This map shows the geographic impact of Dirk Speelman'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 Dirk Speelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Speelman more than expected).
This network shows the impact of papers produced by Dirk Speelman. 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 Dirk Speelman. The network helps show where Dirk Speelman may publish in the future.
Co-authorship network of co-authors of Dirk Speelman
This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Speelman.
A scholar is included among the top collaborators of Dirk Speelman 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 Dirk Speelman. Dirk Speelman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Speelman, Dirk, et al.. (2019). How can we determine at what level of abstraction lectal predictors operate? A case study of the alternation(s) between the Dutch direct and prepositional object. Lirias (KU Leuven).1 indexed citations
Speelman, Dirk, et al.. (2016). Indirect and direct measurement of attitudes toward regional varieties of Italian: a change in standard language ideology?. Lirias (KU Leuven).1 indexed citations
9.
Speelman, Dirk, et al.. (2014). Analyse de positionnement multidimensionnel sur le corpus spécialisé TALN. Lirias (KU Leuven).1 indexed citations
10.
Speelman, Dirk. (2014). Logistic regression: A confirmatory technique for comparisons in corpus linguistics. Lirias (KU Leuven).25 indexed citations
11.
Heylen, Kris, et al.. (2012). The prevalence of multiword term candidates in a legal corpus. Lirias (KU Leuven). 283–290.1 indexed citations
12.
Heylen, Kris, Dirk Speelman, & Dirk Geeraerts. (2012). Looking at word meaning. An interactive visualization of Semantic Vector Spaces for Dutch synsets. Lirias (KU Leuven). 16–24.12 indexed citations
13.
Nerbonne, John, et al.. (2011). Production, Perception and Attitude.. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–8.1 indexed citations
14.
Heylen, Kris, et al.. (2010). A variational linguistics approach to term extraction. Lirias (KU Leuven). 229–248.1 indexed citations
15.
Speelman, Dirk, et al.. (2010). La corrélation entre la spécificité et la sémantique dans un corpus spécialisé. Lirias (KU Leuven). 27(27). 79–104.1 indexed citations
16.
Sutter, Gert De, Dirk Speelman, & Dirk Geeraerts. (2005). Regionale en stilistische effecten op de woordvolgorde in werkwoordelijke eindgroepen. Ghent University Academic Bibliography (Ghent University).11 indexed citations
17.
Sutter, Gert De, Dirk Speelman, Dirk Geeraerts, & Stefan Grondelaers. (2003). Woordvolgordevariatie in tweeledige werkwoordelijke eindgroepen. Naar een statistische evaluatie van zes factoren. Ghent University Academic Bibliography (Ghent University).1 indexed citations
18.
Grondelaers, Stefan, Dirk Geeraerts, Dirk Speelman, & José Tummers. (2001). Lexical standardisation in internet conversations: comparing Belgium and the Netherlands. Lirias (KU Leuven).1 indexed citations
19.
Grondelaers, Stefan, et al.. (2001). Inhoudswoorden en preposities als standaardiseringsindicatoren: de diachrone en synchrone status van het Belgische Nederlands. Data Archiving and Networked Services (DANS). 3(6). 179–202.13 indexed citations
20.
Grondelaers, Stefan, et al.. (2000). DigiTaal: het CONDIV-corpus geschreven Nederlands. Ghent University Academic Bibliography (Ghent University). 5(4). 356–363.29 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.