Michaela Mahlberg

2.0k total citations
33 papers, 565 citations indexed

About

Michaela Mahlberg is a scholar working on Language and Linguistics, Literature and Literary Theory and Experimental and Cognitive Psychology. According to data from OpenAlex, Michaela Mahlberg has authored 33 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Language and Linguistics, 16 papers in Literature and Literary Theory and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Michaela Mahlberg's work include Lexicography and Language Studies (13 papers), Discourse Analysis in Language Studies (13 papers) and Language, Metaphor, and Cognition (10 papers). Michaela Mahlberg is often cited by papers focused on Lexicography and Language Studies (13 papers), Discourse Analysis in Language Studies (13 papers) and Language, Metaphor, and Cognition (10 papers). Michaela Mahlberg collaborates with scholars based in United Kingdom, United States and Brazil. Michaela Mahlberg's co-authors include Peter Stockwell, Catherine Smith, Dan McIntyre, Matthew Brook O’Donnell, Jesse Egbert, Geoff Barnbrook, Mike Scott, Michael Hoey, Kathy Conklin and Marie‐Josée Bisson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Linguistics and Preventive Veterinary Medicine.

In The Last Decade

Michaela Mahlberg

31 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Mahlberg United Kingdom 14 269 251 197 162 76 33 565
Kieran O’Halloran United Kingdom 14 235 0.9× 324 1.3× 173 0.9× 78 0.5× 68 0.9× 46 578
Mick Short United Kingdom 12 331 1.2× 353 1.4× 347 1.8× 80 0.5× 63 0.8× 29 680
Elly Ifantidou Greece 9 346 1.3× 219 0.9× 220 1.1× 64 0.4× 62 0.8× 21 553
M. H. Short Algeria 10 325 1.2× 306 1.2× 256 1.3× 94 0.6× 40 0.5× 20 646
Eija Ventola Finland 14 325 1.2× 371 1.5× 170 0.9× 66 0.4× 59 0.8× 24 576
Kirsten Malmkjær United Kingdom 15 530 2.0× 216 0.9× 148 0.8× 194 1.2× 179 2.4× 29 775
Lesley Jeffries United Kingdom 12 178 0.7× 224 0.9× 162 0.8× 58 0.4× 32 0.4× 32 463
Elena Tognini-Bonelli Czechia 7 559 2.1× 297 1.2× 168 0.9× 320 2.0× 179 2.4× 9 905
Clare Painter Australia 9 287 1.1× 325 1.3× 109 0.6× 43 0.3× 111 1.5× 10 561
Joan Cutting United Kingdom 10 350 1.3× 187 0.7× 144 0.7× 52 0.3× 85 1.1× 16 527

Countries citing papers authored by Michaela Mahlberg

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Mahlberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Mahlberg

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Mahlberg. A scholar is included among the top collaborators of Michaela Mahlberg 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 Michaela Mahlberg. Michaela Mahlberg 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.
Moran, Dominique, et al.. (2023). Defining the Carceral Characteristics of the ‘Dickensian prison’: A Corpus Stylistics Analysis of Dickens’s Novels. University of Birmingham Research Portal (University of Birmingham). 13(1). 15–41. 2 indexed citations
2.
Mahlberg, Michaela, et al.. (2022). Gendered body language in children’s literature over time. Language and Literature International Journal of Stylistics. 31(1). 11–40. 2 indexed citations
3.
Mahlberg, Michaela, et al.. (2020). Estilística de corpus: uma ponte entre os estudos linguísticos e literários. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 9 indexed citations
4.
Fuoli, Matteo, et al.. (2020). Responding Effectively to Customer Feedback on Twitter: A Mixed Methods Study of Webcare Styles. Applied Linguistics. 42(3). 569–595. 18 indexed citations
5.
Mahlberg, Michaela, et al.. (2020). Estilística de corpus: uma ponte entre os estudos linguísticos e literários. SHILAP Revista de lepidopterología. 17(1). 4430–4452. 1 indexed citations
6.
Egbert, Jesse & Michaela Mahlberg. (2020). Fiction – one register or two?. University of Birmingham Research Portal (University of Birmingham). 2(1). 72–101. 15 indexed citations
7.
Mahlberg, Michaela, et al.. (2020). Gender inequality and female body language in children’s literature. Digital Scholarship in the Humanities. 36(Supplement_2). ii72–ii77. 4 indexed citations
8.
Mahlberg, Michaela, et al.. (2017). Corpus Linguistics in Action: The Fireplace Pose in 19th Century Fiction. 1 indexed citations
9.
Huntley, Selene, et al.. (2017). Analysing the opinions of UK veterinarians on practice-based research using corpus linguistic and mathematical methods. Preventive Veterinary Medicine. 150. 60–69. 6 indexed citations
10.
Mahlberg, Michaela, Peter Stockwell, Johan de Joode, Catherine Smith, & Matthew Brook O’Donnell. (2016). CLiC Dickens: novel uses of concordances for the integration of corpus stylistics and cognitive poetics. Corpora. 11(3). 433–463. 23 indexed citations
11.
Stockwell, Peter & Michaela Mahlberg. (2015). Mind-modelling with corpus stylistics inDavid Copperfield. Language and Literature International Journal of Stylistics. 24(2). 129–147. 33 indexed citations
12.
Mahlberg, Michaela, Kathy Conklin, & Marie‐Josée Bisson. (2014). Reading Dickens’s characters: Employing psycholinguistic methods to investigate the cognitive reality of patterns in texts. Language and Literature International Journal of Stylistics. 23(4). 369–388. 19 indexed citations
13.
Mahlberg, Michaela, Catherine Smith, & Simon Preston. (2013). Phrases in literary contexts. International Journal of Corpus Linguistics. 35–56. 8 indexed citations
14.
O’Donnell, Matthew Brook, Mike Scott, Michaela Mahlberg, & Michael Hoey. (2012). Exploring text-initial words, clusters and concgrams in a newspaper corpus. Corpus Linguistics and Linguistic Theory. 8(1). 73–101. 22 indexed citations
15.
Mahlberg, Michaela, et al.. (2009). Proceedings of the Corpus Linguistics Conference 2009 (CL2009). Dialnet (Universidad de la Rioja). 784. 147118–147118. 30 indexed citations
16.
Mahlberg, Michaela. (2009). Local textual functions of move in newspaper story patterns. 265–287. 4 indexed citations
17.
Mahlberg, Michaela & Matthew Brook O’Donnell. (2008). A fresh view of the structure of hard news stories. Publications of the UdS (Saarland University). 8 indexed citations
18.
Mahlberg, Michaela. (2006). Corpus linguistic theory and its application in English language teachings. International Journal of Corpus Linguistics. 11(3). 227–247. 4 indexed citations
19.
Barnbrook, Geoff, et al.. (2006). Meaningful texts : the extraction of semantic information from monolingual and multilingual corpora. Continuum eBooks. 21 indexed citations
20.
Mahlberg, Michaela. (2003). The textlinguistic dimension of corpus linguistics. International Journal of Corpus Linguistics. 97–108. 7 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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