Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development

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This paper, published in 1950, received 19 indexed citations. Written by Buhari Doğan, Sunil Tiwari, Brahim Bergougui, Sudeshna Ghosh and Daniel Balsalobre‐Lorente covering the research area of Economics and Econometrics. It is primarily cited by scholars working on Economics and Econometrics (13 citations), Renewable Energy, Sustainability and the Environment (6 citations) and Environmental Engineering (4 citations). Published in Sustainable Development.

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doi.org/10.1002/sd.3464 →

Countries where authors are citing Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development

Since Specialization
Citations

This map shows the geographic impact of Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development. 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 Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development more than expected).

Fields of papers citing Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Green Innovation and Fiscal Spending: Decoding the Path to Sustainable Development.

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.

This paper is also available at doi.org/10.1002/sd.3464.

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