Margaret Schabas

128 total papers · 1.7k total citations
46 papers, 562 citations indexed

About

Margaret Schabas is a scholar working on Economics and Econometrics, Sociology and Political Science and History and Philosophy of Science. According to data from OpenAlex, Margaret Schabas has authored 46 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 14 papers in Sociology and Political Science and 8 papers in History and Philosophy of Science. Recurrent topics in Margaret Schabas's work include Economic Theory and Institutions (24 papers), Political Economy and Marxism (13 papers) and Economic Theory and Policy (8 papers). Margaret Schabas is often cited by papers focused on Economic Theory and Institutions (24 papers), Political Economy and Marxism (13 papers) and Economic Theory and Policy (8 papers). Margaret Schabas collaborates with scholars based in Canada, United States and Germany. Margaret Schabas's co-authors include Carl Wennerlind, Neil De Marchi, Thomas Baldwin, Peter Simons, Michael Hallett, Sebastian Gardner, Christopher J. Coyne, Christopher Adair‐Toteff, Artur Rojszczak and Rom Harré and has published in prestigious journals such as The Economic Journal, The Journal of Economic Perspectives and Journal of Economic Behavior & Organization.

In The Last Decade

Margaret Schabas

39 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Margaret Schabas	355	203	159	97	83	46	562
A. E. Musson	250 0.7×	136 0.7×	49 0.3×	51 0.5×	85 1.0×	50	544
Marc Egnal	258 0.7×	203 1.0×	52 0.3×	126 1.3×	20 0.2×	37	565
Robert B. Marks	147 0.4×	232 1.1×	37 0.2×	104 1.1×	21 0.3×	30	512
Tony Aspromourgos	374 1.1×	256 1.3×	280 1.8×	82 0.8×	15 0.2×	57	572
David Spring	237 0.7×	185 0.9×	33 0.2×	107 1.1×	20 0.2×	42	651
Ralph Davis	415 1.2×	176 0.9×	61 0.4×	105 1.1×	36 0.4×	44	671
Harold D. Woodman	172 0.5×	308 1.5×	52 0.3×	102 1.1×	13 0.2×	51	673
Walter M. Stern	271 0.8×	177 0.9×	51 0.3×	128 1.3×	15 0.2×	49	631
François Crouzet	261 0.7×	127 0.6×	73 0.5×	89 0.9×	60 0.7×	73	523
Raymond de Roover	386 1.1×	90 0.4×	51 0.3×	310 3.2×	15 0.2×	39	690

Countries citing papers authored by Margaret Schabas

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Schabas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Schabas

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