Daniel Silva

647 citations
68 papers · 366 · h-index 10

Impact in

    • Multilingual Education and Policy
    • Linguistic and Sociocultural Studies
  • Urology top 10%
    • Urinary Bladder and Prostate Research

Papers in

    • Linguistics and Education Research 16
    • Discourse Analysis in Language Studies 7
    • Linguistics and Discourse Analysis 13
    • Cultural, Media, and Literary Studies 6

Daniel Silva

49 papers receiving 349 citations

Peers

Daniel Silva
Comparison fields: 5 of 106
  • Linguistics and Language 58
  • Urology 34
  • Literature and Literary Theory 55
  • Genetics 43
  • Developmental Neuroscience 15
Replace Yunkyoung Cho with:
Yunkyoung Cho South Korea
Robert Lawson United Kingdom
Lisa Taylor United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Silva

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200748
2 201932
3 201231
4 201431
5 201329
6 202019
7 200717
8 202014
9 202211
10 20189
11 20207
12 20187
13 20147
14 20156
15 20176
16 20245
17
A transformação das condições de trabalho enquanto critério para a avaliação da formação em segurança: reflexões e desafios a partir de um estudo de caso
20115
18 20155
19 20195
20 20244

About Daniel Silva

Daniel Silva is a scholar working on Literature and Literary Theory, Philosophy, Language and Linguistics, Linguistics and Language and Sociology and Political Science, having authored 68 papers that have together received 366 indexed citations. Recurring topics across this work include Linguistics and Education Research (16 papers), Linguistics and Discourse Analysis (13 papers), Language, Discourse, Communication Strategies (12 papers), Multilingual Education and Policy (12 papers), Discourse Analysis in Language Studies (7 papers), Cultural, Media, and Literary Studies (6 papers), Linguistic and Sociocultural Studies (5 papers) and Migration, Racism, and Human Rights (4 papers). The work is most often cited by research in Linguistics and Language (58 citations), Urology (34 citations), Literature and Literary Theory (55 citations), Genetics (43 citations) and Developmental Neuroscience (15 citations). Daniel Silva has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Jerry Won Lee, Sophie A. Mills, Lauren Thompson, Amr Ahmed, Manzil Zaheer, John Rose, Andrew McCallum, Alejandro Oyarzún, Nicolás Tobar and Jorge Martı́nez. Their work appears in journals such as Language in Society, Pragmatics and Society, The Prostate, World Englishes and Discourse Context & Media.

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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