Dina Silva

1.9k citations
23 papers · 683 · h-index 14

Impact in

Papers in

Dina Silva

22 papers receiving 666 citations

Peers

Dina Silva
Comparison fields: 5 of 138
  • Psychiatry and Mental health 328
  • Cognitive Neuroscience 190
  • Experimental and Cognitive Psychology 128
  • Health Information Management 43
  • Neuropsychology and Physiological Psychology 14
Replace Miguel A. Fernández‐Blázquez with:
Miguel A. Fernández‐Blázquez Spain
Justin B. Miller United States
Danielle Harvey United States
Shabina Hayat United Kingdom
Marina Ávila‐Villanueva Spain
Guido F. Schauer United States
Jong Bin Bae South Korea
Petronilla Battista Italy
Adriana Seelye United States
Zhuoting Zhu China
Dina Silva relative to Miguel A. Fernández‐Blázquez Spain Miguel A. Fernández‐Blázquez's profile →
Citations per field
00.5×3.6×
Miguel A. Fernández‐Blázquez · 1×
Citations per year

Countries citing papers authored by Dina Silva

Since Specialization
Citations

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

Fields of papers citing papers by Dina Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011295
2 201252
3 201838
4 201437
5 201734
6 201428
7 201227
8 201521
9 201721
10 201321
11 201615
12 201614
13 201814
14 202014
15 201310
16 20098
17 20198
18 20208
19 20196
20 20215

About Dina Silva

Dina Silva is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Experimental and Cognitive Psychology, Physiology and Clinical Psychology, having authored 23 papers that have together received 683 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (16 papers), Cognitive Functions and Memory (7 papers), Alzheimer's disease research and treatments (6 papers), Functional Brain Connectivity Studies (4 papers), Neural and Behavioral Psychology Studies (2 papers), Healthcare Decision-Making and Restraints (2 papers), Machine Learning in Healthcare (2 papers) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Psychiatry and Mental health (328 citations), Cognitive Neuroscience (190 citations), Experimental and Cognitive Psychology (128 citations), Health Information Management (43 citations) and Neuropsychology and Physiological Psychology (14 citations). Dina Silva has collaborated with scholars based in Portugal, Netherlands and Italy. Frequent co-authors include Manuela Guerreiro, Alexandre de Mendonça, João Marôco, Isabel Santana, Ana Pina Rodrigues, Ben Schmand, Sara C. Madeira, Tiago Mendes, Sara Coelho and Fabio Paglieri. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Clinical and Experimental Neuropsychology, BMC Medical Informatics and Decision Making, Multiple Sclerosis and Related Disorders and Journal of Psychiatric Research.

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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