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.
Citations per year, relative to Gosse Bouma Gosse Bouma (= 1×)
peers
Nancy Ide
Countries citing papers authored by Gosse Bouma
Since
Specialization
Citations
This map shows the geographic impact of Gosse Bouma'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 Gosse Bouma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gosse Bouma more than expected).
This network shows the impact of papers produced by Gosse Bouma. 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 Gosse Bouma. The network helps show where Gosse Bouma may publish in the future.
Co-authorship network of co-authors of Gosse Bouma
This figure shows the co-authorship network connecting the top 25 collaborators of Gosse Bouma.
A scholar is included among the top collaborators of Gosse Bouma 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 Gosse Bouma. Gosse Bouma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Noord, Gertjan van, Jack Hoeksema, Peter Kleiweg, & Gosse Bouma. (2020). SPOD: Syntactic Profiler of Dutch. University of Groningen research database (University of Groningen / Centre for Information Technology). 10(1). 129–145.1 indexed citations
4.
Bouma, Gosse. (2015). N-gram Frequencies for Dutch Twitter Data. University of Groningen research database (University of Groningen / Centre for Information Technology). 5. 25–36.4 indexed citations
5.
Bouma, Gosse, Ashwin Ittoo, Valerio Basile, J.C. Wortmann, & Elisabeth Métais. (2014). Special Issue on Natural Language Processing and Text Analytics in Industry. Computers in Industry. 78.1 indexed citations
Redeker, Gisela, et al.. (2012). Multi-Layer Discourse Annotation of a Dutch Text Corpus. Language Resources and Evaluation. 2820–2825.10 indexed citations
8.
Ittoo, Ashwin & Gosse Bouma. (2010). On Learning Subtypes of the Part-Whole Relation: Do Not Mix Your Seeds. Open Repository and Bibliography (University of Liège). 1328–1336.12 indexed citations
9.
Bouma, Gosse. (2009). Cross-lingual Dutch to English alignment using eurowordnet and Dutch Wikipedia. University of Groningen research database (University of Groningen / Centre for Information Technology). 224–229.5 indexed citations
Kis, Balázs, et al.. (2004). A New Approach to the Corpus-based Statistical Investigation of Hungarian Multi-Word Lexemes. Language Resources and Evaluation. 1677–1681.4 indexed citations
14.
Plas, Lonneke van der & Gosse Bouma. (2004). Syntactic Contexts for Finding Semantically Related Words. 4. 173–186.10 indexed citations
15.
Bouma, Gosse. (1999). Recensie van "Corblin, francis; Godard, Danièle and Marandin, Jean-Marie (eds). Empirical Issues in Formal Syntax and Semantics, Selected Papers from the Colloque de Syntaxe et de Sémantique de Paris (CSSP 1995), Peter Lang, Bern, 1997.''. Studies in Language. 1. 211–216.6 indexed citations
16.
Bouma, Gosse. (1999). Constraints and resources in Natural Language Syntax and Semantics. Data Archiving and Networked Services (DANS).39 indexed citations
Bouma, Gosse & Ineke Schuurman. (1998). Intergovernmental language policy for Dutch and the language and speech technology infrastructure. Language Resources and Evaluation. 509–513.3 indexed citations
19.
Kolliakou, D. & Gosse Bouma. (1997). Valence Alternation without Lexical Rules. Data Archiving and Networked Services (DANS). 25–40.2 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.