Frederik Toscani

48 total papers · 436 total citations
33 papers, 256 citations indexed

About

Frederik Toscani is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Frederik Toscani has authored 33 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 13 papers in General Economics, Econometrics and Finance and 4 papers in Finance. Recurrent topics in Frederik Toscani's work include Natural Resources and Economic Development (8 papers), Unemployment and Economic Growth (4 papers) and Mining and Resource Management (4 papers). Frederik Toscani is often cited by papers focused on Natural Resources and Economic Development (8 papers), Unemployment and Economic Growth (4 papers) and Mining and Resource Management (4 papers). Frederik Toscani collaborates with scholars based in United States, United Kingdom and Brazil. Frederik Toscani's co-authors include Daniel Da Mata, Tiago Cavalcanti, Gabriel Di Bella, Martin Stuermer, Frederick van der Ploeg, Rabah Arezki, Elva Bova, Marta Ruiz-Arranz, Valentina Flamini and Antonio David and has published in prestigious journals such as Energy Economics, Journal of Development Economics and Journal of Economic Growth.

In The Last Decade

Frederik Toscani

28 papers receiving 221 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frederik Toscani 140 97 56 36 33 33 256
Mohammed Moosa Ageli 185 1.3× 91 0.9× 70 1.3× 7 0.2× 37 1.1× 27 272
Lindsay Hogan 85 0.6× 44 0.5× 42 0.8× 9 0.3× 29 0.9× 23 178
Jahangir Amuzegar 108 0.8× 93 1.0× 30 0.5× 17 0.5× 11 0.3× 47 320
Daniel Spiro 131 0.9× 38 0.4× 66 1.2× 11 0.3× 8 0.2× 27 279
Robert Mabro 164 1.2× 135 1.4× 126 2.3× 49 1.4× 13 0.4× 44 325
Richard Dutu 109 0.8× 70 0.7× 30 0.5× 10 0.3× 9 0.3× 21 213
Charles R. Blitzer 166 1.2× 85 0.9× 63 1.1× 8 0.2× 4 0.1× 26 266
Sohbet Karbuz 179 1.3× 49 0.5× 121 2.2× 24 0.7× 8 0.2× 31 281
Prince Boakye Frimpong 201 1.4× 47 0.5× 81 1.4× 4 0.1× 11 0.3× 26 286
Gbadebo Odularu 171 1.2× 60 0.6× 123 2.2× 7 0.2× 4 0.1× 33 302

Countries citing papers authored by Frederik Toscani

Since Specialization
Citations

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

Fields of papers citing papers by Frederik Toscani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederik Toscani

This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Toscani. A scholar is included among the top collaborators of Frederik Toscani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frederik Toscani. Frederik Toscani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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