Søren Wichmann

5.5k total citations · 1 hit paper
125 papers, 2.1k citations indexed

About

Søren Wichmann is a scholar working on Cultural Studies, Language and Linguistics and Linguistics and Language. According to data from OpenAlex, Søren Wichmann has authored 125 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cultural Studies, 46 papers in Language and Linguistics and 43 papers in Linguistics and Language. Recurrent topics in Søren Wichmann's work include Language and cultural evolution (53 papers), Linguistic Variation and Morphology (42 papers) and Spanish Linguistics and Language Studies (23 papers). Søren Wichmann is often cited by papers focused on Language and cultural evolution (53 papers), Linguistic Variation and Morphology (42 papers) and Spanish Linguistics and Language Studies (23 papers). Søren Wichmann collaborates with scholars based in Germany, United States and Netherlands. Søren Wichmann's co-authors include Eric W. Holman, Cecil H. Brown, Viveka Velupillai, Harald Hammarström, Dik Bakker, Damián E. Blasí, Morten H. Christiansen, Peter F. Stadler, André Müller and Christian Schulze and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Søren Wichmann

113 papers receiving 1.9k citations

Hit Papers

Sound–meaning association biases evidenced across thousan... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Søren Wichmann Germany 26 906 594 520 491 467 125 2.1k
Lyle Campbell United States 25 560 0.6× 1.2k 2.0× 1.8k 3.5× 432 0.9× 634 1.4× 103 3.1k
Cecil H. Brown United States 23 445 0.5× 314 0.5× 428 0.8× 249 0.5× 567 1.2× 81 1.9k
Johanna Nichols United States 21 533 0.6× 816 1.4× 1.2k 2.4× 354 0.7× 440 0.9× 80 2.0k
Johann‐Mattis List Germany 24 903 1.0× 427 0.7× 467 0.9× 775 1.6× 304 0.7× 113 1.7k
Simon J. Greenhill Germany 32 2.2k 2.5× 932 1.6× 798 1.5× 670 1.4× 645 1.4× 85 4.1k
Terrence Kaufman United States 15 259 0.3× 885 1.5× 1.1k 2.1× 164 0.3× 315 0.7× 35 1.7k
Nicholas Evans Australia 23 670 0.7× 767 1.3× 1.4k 2.7× 407 0.8× 1.0k 2.2× 98 2.8k
Thomas A. Sebeok United States 25 356 0.4× 251 0.4× 741 1.4× 179 0.4× 629 1.3× 156 2.9k
William Bright United States 18 131 0.1× 483 0.8× 619 1.2× 231 0.5× 359 0.8× 136 1.6k
Jean Aitchison United Kingdom 16 162 0.2× 353 0.6× 1.2k 2.2× 595 1.2× 603 1.3× 65 2.3k

Countries citing papers authored by Søren Wichmann

Since Specialization
Citations

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

Fields of papers citing papers by Søren Wichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Søren Wichmann

This figure shows the co-authorship network connecting the top 25 collaborators of Søren Wichmann. A scholar is included among the top collaborators of Søren Wichmann 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 Søren Wichmann. Søren Wichmann 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.
Wang, Lining, et al.. (2023). Languages in China link climate, voice quality, and tone in a causal chain. Humanities and Social Sciences Communications. 10(1). 4 indexed citations
2.
Wichmann, Søren, et al.. (2023). Temperature shapes language sonority: Revalidation from a large dataset. PNAS Nexus. 2(12). pgad384–pgad384. 4 indexed citations
3.
Barbieri, Chiara, Damián E. Blasí, Alexandros G. Sotiropoulos, et al.. (2022). A global analysis of matches and mismatches between human genetic and linguistic histories. Proceedings of the National Academy of Sciences. 119(47). e2122084119–e2122084119. 14 indexed citations
4.
Strunk, Jan, Frank Seifart, Swintha Danielsen, et al.. (2020). Determinants of phonetic word duration in ten language documentation corpora: Word frequency, complexity, position, and part of speech. Leiden Repository (Leiden University). 4 indexed citations
5.
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
6.
Rama, Taraka & Søren Wichmann. (2018). Identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies. Leiden Repository (Leiden University). 1578–1590. 3 indexed citations
7.
Wichmann, Søren & Taraka Rama. (2018). Jackknifing the Black Sheep : ASJP Classification Performance and Austronesian. Leiden Repository (Leiden University). 98(98). 39–58. 4 indexed citations
8.
Holman, Eric W., et al.. (2015). Diffusion and inheritance of language and culture: A comparative perspective. Social Evolution & History. 14(1). 49–64. 7 indexed citations
9.
Neugschwandtner, Reinhard W., et al.. (2013). Chickpea Performance Compared to Pea, Barley and Oat in Central Europe: Growth Analysis and Yield. DergiPark (Istanbul University). 20 indexed citations
10.
Wichmann, Søren, et al.. (2008). Longitud vocálica y globalización en la escritura jeroglífica náhuatl. Complutensian Scientific Journals (Complutense University of Madrid). 4 indexed citations
11.
Holman, Eric W., Søren Wichmann, Cecil H. Brown, et al.. (2008). Advances in automated language classification. UvA-DARE (University of Amsterdam). 40–43. 12 indexed citations
12.
Wichmann, Søren, et al.. (2007). Studies in voice and transitivity (Estudios de voz y transitividad). 2 indexed citations
13.
Chamoreau, Claudine, et al.. (2007). Studies in voice and transitivity. HAL (Le Centre pour la Communication Scientifique Directe). 230. 6 indexed citations
14.
Wichmann, Søren. (2006). [Review of]"Alte" Sprachen : Beiträge zum Bremer Kolloquium über "Alte Sprachen und Sprachstufen" (Bremen, Sommersemester 2003) / hrsg. von Thomas Stolz. - Bochum : Brockmeyer, 2004. Max Planck Institute for Plasma Physics. 56(3). 1 indexed citations
15.
Wichmann, Søren. (2006). [Review of]Linguistics today - facing a greater challenge ; [typology, endangered languages, methodology and linguistics, language and the mind]/ ed. by Piet van Sterkenburg. - Amsterdam [u.a.] : Benjamins Publ., 2004. Acta Linguistica Hafniensia. 37. 243–250. 2 indexed citations
16.
Wichmann, Søren & Cecil H. Brown. (2003). Contact among some Mayan languages: inferences from loanwords. Anthropological linguistics. 45(1). 57–93. 14 indexed citations
17.
Wichmann, Søren. (2003). The grammaticalization and reanalysis of a paradigm of auxiliaries in Texistepec Popoluca: A case study in diachronic adaptation. Max Planck Institute for Plasma Physics. 16(16). 161–184. 3 indexed citations
20.
Wichmann, Søren. (1995). The relationship among the Mixe-Zoquean languages of Mexico. Research at the University of Copenhagen (University of Copenhagen). 45 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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