Daniel Da Mata

945 citations
33 papers · 552 · h-index 10

Impact in

    • COVID-19 epidemiological studies
    • Regional Economics and Spatial Analysis
    • Fiscal Policy and Economic Growth
    • COVID-19 Pandemic Impacts
    • Economic Growth and Productivity
    • Spatial and Panel Data Analysis

Papers in

Daniel Da Mata

31 papers receiving 516 citations

Peers

Daniel Da Mata
Comparison fields: 5 of 78
  • Modeling and Simulation 62
  • Economics and Econometrics 306
  • Urban Studies 67
  • General Economics, Econometrics and Finance 78
  • Health 29
Replace Nicola Pontarollo with:
Nicola Pontarollo Italy
André Braz Golgher Brazil
Scott Loveridge United States
R. B. Bhagat India
Lewis Abedi Asante Ghana
Tatiane Almeida de Menezes Brazil
Kristina Tobio United States
Hélène Maisonnave France
Nico Pestel Germany
Simone Bertoli France
Daniel Da Mata relative to Nicola Pontarollo Italy Nicola Pontarollo's profile →
Citations per field
00.5×10×14×
Nicola Pontarollo · 1×
Citations per year

Countries citing papers authored by Daniel Da Mata

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Da Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel Da Mata, 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 Da Mata Line = papers co-authored together Daniel Da Mata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020114
2 2006114
3 200570
4 201952
5 202045
6 201836
7 202017
8 200516
9 202010
10 20099
11 20209
12 20169
13 20058
14 20235
15 20215
16 20184
17 20214
18 20073
19 20213
20 20233

About Daniel Da Mata

Daniel Da Mata is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Sociology and Political Science, Urban Studies and General Health Professions, having authored 33 papers that have together received 552 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (10 papers), Regional Economics and Spatial Analysis (5 papers), Natural Resources and Economic Development (4 papers), Economic Growth and Productivity (4 papers), Global trade and economics (3 papers), Taxation and Compliance Studies (3 papers), Mining and Resource Management (3 papers) and Agricultural risk and resilience (2 papers). The work is most often cited by research in Modeling and Simulation (62 citations), Economics and Econometrics (306 citations), Urban Studies (67 citations), General Economics, Econometrics and Finance (78 citations) and Health (29 citations). Daniel Da Mata has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Tiago Cavalcanti, Nicolás Ajzenman, Uwe Deichmann, J. Vernon Henderson, S. Lall, H. G. Wang, Frederik Toscani, Somik V. Lall, Hyoung Gun Wang and Breno Sampaio. Their work appears in journals such as Journal of Development Economics, Journal of Urban Economics, Journal of Economic Growth, Health Economics and Journal of Public Economics.

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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