Daniel Silva

661 citations
75 papers · 423 · h-index 10

Impact in

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

Papers in

Daniel Silva

53 papers receiving 397 citations

Peers

Daniel Silva
Comparison fields: 5 of 97
  • Linguistics and Language 67
  • Urology 34
  • Literature and Literary Theory 65
  • Genetics 44
  • Language and Linguistics 46
Replace Yunkyoung Cho with:
Yunkyoung Cho South Korea
Robert Lawson United Kingdom
Sachiko Matsunaga United States
Anna Camps Spain
Benjamin Spector France
Glenn M. Davis United States
Paul Andrews Sweden
Mattias Ekman Sweden
David O’Brien United States
Paolo Acquaviva France
Daniel Silva relative to Yunkyoung Cho South Korea Yunkyoung Cho's profile →
Citations per field
00.5×10×17×
Yunkyoung Cho · 1×
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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200758
2 201936
3 201334
4 201233
5 201432
6 202021
7 200717
8 202015
9 202212
10 201810
11 20178
12 20148
13 20207
14 20207
15 20156
16 20156
17 20216
18 20206
19 20245
20 20205

About Daniel Silva

Daniel Silva is a scholar working on Language and Linguistics, Literature and Literary Theory, Philosophy, Linguistics and Language and Sociology and Political Science, having authored 75 papers that have together received 423 indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (14 papers), Linguistics and Education Research (13 papers), Multilingual Education and Policy (13 papers), Linguistics and Discourse Analysis (13 papers), Discourse Analysis in Language Studies (6 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 (67 citations), Urology (34 citations), Literature and Literary Theory (65 citations), Genetics (44 citations) and Language and Linguistics (46 citations). Daniel Silva has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Jerry Won Lee, Sophie A. Mills, John Rose, Lauren Thompson, Amr Ahmed, Andrew McCallum, Manzil Zaheer, Patricio C. Smith, Jorge Martı́nez and Alejandro Oyarzún. Their work appears in journals such as Pragmatics & beyond. New series, Pragmatics and Society, Language in Society, Gender and Language and International Journal of the Sociology of Language.

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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