Daniel Da Mata

31 papers and 526 indexed citations i.

About

Daniel Da Mata is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Sociology and Political Science. According to data from OpenAlex, Daniel Da Mata has authored 31 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Economics and Econometrics, 8 papers in General Economics, Econometrics and Finance and 6 papers in Sociology and Political Science. Recurrent topics in Daniel Da Mata’s work include Fiscal Policy and Economic Growth (9 papers), Regional Economics and Spatial Analysis (6 papers) and Economic Growth and Productivity (4 papers). Daniel Da Mata is often cited by papers focused on Fiscal Policy and Economic Growth (9 papers), Regional Economics and Spatial Analysis (6 papers) and Economic Growth and Productivity (4 papers). Daniel Da Mata collaborates with scholars based in Brazil, United Kingdom and United States. Daniel Da Mata's 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 Guilherme Resende and has published in prestigious journals such as The Economic Journal, Journal of Public Economics and Journal of Development Economics.

In The Last Decade

Co-authorship network of co-authors of Daniel Da Mata i

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.

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).

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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