Daniel M. G. Raff

75 total papers · 1.5k total citations
24 papers, 675 citations indexed

About

Daniel M. G. Raff is a scholar working on Economics and Econometrics, Marketing and General Economics, Econometrics and Finance. According to data from OpenAlex, Daniel M. G. Raff has authored 24 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 5 papers in Marketing and 3 papers in General Economics, Econometrics and Finance. Recurrent topics in Daniel M. G. Raff's work include Economic Theory and Institutions (6 papers), Historical Economic and Social Studies (5 papers) and American History and Culture (4 papers). Daniel M. G. Raff is often cited by papers focused on Economic Theory and Institutions (6 papers), Historical Economic and Social Studies (5 papers) and American History and Culture (4 papers). Daniel M. G. Raff collaborates with scholars based in United States and United Kingdom. Daniel M. G. Raff's co-authors include Naomi R. Lamoreaux, Peter Temin, Timothy F. Bresnahan, Manuel Trajtenberg, Lawrence H. Summers, James Foreman–Peck, Peter Scott and Stephen B. Adams and has published in prestigious journals such as American Economic Review, Strategic Management Journal and The American Historical Review.

In The Last Decade

Daniel M. G. Raff

22 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Daniel M. G. Raff	354	203	110	77	75	24	675
Raymond Barre	357 1.0×	173 0.9×	107 1.0×	115 1.5×	41 0.5×	33	719
Rudai Yang	358 1.0×	178 0.9×	76 0.7×	88 1.1×	43 0.6×	21	669
Linghui Tang	222 0.6×	159 0.8×	113 1.0×	156 2.0×	105 1.4×	21	667
Ward S. Bowman	332 0.9×	249 1.2×	70 0.6×	118 1.5×	35 0.5×	17	761
Janez Prašnikar	202 0.6×	284 1.4×	111 1.0×	71 0.9×	57 0.8×	48	597
Sandrine Labory	363 1.0×	244 1.2×	79 0.7×	66 0.9×	38 0.5×	50	709
Donald A. Hay	471 1.3×	211 1.0×	198 1.8×	62 0.8×	40 0.5×	33	757
Renáta Kosová	385 1.1×	394 1.9×	214 1.9×	131 1.7×	41 0.5×	25	714
Almarin Phillips	320 0.9×	171 0.8×	99 0.9×	43 0.6×	24 0.3×	44	567
José Miguel Benavente	479 1.4×	160 0.8×	163 1.5×	47 0.6×	26 0.3×	44	725

Countries citing papers authored by Daniel M. G. Raff

Since Specialization

Citations

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

Fields of papers citing papers by Daniel M. G. Raff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. G. Raff. 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 Daniel M. G. Raff. The network helps show where Daniel M. G. Raff may publish in the future.

Co-authorship network of co-authors of Daniel M. G. Raff

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