R. S. Sayers

1.6k citations
54 papers · 566 · h-index 13

Impact in

Papers in

R. S. Sayers

40 papers receiving 413 citations

Peers

R. S. Sayers
Comparison fields: 5 of 57
  • General Economics, Econometrics and Finance 254
  • Finance 179
  • Economics and Econometrics 232
  • Political Science and International Relations 76
  • Anthropology 29
Replace L. S. Pressnell with:
L. S. Pressnell United Kingdom
J. K. Horsefield United Kingdom
Albert H. Imlah United States
P. G. M. Dickson United States
Angela Redish Canada
Susan Howson Canada
G. C. Peden United Kingdom
Edward Nevin United Kingdom
Robert B. Sutcliffe South Korea
Ursula K. Hicks United Kingdom
R. S. Sayers relative to L. S. Pressnell United Kingdom L. S. Pressnell's profile →
Citations per field
00.5×5.3×
L. S. Pressnell · 1×
Citations per year

Countries citing papers authored by R. S. Sayers

Since Specialization
Citations

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

Fields of papers citing papers by R. S. Sayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. S. Sayers. 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 R. S. Sayers. The network helps show where R. S. Sayers may publish in the future.

Co-authors

The 25 scholars most cited alongside R. S. Sayers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. S. Sayers Line = papers co-authored together R. S. Sayers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196097
2 197789
3 195751
4 195840
5 196827
6 197324
7 195420
8 196018
9 195317
10 195714
11 196413
12 195313
13 195612
14 198111
15 195711
16 19779
17 19578
18
O negro na literatura brasileira
19588
19 19528
20 19548

About R. S. Sayers

R. S. Sayers is a scholar working on General Economics, Econometrics and Finance, Literature and Literary Theory, Finance, Economics and Econometrics and Political Science and International Relations, having authored 54 papers that have together received 566 indexed citations. Recurring topics across this work include Economic Theory and Policy (7 papers), Economic, financial, and policy analysis (6 papers), Literature, Culture, and Criticism (5 papers), Political and Economic history of UK and US (5 papers), Housing, Finance, and Neoliberalism (3 papers), Historical Economic and Social Studies (3 papers), Global Financial Crisis and Policies (3 papers) and Cultural, Media, and Literary Studies (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (254 citations), Finance (179 citations), Economics and Econometrics (232 citations), Political Science and International Relations (76 citations) and Anthropology (29 citations). R. S. Sayers has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Harry G. Johnson, D. E. Moggridge, Carlo M. Cipolla, R. G. Hawtrey, John Maynard Keynes, Brian Tew, T. S. Ashton, Benjamin Haggott Beckhart, D. M. Joslin and Stephen A. Schuker. Their work appears in journals such as The Economic History Review, The Economic Journal, Economica, Hispanic American Historical Review and Modern Language Journal.

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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