Hedvig Skirgård

613 total citations
11 papers, 117 citations indexed

About

Hedvig Skirgård is a scholar working on Cultural Studies, Linguistics and Language and Artificial Intelligence. According to data from OpenAlex, Hedvig Skirgård has authored 11 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cultural Studies, 5 papers in Linguistics and Language and 3 papers in Artificial Intelligence. Recurrent topics in Hedvig Skirgård's work include Language and cultural evolution (8 papers), Linguistic Variation and Morphology (4 papers) and Natural Language Processing Techniques (3 papers). Hedvig Skirgård is often cited by papers focused on Language and cultural evolution (8 papers), Linguistic Variation and Morphology (4 papers) and Natural Language Processing Techniques (3 papers). Hedvig Skirgård collaborates with scholars based in Germany, New Zealand and United States. Hedvig Skirgård's co-authors include Simon J. Greenhill, Xia Hua, Lindell Bromham, Russell Dinnage, Andrew M. Ritchie, Marcel Cardillo, Felicity Meakins, Seán G. Roberts, Damián E. Blasí and Russell D. Gray and has published in prestigious journals such as PLoS ONE, Scientific Reports and Science Advances.

In The Last Decade

Hedvig Skirgård

10 papers receiving 110 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hedvig Skirgård Germany	5	51	45	28	22	20	11	117
Oleg Belyaev Russia	5	52 1.0×	48 1.1×	54 1.9×	40 1.8×	14 0.7×	13	134
Cassandra Algy Australia	7	34 0.7×	70 1.6×	36 1.3×	13 0.6×	44 2.2×	11	114
Christoph Rzymski Germany	5	83 1.6×	30 0.7×	41 1.5×	79 3.6×	27 1.4×	14	154
Damon Mayaffre France	7	31 0.6×	50 1.1×	36 1.3×	47 2.1×	11 0.6×	46	191
Rik van Gijn Netherlands	7	35 0.7×	62 1.4×	78 2.8×	25 1.1×	37 1.9×	32	129
Gereon A. Kaiping Netherlands	6	89 1.7×	41 0.9×	41 1.5×	68 3.1×	20 1.0×	11	161
Kaius Sinnemäki Finland	9	79 1.5×	71 1.6×	119 4.3×	49 2.2×	33 1.6×	19	189
Wolf Dietrich Germany	7	47 0.9×	29 0.6×	104 3.7×	22 1.0×	31 1.6×	29	148
Thiago Costa Chacon Brazil	7	52 1.0×	45 1.0×	60 2.1×	31 1.4×	21 1.1×	18	126
Gabriela Dalla Corte United States	10	34 0.7×	69 1.5×	90 3.2×	42 1.9×	76 3.8×	63	189

Countries citing papers authored by Hedvig Skirgård

Since Specialization

Citations

This map shows the geographic impact of Hedvig Skirgård'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 Hedvig Skirgård with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hedvig Skirgård more than expected).

Fields of papers citing papers by Hedvig Skirgård

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hedvig Skirgård. 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 Hedvig Skirgård. The network helps show where Hedvig Skirgård may publish in the future.

Co-authorship network of co-authors of Hedvig Skirgård

This figure shows the co-authorship network connecting the top 25 collaborators of Hedvig Skirgård. A scholar is included among the top collaborators of Hedvig Skirgård 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 Hedvig Skirgård. Hedvig Skirgård is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Chousou‐Polydouri, Natalia, et al.. (2025). Curating global datasets of structural linguistic features for independence. Scientific Data. 12(1). 106–106. 1 indexed citations

2.

Verkerk, Annemarie, Hannah J. Haynie, Hedvig Skirgård, et al.. (2025). Enduring constraints on grammar revealed by Bayesian spatiophylogenetic analyses. Nature Human Behaviour. 10(1). 126–136.

3.

Blasí, Damián E., et al.. (2024). The evolutionary dynamics of how languages signal who does what to whom. Scientific Reports. 14(1). 7259–7259. 4 indexed citations

4.

Skirgård, Hedvig. (2024). Disentangling Ancestral State Reconstruction in historical linguistics. Diachronica. 41(1). 46–98. 2 indexed citations

5.

Michaelis, Susanne Maria, Hannah J. Haynie, Sam Passmore, et al.. (2023). Societies of strangers do not speak less complex languages. Science Advances. 9(33). eadf7704–eadf7704. 19 indexed citations

6.

Haynie, Hannah J., Damián E. Blasí, Hedvig Skirgård, et al.. (2023). Grambank’s Typological Advances Support Computational Research on Diverse Languages. 147–149. 1 indexed citations

7.

Norder, Sietze J., et al.. (2022). glottospace: R package for language mapping andgeospatial analysis of linguistic and cultural data. The Journal of Open Source Software. 7(77). 4303–4303. 8 indexed citations

8.

Gast, Volker, et al.. (2022). A quantitative global test of the complexity trade-off hypothesis: the case of nominal and verbal grammatical marking. Linguistics Vanguard. 9(s1). 155–167. 5 indexed citations

9.

Bromham, Lindell, Russell Dinnage, Hedvig Skirgård, et al.. (2021). Global predictors of language endangerment and the future of linguistic diversity. Nature Ecology & Evolution. 6(2). 163–173. 65 indexed citations

10.

Skirgård, Hedvig, et al.. (2017). Why are some languages confused for others? Investigating data from the Great Language Game. PLoS ONE. 12(4). e0165934–e0165934. 11 indexed citations

11.

Skirgård, Hedvig. (2013). Français Tirailleur Pidgin: A corpus study.. 1 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.

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