Sina T. Ates

28 total papers · 792 total citations
17 papers, 253 citations indexed

About

Sina T. Ates is a scholar working on Economics and Econometrics, Accounting and General Economics, Econometrics and Finance. According to data from OpenAlex, Sina T. Ates has authored 17 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 8 papers in Accounting and 5 papers in General Economics, Econometrics and Finance. Recurrent topics in Sina T. Ates's work include Economic Growth and Productivity (9 papers), Firm Innovation and Growth (8 papers) and Private Equity and Venture Capital (4 papers). Sina T. Ates is often cited by papers focused on Economic Growth and Productivity (9 papers), Firm Innovation and Growth (8 papers) and Private Equity and Venture Capital (4 papers). Sina T. Ates collaborates with scholars based in United States, U.S. Virgin Islands and United Kingdom. Sina T. Ates's co-authors include Ufuk Akcigit, Richard Townsend, Josh Lerner and Giammario Impullitti and has published in prestigious journals such as Journal of Political Economy, Journal of Monetary Economics and American Economic Journal Macroeconomics.

In The Last Decade

Sina T. Ates

17 papers receiving 233 citations

Author Peers

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

Author Last Decade Papers Cites
Sina T. Ates 203 83 55 34 32 17 253
Jan M. Podivinsky 166 0.8× 79 1.0× 37 0.7× 59 1.7× 39 1.2× 25 231
Matthew Rafferty 179 0.9× 43 0.5× 156 2.8× 60 1.8× 58 1.8× 15 295
Hiroki Kawai 145 0.7× 138 1.7× 54 1.0× 26 0.8× 134 4.2× 10 246
Lucy Qian Liu 170 0.8× 92 1.1× 31 0.6× 58 1.7× 34 1.1× 25 243
Margherita Velucchi 246 1.2× 109 1.3× 52 0.9× 122 3.6× 71 2.2× 18 304
Péter Gál 99 0.5× 42 0.5× 23 0.4× 19 0.6× 22 0.7× 13 156
Massimiliano Iommi 182 0.9× 53 0.6× 41 0.7× 24 0.7× 92 2.9× 11 264
Hernán Moscoso Boedo 211 1.0× 102 1.2× 59 1.1× 24 0.7× 11 0.3× 13 240
Maximiliano Appendino 114 0.6× 122 1.5× 31 0.6× 58 1.7× 41 1.3× 14 221
Murat Alp Celik 203 1.0× 30 0.4× 96 1.7× 22 0.6× 54 1.7× 18 281

Countries citing papers authored by Sina T. Ates

Since Specialization
Citations

This map shows the geographic impact of Sina T. Ates'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 Sina T. Ates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina T. Ates more than expected).

Fields of papers citing papers by Sina T. Ates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sina T. Ates. 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 Sina T. Ates. The network helps show where Sina T. Ates may publish in the future.

Co-authorship network of co-authors of Sina T. Ates

This figure shows the co-authorship network connecting the top 25 collaborators of Sina T. Ates. A scholar is included among the top collaborators of Sina T. Ates 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 Sina T. Ates. Sina T. Ates 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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