Natalia Ramondo

59 total papers · 1.2k total citations
21 papers, 525 citations indexed

About

Natalia Ramondo is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Natalia Ramondo has authored 21 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Economics, Econometrics and Finance, 17 papers in Economics and Econometrics and 11 papers in Strategy and Management. Recurrent topics in Natalia Ramondo's work include Global trade and economics (18 papers), International Business and FDI (8 papers) and Economic Growth and Productivity (7 papers). Natalia Ramondo is often cited by papers focused on Global trade and economics (18 papers), International Business and FDI (8 papers) and Economic Growth and Productivity (7 papers). Natalia Ramondo collaborates with scholars based in United States, United Kingdom and Norway. Natalia Ramondo's co-authors include Andrés Rodrı́guez-Clare, Costas Arkolakis, Stephen Yeaple, Veronica Rappoport, Kim J. Ruhl, Milagro Saborío‐Rodríguez, Felix Tintelnot, Andreas Moxnes, Lindsay Oldenski and Javier Cravino and has published in prestigious journals such as American Economic Review, Journal of Political Economy and Journal of International Economics.

In The Last Decade

Natalia Ramondo

20 papers receiving 502 citations

Author Peers

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

Author Last Decade Papers Cites
Natalia Ramondo 391 371 234 71 37 21 525
Luca David Opromolla 354 0.9× 392 1.1× 257 1.1× 57 0.8× 44 1.2× 29 530
Grégory Corcos 348 0.9× 477 1.3× 316 1.4× 70 1.0× 96 2.6× 13 576
Ryuhei Wakasugi 319 0.8× 276 0.7× 355 1.5× 66 0.9× 26 0.7× 38 549
Homi Katrak 459 1.2× 299 0.8× 220 0.9× 109 1.5× 21 0.6× 33 588
Alexandre Skiba 367 0.9× 496 1.3× 260 1.1× 25 0.4× 59 1.6× 20 608
Daniela Maggioni 413 1.1× 341 0.9× 318 1.4× 50 0.7× 23 0.6× 38 618
Hector Calvo-Pardo 251 0.6× 286 0.8× 198 0.8× 62 0.9× 82 2.2× 28 447
Karen Helene Ulltveit‐Moe 473 1.2× 339 0.9× 185 0.8× 78 1.1× 42 1.1× 26 606
P.J.N. Sinclair 401 1.0× 284 0.8× 192 0.8× 50 0.7× 128 3.5× 23 593
Bruno Merlevede 320 0.8× 227 0.6× 205 0.9× 110 1.5× 83 2.2× 38 522

Countries citing papers authored by Natalia Ramondo

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Ramondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Ramondo

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Ramondo. A scholar is included among the top collaborators of Natalia Ramondo 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 Natalia Ramondo. Natalia Ramondo 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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