Sandra Silva

1.0k citations
43 papers · 533 · h-index 13

Impact in

Papers in

Sandra Silva

40 papers receiving 495 citations

Peers

Sandra Silva
Comparison fields: 5 of 96
  • Economics and Econometrics 286
  • General Economics, Econometrics and Finance 57
  • Business and International Management 11
  • Demography 50
  • Management of Technology and Innovation 29
Replace Márcio Cruz with:
Márcio Cruz Brazil
Saugato Datta United States
Isis Gaddis United States
Hans Löfgren United States
Francesca Lamanna United States
Sébastien Breau Canada
Rolph van der Hoeven Switzerland
Rob Clark United States
Sharmistha Self United States
Neil Bania United States
Sandra Silva relative to Márcio Cruz Brazil Márcio Cruz's profile →
Citations per field
00.5×1.5×
Márcio Cruz · 1×
Citations per year

Countries citing papers authored by Sandra Silva

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 201569
3 200844
4 201629
5 199527
6 202027
7 202125
8 200819
9 201517
10 201617
11 201314
12 201413
13 201713
14 201312
15 200812
16 201711
17 201511
18 201710
19 20119
20 20199

About Sandra Silva

Sandra Silva is a scholar working on Economics and Econometrics, Sociology and Political Science, General Health Professions, Management, Monitoring, Policy and Law and Strategy and Management, having authored 43 papers that have together received 533 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (9 papers), Economic Growth and Productivity (8 papers), Firm Innovation and Growth (6 papers), Economic theories and models (5 papers), Global Health Care Issues (5 papers), Income, Poverty, and Inequality (5 papers), Sustainable Development and Environmental Policy (4 papers) and Innovation Policy and R&D (3 papers). The work is most often cited by research in Economics and Econometrics (286 citations), General Economics, Econometrics and Finance (57 citations), Business and International Management (11 citations), Demography (50 citations) and Management of Technology and Innovation (29 citations). Sandra Silva has collaborated with scholars based in Portugal, United States and Costa Rica. Frequent co-authors include Aurora A.C. Teixeira, Pedro Cunha Neves, Óscar Afonso, J. W. Armstrong, Lori Anderson, Katie A. Miller, Patrícia Silva, Laura Horne, Elena Sochirca and Ana M. Silva. Their work appears in journals such as Journal of Evolutionary Economics, Economic Modelling, European Journal of Development Research, Health Education & Behavior and Population Research and Policy Review.

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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