Martín Saavedra

42 total papers · 622 total citations
23 papers, 240 citations indexed

About

Martín Saavedra is a scholar working on Sociology and Political Science, Health and Gender Studies. According to data from OpenAlex, Martín Saavedra has authored 23 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 5 papers in Health and 5 papers in Gender Studies. Recurrent topics in Martín Saavedra's work include Demographic Trends and Gender Preferences (4 papers), Birth, Development, and Health (4 papers) and Global Health Care Issues (4 papers). Martín Saavedra is often cited by papers focused on Demographic Trends and Gender Preferences (4 papers), Birth, Development, and Health (4 papers) and Global Health Care Issues (4 papers). Martín Saavedra collaborates with scholars based in United States, Netherlands and Singapore. Martín Saavedra's co-authors include Brian Beach, Joseph P. Ferrie, Werner Troesken, Tate Twinam, Ryan Brown, Duncan Thomas, Todd Pugatch, Nick Huntington‐Klein, Marco Bertoni and Paul L.E. Grieco and has published in prestigious journals such as Journal of Political Economy, The Economic Journal and Journal of Health Economics.

In The Last Decade

Martín Saavedra

21 papers receiving 235 citations

Author Peers

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

Author Last Decade Papers Cites
Martín Saavedra 75 73 60 46 38 23 240
Hannaliis Jaadla 66 0.9× 37 0.5× 86 1.4× 103 2.2× 20 0.5× 17 250
Alan L. Sorkin 72 1.0× 46 0.6× 21 0.3× 53 1.2× 18 0.5× 32 234
Diego Ramiro Fariñas 82 1.1× 33 0.5× 97 1.6× 98 2.1× 23 0.6× 38 320
Eva Muluve 86 1.1× 40 0.5× 66 1.1× 77 1.7× 87 2.3× 17 295
Ryan Brown 97 1.3× 79 1.1× 37 0.6× 75 1.6× 8 0.2× 13 299
Chijioke O. Nwosu 61 0.8× 42 0.6× 76 1.3× 140 3.0× 27 0.7× 22 320
George Palattiyil 31 0.4× 90 1.2× 22 0.4× 106 2.3× 21 0.6× 26 323
Joshua Wilde 47 0.6× 26 0.4× 20 0.3× 44 1.0× 12 0.3× 19 177
Cara Ebert 27 0.4× 39 0.5× 52 0.9× 42 0.9× 9 0.2× 12 182
Farrukh Ishaque Saah 40 0.5× 41 0.6× 24 0.4× 86 1.9× 15 0.4× 19 231

Countries citing papers authored by Martín Saavedra

Since Specialization
Citations

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

Fields of papers citing papers by Martín Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Saavedra

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