R. W. Davies

9.9k citations
87 papers · 1.5k indexed · 1 hit paper · h-index 20

R. W. Davies

77 papers receiving 1.3k citations

Hit Papers

State of the world's raptors: Distributions, threats, and...248201820262020202350100150200

Peers

R. W. Davies
Comparison fields: 5 of 164
  • Ecological Modeling 71
  • Political Science and International Relations 351
  • Genetics 421
  • Ecology 228
  • Nature and Landscape Conservation 78
Replace Ann Marie Clark with:
Ann Marie Clark United States
Yung Chul Park South Korea
Norman F. Johnson United States
James S. Rogers United States
Michael K. Moore United States
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Dan E. Krane United States
Frederic H. Wagner United States
M. D. Madhusudan India
J. A. Thomson United Kingdom
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Citations per field
00.5×10×15.3×
Ann Marie Clark · 1×
Citations per year

Countries citing papers authored by R. W. Davies

Since Specialization
Citations

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

Fields of papers citing papers by R. W. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside R. W. Davies, 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. W. Davies Line = papers co-authored together R. W. Davies links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202412
3 20247
4 20221
5 20218
6 202132
7 202150
8 202146
9 202013
10 202014
11 201957
12 2019129
13 2016160
14
The Years of Progress: The Soviet Economy, 1934-1936
20142
15 201433
16
The era of global transition : crises and opportunities in the new world
20121
17 201017
18
Soviet history, 1917-53 : essays in honour of R.W. Davies
19955
19
The Socialist offensive : the collectivisation of Soviet agriculture, 1929-1930
198022
20
Soviet industrial production, 1928-1937 : the rival estimates
19784

About R. W. Davies

R. W. Davies is a scholar working on Political Science and International Relations, Genetics and Sociology and Political Science, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Russia and Soviet political economy (25 papers), Soviet and Russian History (24 papers), Eastern European Communism and Reforms (10 papers), European history and politics (8 papers), Genetic Associations and Epidemiology (6 papers), Genomics and Phylogenetic Studies (4 papers), Post-Communist Economic and Political Transition (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Ecological Modeling (71 citations), Political Science and International Relations (351 citations) and Genetics (421 citations). R. W. Davies has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Simon Myers, Richard Mott, Jonathan Flint, Stephen G. Wheatcroft, Arjun Amar, Hannah Wheatley, Sarah E. Schulwitz, Stuart H. M. Butchart, Evan R. Buechley and James R.S. Westrip. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

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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