. Fine. 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 Alex B. Fine. The network helps show where Alex B. Fine may publish in the future.
Co-authorship network of co-authors of Alex B. Fine
This figure shows the co-authorship network connecting the top 25 collaborators of Alex B. Fine.
A scholar is included among the top collaborators of Alex B. Fine 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 Alex B. Fine. Alex B. Fine is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Coppersmith, Glen, R. Bret Leary, Patrick Crutchley, & Alex B. Fine. (2018). Natural Language Processing of Social Media as Screening for Suicide Risk. SHILAP Revista de lepidopterología. 10. 1420350364–1420350364.280 indexed citations breakdown →
Farmer, Thomas A., et al.. (2014). Error-Driven Adaptation of Higher-Level Expectations During Reading.. Cognitive Science. 36(36).9 indexed citations
8.
Karuza, Elisabeth A., et al.. (2014). On-line Measures of Prediction in a Self-Paced Statistical Learning Task. Cognitive Science. 36(36).19 indexed citations
Fine, Alex B. & T. Florian Jaeger. (2013). Syntactic priming in language comprehension allows linguistic expectations to converge on the statistics of the input.. Cognitive Science. 35(35).1 indexed citations
Kleinschmidt, Dave, Alex B. Fine, & T. Florian Jaeger. (2012). A belief-updating model of adaptation and cue combination in syntactic comprehension. Cognitive Science. 34(34).19 indexed citations
14.
Farmer, Thomas A., Alex B. Fine, & T. Florian Jaeger. (2011). Implicit Context-Specific Learning Leads to Rapid Shifts in Syntactic Expectations. Cognitive Science. 33(33).13 indexed citations
15.
Fine, Alex B. & T. Florian Jaeger. (2011). Language comprehension is sensitive to changes in the reliability of lexical cues.. Cognitive Science. 33(33).10 indexed citations
Fine, Alex B., Ting Qian, T. Florian Jaeger, & Robert J. Jacobs. (2010). Syntactic Adaptation in Language Comprehension. Meeting of the Association for Computational Linguistics. 18–26.17 indexed citations
18.
Fine, Alex B., Ting Qian, T. Florian Jaeger, & Robert A. Jacobs. (2010). Is there syntactic adaptation in language comprehension. 18–26.20 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.