Ian M. Schmutte

95 total papers · 1.6k total citations
38 papers, 454 citations indexed

About

Ian M. Schmutte is a scholar working on Economics and Econometrics, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Ian M. Schmutte has authored 38 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 10 papers in Sociology and Political Science and 8 papers in General Health Professions. Recurrent topics in Ian M. Schmutte's work include Labor market dynamics and wage inequality (15 papers), Employment and Welfare Studies (6 papers) and Gender, Labor, and Family Dynamics (5 papers). Ian M. Schmutte is often cited by papers focused on Labor market dynamics and wage inequality (15 papers), Employment and Welfare Studies (6 papers) and Gender, Labor, and Family Dynamics (5 papers). Ian M. Schmutte collaborates with scholars based in United States, France and Ireland. Ian M. Schmutte's co-authors include John M. Abowd, Robert Gittings, Daniela Scur, Kurt Lavetti, Christopher Cornwell, Morten Bennedsen, Coady Wing, Birthe Larsen, Laura Montenovo and Bruce A. Weinberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Economic Review.

In The Last Decade

Ian M. Schmutte

35 papers receiving 437 citations

Author Peers

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

Author Last Decade Papers Cites
Ian M. Schmutte 255 157 110 68 44 38 454
Michał Brzeziński 215 0.8× 165 1.1× 55 0.5× 15 0.2× 17 0.4× 45 520
Anders Frederiksen 247 1.0× 104 0.7× 74 0.7× 13 0.2× 43 1.0× 43 524
Maria Grazia Pittau 266 1.0× 228 1.5× 52 0.5× 36 0.5× 21 0.5× 37 534
Hans van Ophem 335 1.3× 107 0.7× 72 0.7× 18 0.3× 38 0.9× 33 544
Hannes Mueller 115 0.5× 228 1.5× 63 0.6× 15 0.2× 49 1.1× 37 490
Bledi Taska 319 1.3× 77 0.5× 82 0.7× 15 0.2× 24 0.5× 29 478
Ina Ganguli 218 0.9× 153 1.0× 41 0.4× 10 0.1× 33 0.8× 37 534
Eunji Kim 107 0.4× 240 1.5× 24 0.2× 21 0.3× 22 0.5× 39 459
Marc Sangnier 183 0.7× 140 0.9× 20 0.2× 23 0.3× 54 1.2× 19 501
Jying‐Nan Wang 176 0.7× 143 0.9× 56 0.5× 27 0.4× 10 0.2× 46 470

Countries citing papers authored by Ian M. Schmutte

Since Specialization
Citations

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

Fields of papers citing papers by Ian M. Schmutte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian M. Schmutte. 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 Ian M. Schmutte. The network helps show where Ian M. Schmutte may publish in the future.

Co-authorship network of co-authors of Ian M. Schmutte

This figure shows the co-authorship network connecting the top 25 collaborators of Ian M. Schmutte. A scholar is included among the top collaborators of Ian M. Schmutte 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 Ian M. Schmutte. Ian M. Schmutte 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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