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.
Sound–meaning association biases evidenced across thousands of languages
2016272 citationsDamián E. Blasí, Søren Wichmann et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Harald Hammarström
Since
Specialization
Citations
This map shows the geographic impact of Harald Hammarström'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 Harald Hammarström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harald Hammarström more than expected).
Fields of papers citing papers by Harald Hammarström
This network shows the impact of papers produced by Harald Hammarström. 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 Harald Hammarström. The network helps show where Harald Hammarström may publish in the future.
Co-authorship network of co-authors of Harald Hammarström
This figure shows the co-authorship network connecting the top 25 collaborators of Harald Hammarström.
A scholar is included among the top collaborators of Harald Hammarström 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 Harald Hammarström. Harald Hammarström is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hammarström, Harald, et al.. (2020). The DReaM corpus: A multilingual annotated corpus of grammars for the world’s languages. Language Resources and Evaluation. 878–884.2 indexed citations
Hammarström, Harald, et al.. (2018). Simultaneous visualization of language endangerment and language description. TU/e Research Portal. 12. 359–392.15 indexed citations
Petzell, Malin & Harald Hammarström. (2013). Grammatical and lexical subclassification of the Morogoro region, Tanzania. Max Planck Digital Library. 22(3). 129–157.3 indexed citations
13.
Nordhoff, Sebastian & Harald Hammarström. (2011). Glottolog/langdoc: defining dialects, languages, and language families as collections of resources. MPG.PuRe (Max Planck Society). 53–58.24 indexed citations
14.
Allwood, Jens, et al.. (2010). Work on spoken (multimodal) language corpora in South Africa. Language Resources and Evaluation. 885–889.3 indexed citations
15.
Hammarström, Harald. (2010). The status of the least documented language families in the world. Language documentation and conservation. 4. 177–212.9 indexed citations
16.
Hammarström, Harald, et al.. (2008). Bootstrapping Language Description: the case of Mpiemo (Bantu A, Central African Republic). Language Resources and Evaluation.2 indexed citations
17.
Hammarström, Harald. (2007). Handbook of descriptive language knowledge : a full-scale reference guide for typologists. Chalmers Publication Library (Chalmers University of Technology).7 indexed citations
18.
Hammarström, Harald. (2006). A Naive Theory of Morphology and an Algorithm for Extraction. Chalmers Research (Chalmers University of Technology).9 indexed citations
19.
Forsberg, Markus, Harald Hammarström, & Aarne Ranta. (2006). Lexicon Extraction from Raw Text Data. Chalmers Publication Library (Chalmers University of Technology).6 indexed citations
20.
Hammarström, Harald & Aarne Ranta. (2004). Cardinal Numerals Revisited in GF. Chalmers Research (Chalmers University of Technology).3 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.