Daniel M. G. Raff

22 papers receiving 514 citations

Peers

Daniel M. G. Raff
Comparison fields: 5 of 70
  • Economics and Econometrics 354
  • Strategy and Management 203
  • General Economics, Econometrics and Finance 110
  • Sociology and Political Science 77
  • Organizational Behavior and Human Resource Management 75
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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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 1
4
Representative Firm Analysis and the Character of Competition: Glimpses from the Great Depression
0
5 23
6 1
7 1
8 15
9 138
10 112
11
Learning by Doing in Markets, Firms, and Countries
63
12 0
13
Sears Roebuck in the Twentieth Century: Competition, Complementarities, and the Problem of Wasting Assets
2
14 1
15
PRODUCTIVITY GROWTH AT FORD IN THE COMING OF MASS PRODUCTION: A PRELIMINARY ANALYSIS
2
16
Quality Adjusted Prices for the American Automobile Industry: 1906-1940
43
17
Localized Competition and the Aggregation of Plant Level Increasing Returns: Blast Furnaces 1929-1935
3
18 34
19 88
20 36

About Daniel M. G. Raff

Daniel M. G. Raff is a scholar working on Tourism, Leisure and Hospitality Management, Marketing and History and Philosophy of Science, having authored 24 papers that have together received 675 indexed citations. Recurring topics across this work include Economic Theory and Institutions (6 papers), Historical Economic and Social Studies (5 papers) and American History and Culture (4 papers). The work is most often cited by research in Strategy and Management (203 citations), General Economics, Econometrics and Finance (110 citations) and Economics and Econometrics (354 citations). Daniel M. G. Raff has collaborated with scholars based in United States and United Kingdom. Frequent 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. Their work appears in journals such as American Economic Review, Strategic Management Journal and The American Historical Review.

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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