Mónica Pachón

85 total papers · 740 total citations
23 papers, 246 citations indexed

About

Mónica Pachón is a scholar working on Political Science and International Relations, Sociology and Political Science and Demography. According to data from OpenAlex, Mónica Pachón has authored 23 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Political Science and International Relations, 9 papers in Sociology and Political Science and 9 papers in Demography. Recurrent topics in Mónica Pachón's work include History and Politics in Latin America (9 papers), Politics and Society in Latin America (9 papers) and Electoral Systems and Political Participation (7 papers). Mónica Pachón is often cited by papers focused on History and Politics in Latin America (9 papers), Politics and Society in Latin America (9 papers) and Electoral Systems and Political Participation (7 papers). Mónica Pachón collaborates with scholars based in United States, Colombia and Bolivia. Mónica Pachón's co-authors include Royce Carroll, Matthew Søberg Shugart, Gary W. Cox, Roberto Junguito, Mauricio Cárdenas, Eduardo Alemán, Guillermo Perry, Mauricio Olivera and Ximena Peña and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Politics and Electoral Studies.

In The Last Decade

Mónica Pachón

22 papers receiving 222 citations

Author Peers

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

Author Last Decade Papers Cites
Mónica Pachón 196 72 45 33 29 23 246
Daniel Chasquetti 224 1.1× 83 1.2× 27 0.6× 22 0.7× 32 1.1× 31 247
Jean‐François Godbout 189 1.0× 89 1.2× 34 0.8× 49 1.5× 21 0.7× 30 242
Nina Wiesehomeier 217 1.1× 165 2.3× 49 1.1× 21 0.6× 11 0.4× 18 322
Wonjae Hwang 239 1.2× 129 1.8× 46 1.0× 42 1.3× 38 1.3× 36 313
Joshua D. Potter 231 1.2× 117 1.6× 50 1.1× 52 1.6× 6 0.2× 18 298
Douglas V. Verney 203 1.0× 125 1.7× 37 0.8× 28 0.8× 30 1.0× 31 316
Malcolm Mackerras 254 1.3× 96 1.3× 50 1.1× 17 0.5× 21 0.7× 37 320
Sarah Brierley 184 0.9× 193 2.7× 50 1.1× 24 0.7× 13 0.4× 18 309
Paula Muñoz 154 0.8× 110 1.5× 39 0.9× 10 0.3× 15 0.5× 21 205
Pedro Riera 244 1.2× 101 1.4× 40 0.9× 35 1.1× 13 0.4× 34 296

Countries citing papers authored by Mónica Pachón

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Pachón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Pachón

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