Pablo Lapegna

66 total papers · 887 total citations
30 papers, 438 citations indexed

About

Pablo Lapegna is a scholar working on General Agricultural and Biological Sciences, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Pablo Lapegna has authored 30 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Agricultural and Biological Sciences, 13 papers in Sociology and Political Science and 9 papers in Political Science and International Relations. Recurrent topics in Pablo Lapegna's work include Agriculture, Land Use, Rural Development (16 papers), Politics and Society in Latin America (9 papers) and CRISPR and Genetic Engineering (8 papers). Pablo Lapegna is often cited by papers focused on Agriculture, Land Use, Rural Development (16 papers), Politics and Society in Latin America (9 papers) and CRISPR and Genetic Engineering (8 papers). Pablo Lapegna collaborates with scholars based in United States, Argentina and Canada. Pablo Lapegna's co-authors include Javier Auyero, Gerardo Otero, Rebecca Hanson, Christian Berndt, Ryan E. Galt, Emily Marquez, Lucía Argüelles, Annie Shattuck, Fernando R. Barri and Bryan Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Problems and American Anthropologist.

In The Last Decade

Pablo Lapegna

26 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Pablo Lapegna 186 176 105 94 68 30 438
Priti Ramamurthy 98 0.5× 197 1.1× 71 0.7× 62 0.7× 30 0.4× 21 383
Lídia Cabral 194 1.0× 82 0.5× 49 0.5× 47 0.5× 67 1.0× 42 455
Arūnas Juška 177 1.0× 120 0.7× 83 0.8× 89 0.9× 155 2.3× 37 481
Carla Gras 294 1.6× 106 0.6× 30 0.3× 110 1.2× 52 0.8× 31 419
Alessandro Bonanno 102 0.5× 118 0.7× 61 0.6× 151 1.6× 116 1.7× 38 487
Bradley Wilson 94 0.5× 110 0.6× 58 0.6× 130 1.4× 119 1.8× 19 403
Lynne Phillips 58 0.3× 210 1.2× 74 0.7× 40 0.4× 87 1.3× 29 483
Marygold Walsh‐Dilley 176 0.9× 131 0.7× 36 0.3× 49 0.5× 78 1.1× 16 407
Arilson Favareto 163 0.9× 133 0.8× 74 0.7× 54 0.6× 30 0.4× 51 479
John Dickenson 35 0.2× 82 0.5× 40 0.4× 119 1.3× 80 1.2× 32 467

Countries citing papers authored by Pablo Lapegna

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Lapegna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Lapegna

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