Martin Ravallion

40 total papers · 1.1k total citations
16 papers, 571 citations indexed

About

Martin Ravallion is a scholar working on Economics and Econometrics, Sociology and Political Science and Urban Studies. According to data from OpenAlex, Martin Ravallion has authored 16 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 5 papers in Sociology and Political Science and 3 papers in Urban Studies. Recurrent topics in Martin Ravallion's work include Income, Poverty, and Inequality (4 papers), Urban and Rural Development Challenges (3 papers) and Agricultural risk and resilience (2 papers). Martin Ravallion is often cited by papers focused on Income, Poverty, and Inequality (4 papers), Urban and Rural Development Challenges (3 papers) and Agricultural risk and resilience (2 papers). Martin Ravallion collaborates with scholars based in United States and Russia. Martin Ravallion's co-authors include Quentin Wodon, Michael Lokshin, Mariana Spatareanu, Marcelino Lucas, Prem Sangraula, Ivan T. Kandilov, Marc Jeuland, Trudy Owens, Danny Cassimon and Damien de Walque and has published in prestigious journals such as Population and Development Review, The World Bank Economic Review and Journal of Regional Science.

In The Last Decade

Martin Ravallion

15 papers receiving 393 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Ravallion 347 224 176 106 77 16 571
Nanak Kakwani 385 1.1× 148 0.7× 187 1.1× 74 0.7× 33 0.4× 15 524
Ehtisham Ahmad 274 0.8× 179 0.8× 129 0.7× 83 0.8× 55 0.7× 8 503
Marta Menéndez 443 1.3× 258 1.2× 127 0.7× 86 0.8× 71 0.9× 10 623
S. R. Osmani 175 0.5× 252 1.1× 136 0.8× 94 0.9× 63 0.8× 31 653
Kathy Lindert 262 0.8× 166 0.7× 228 1.3× 68 0.6× 30 0.4× 17 522
Jesko Hentschel 247 0.7× 189 0.8× 182 1.0× 66 0.6× 29 0.4× 33 529
Evangelos M. Falaris 363 1.0× 268 1.2× 70 0.4× 40 0.4× 47 0.6× 21 636
Sudharshan Canagarajah 229 0.7× 210 0.9× 243 1.4× 115 1.1× 25 0.3× 36 610
Rosane Silva Pinto de Mendonça 321 0.9× 216 1.0× 116 0.7× 28 0.3× 91 1.2× 40 581
Ernesto M. Pernia 339 1.0× 299 1.3× 137 0.8× 44 0.4× 101 1.3× 50 656

Countries citing papers authored by Martin Ravallion

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ravallion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Ravallion

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