Matthew Townend

936 citations
19 papers · 218 · h-index 6

Impact in

Papers in

Matthew Townend

14 papers receiving 208 citations

Peers

Matthew Townend
Comparison fields: 5 of 61
  • Health Informatics 19
  • Classics 38
  • Linguistics and Language 45
  • Language and Linguistics 56
  • History 26
Replace Hiroki Nomoto with:
Hiroki Nomoto Japan
Mark Janse Belgium
Jacqueline Vaissière France
Christine Meunier France
Christina M. Esposito United States
Sonja Tiemann Germany
Benjamin Charlier France
Bernhard Rohrbacher United States
Zhijian Yang United States
Fabian Eitel Germany
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Townend

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Townend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Matthew Townend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Townend Line = papers co-authored together Matthew Townend links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202261
2 202137
3 200237
4
Language and History in Viking Age England : Linguistic Relations Between Speakers of Old Norse and Old English
200228
5 202219
6 202411
7 20005
8 20015
9 20233
10
Viking Age Yorkshire
20143
11 20053
12
Whatever Happened to York Viking Poetry? Memory, Tradition and the Transmission of Skaldic Verse
20032
13 20251
14 20031
15 20011
16 20001
17
Óttarr svarti, Knútsdrápa
20120
18 20240
19 20240

About Matthew Townend

Matthew Townend is a scholar working on Radiology, Nuclear Medicine and Imaging, History, Artificial Intelligence, Language and Linguistics and Classics, having authored 19 papers that have together received 218 indexed citations. Recurring topics across this work include Historical and Archaeological Studies (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Linguistics and language evolution (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Linguistic Variation and Morphology (3 papers), Medieval Literature and History (3 papers), AI in cancer detection (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (19 citations), Classics (38 citations), Linguistics and Language (45 citations), Language and Linguistics (56 citations) and History (26 citations). Matthew Townend has collaborated with scholars based in United Kingdom, Lithuania and Canada. Frequent co-authors include Sébastien Ourselin, David Wood, Gareth J. Barker, Thomas C. Booth, James H. Cole, Jeremy Lynch, Asif Mazumder, Siddharth Agarwal, Naveen Gadapa and Juveria Siddiqui. Their work appears in journals such as European Radiology, Notes and Queries, The Review of English Studies, NeuroImage and Human Brain Mapping.

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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