David Machín

9.3k citations
144 papers · 4.7k · 2 hit papers · h-index 36

Impact in

Papers in

David Machín

143 papers receiving 4.3k citations

David Machín's Hit Papers

How to Do Critical Discourse Analysis: A Multimodal Introduction 2023 · 161 citations
1610+12+24Years since publication100200300400500

Peers

David Machín
Comparison fields: 5 of 188
  • Communication 716
  • Literature and Literary Theory 1.0k
  • Gender Studies 556
  • Linguistics and Language 211
  • Language and Linguistics 429
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Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by David Machín

Since Specialization
Citations

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

Fields of papers citing papers by David Machín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Machín, 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 David Machín Line = papers co-authored together David Machín links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical Methods in Cancer Research, Vol. II: The Design and Analysis of Cohort Studies.
Hit paper breakdown →
1990568
2
Introduction to Multimodal Analysis
2007253
3 2013235
4
How to Do Critical Discourse Analysis: A Multimodal Introduction
Hit paper breakdown →
2023161
5 2004151
6 2018122
7 2003108
8 2016107
9 2013107
10 2020102
11
Medical Statistics: A Textbook for the Health Sciences
200799
12 201397
13 199392
14 200891
15
Global Media Discourse: a critical introduction
200789
16 200786
17 201878
18
News Production: Theory and Practice
200664
19 201863
20 201061

About David Machín

David Machín is a scholar working on Literature and Literary Theory, Sociology and Political Science, Communication, General Health Professions and Political Science and International Relations, having authored 144 papers that have together received 4.7k indexed citations. Recurring topics across this work include Discourse Analysis in Language Studies (22 papers), Social Media and Politics (11 papers), Media Studies and Communication (10 papers), Digital Communication and Language (8 papers), Romani and Gypsy Studies (7 papers), Literacy, Media, and Education (6 papers), Digital Games and Media (6 papers) and Language, Metaphor, and Cognition (6 papers). The work is most often cited by research in Communication (716 citations), Literature and Literary Theory (1.0k citations), Gender Studies (556 citations), Linguistics and Language (211 citations) and Language and Linguistics (429 citations). David Machín has collaborated with scholars based in United Kingdom, Sweden and China. Frequent co-authors include Per Ledin, Theo van Leeuwen, N. E. Day, N. E. Breslow, Anders Hansen, Andrea Mayr, Michael J. Campbell, Joanna Thornborrow, Gwen Bouvier and Sarah Niblock. Their work appears in journals such as Critical Discourse Studies, Statistics in Medicine, Journal of Language and Politics, Discourse Context & Media and Visual Communication.

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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