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.
Countries citing papers authored by Janet B. Pierrehumbert
Since
Specialization
Citations
This map shows the geographic impact of Janet B. Pierrehumbert'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 Janet B. Pierrehumbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet B. Pierrehumbert more than expected).
Fields of papers citing papers by Janet B. Pierrehumbert
This network shows the impact of papers produced by Janet B. Pierrehumbert. 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 Janet B. Pierrehumbert. The network helps show where Janet B. Pierrehumbert may publish in the future.
Co-authorship network of co-authors of Janet B. Pierrehumbert
This figure shows the co-authorship network connecting the top 25 collaborators of Janet B. Pierrehumbert.
A scholar is included among the top collaborators of Janet B. Pierrehumbert 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 Janet B. Pierrehumbert. Janet B. Pierrehumbert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Pierrehumbert, Janet B., et al.. (2024). Time Machine GPT. Research Explorer (The University of Manchester). 3281–3292.1 indexed citations
Pierrehumbert, Janet B., et al.. (2020). DagoBERT: generating derivational morphology with a pretrained language model. Oxford University Research Archive (ORA) (University of Oxford).14 indexed citations
Pierrehumbert, Janet B., et al.. (2017). Prior Expectations in Linguistic Learning: A Stochastic Model of Individual Differences.. Cognitive Science.3 indexed citations
Pierrehumbert, Janet B.. (2014). Real Words, Possible Words, and New Words. Cognitive Science. 36(36).
9.
Pierrehumbert, Janet B., et al.. (2014). Reconciling Inconsistency in Encoded Morphological Distinctions in an Artificial Language. Cognitive Science. 36(36).8 indexed citations
10.
Daland, Robert, Andrea D. Sims, & Janet B. Pierrehumbert. (2007). Much ado about nothing: A social network model of Russian paradigmatic gaps. Meeting of the Association for Computational Linguistics. 936–943.19 indexed citations
11.
Broe, Michael & Janet B. Pierrehumbert. (2000). Acquisition and the lexicon. Cambridge University Press eBooks.12 indexed citations
12.
Pierrehumbert, Janet B. & Stefan A. Frisch. (1994). Source allophony and speech synthesis.. SSW. 1–4.3 indexed citations
13.
Pierrehumbert, Janet B.. (1993). Dissimilarity in the Arabic Verbal Roots. Scholarworks (University of Massachusetts Amherst). 23(2). 8.89 indexed citations
Docherty, Gerard, Gerard Docherty, Sarah Hawkins, et al.. (1992). Gesture, Segment, Prosody. Cambridge University Press eBooks.38 indexed citations
16.
Silverman, Kim, Mary E. Beckman, John F. Pitrelli, et al.. (1992). TOBI: a standard for labeling English prosody. 867–870.600 indexed citations breakdown →
17.
Hirschberg, Julia, Diane Litman, Janet B. Pierrehumbert, & Gregory Ward. (1987). Intonation and the intentional structure of discourse. 636–639.13 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.