Geert De Neve

80 total papers · 1.7k total citations
39 papers, 975 citations indexed

About

Geert De Neve is a scholar working on Sociology and Political Science, Political Science and International Relations and Economics and Econometrics. According to data from OpenAlex, Geert De Neve has authored 39 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 11 papers in Political Science and International Relations and 11 papers in Economics and Econometrics. Recurrent topics in Geert De Neve's work include Global trade, sustainability, and social impact (9 papers), Anthropological Studies and Insights (8 papers) and Southeast Asian Sociopolitical Studies (8 papers). Geert De Neve is often cited by papers focused on Global trade, sustainability, and social impact (9 papers), Anthropological Studies and Insights (8 papers) and Southeast Asian Sociopolitical Studies (8 papers). Geert De Neve collaborates with scholars based in United Kingdom, United States and Denmark. Geert De Neve's co-authors include Grace Carswell, Thomas M. Chambers, Alessandra Mezzadri, Jonathan Parry, Rebecca Prentice, Kanchana N. Ruwanpura, Trent Brown, Henrike Donner, Sonja Ayeb‐Karlsson and R. S. Khare and has published in prestigious journals such as Geoforum, Journal of the Royal Anthropological Institute and Antipode.

In The Last Decade

Geert De Neve

36 papers receiving 842 citations

Author Peers

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

Author Last Decade Papers Cites
Geert De Neve 445 334 260 166 152 39 975
Kanchana N. Ruwanpura 434 1.0× 330 1.0× 212 0.8× 112 0.7× 100 0.7× 66 991
Jens Lerche 558 1.3× 105 0.3× 289 1.1× 155 0.9× 75 0.5× 42 888
Alessandra Mezzadri 465 1.0× 316 0.9× 195 0.8× 134 0.8× 157 1.0× 39 947
Judith Tendler 443 1.0× 147 0.4× 346 1.3× 326 2.0× 94 0.6× 21 1.2k
Andrew Coulson 229 0.5× 132 0.4× 212 0.8× 153 0.9× 79 0.5× 47 863
Jairus Banaji 558 1.3× 78 0.2× 204 0.8× 144 0.9× 51 0.3× 47 935
Dharam Ghai 309 0.7× 56 0.2× 264 1.0× 159 1.0× 98 0.6× 67 867
Gary Teeple 496 1.1× 122 0.4× 310 1.2× 151 0.9× 75 0.5× 21 1.1k
Matt Andrews 465 1.0× 157 0.5× 383 1.5× 250 1.5× 201 1.3× 29 1.2k
Duncan Green 365 0.8× 132 0.4× 260 1.0× 211 1.3× 46 0.3× 52 1.1k

Countries citing papers authored by Geert De Neve

Since Specialization
Citations

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

Fields of papers citing papers by Geert De Neve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert De Neve. 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 Geert De Neve. The network helps show where Geert De Neve may publish in the future.

Co-authorship network of co-authors of Geert De Neve

This figure shows the co-authorship network connecting the top 25 collaborators of Geert De Neve. A scholar is included among the top collaborators of Geert De Neve 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 Geert De Neve. Geert De Neve 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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