Stephen Knowles

2.4k citations
55 papers · 1.4k · h-index 17

Impact in

Papers in

Stephen Knowles

53 papers receiving 1.2k citations

Peers

Stephen Knowles
Comparison fields: 5 of 84
  • Safety Research 295
  • Economics and Econometrics 816
  • Development 97
  • General Decision Sciences 39
  • Gender Studies 167
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Christopher Blattman United States
Paul Niehaus United States
Irene van Staveren Netherlands
Günther G. Schulze Germany
Stéphanie Seguino United States
Arjan Verschoor United Kingdom
Wim P. M. Vijverberg United States
Andreas Bergh Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Knowles

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Knowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002239
2 1995215
3 2004167
4 1997114
5 2004113
6 201061
7
Does social capital affect foreign aid allocations
200230
8 201529
9
Measuring government intervention and estimating its effect on output: With reference to the high performing Asian economies
200029
10 201426
11 201024
12 201723
13 199819
14 201419
15 199818
16 201017
17 200316
18 201216
19 200114
20
The Future of Social Capital in Development Economics Research
200513

About Stephen Knowles

Stephen Knowles is a scholar working on Economics and Econometrics, Sociology and Political Science, Safety Research, Development and Demography, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (21 papers), Experimental Behavioral Economics Studies (20 papers), Economic Growth and Productivity (14 papers), Social Capital and Networks (8 papers), Income, Poverty, and Inequality (7 papers), International Development and Aid (7 papers), Culture, Economy, and Development Studies (7 papers) and Decision-Making and Behavioral Economics (7 papers). The work is most often cited by research in Safety Research (295 citations), Economics and Econometrics (816 citations), Development (97 citations), General Decision Sciences (39 citations) and Gender Studies (167 citations). Stephen Knowles has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include P. Dorian Owen, R. Quentin Grafton, David Fielding, Alvin Etang, Paul Hansen, Trudy Sullivan, Maroš Servátka, Paul Thorsnes, Murat Genç and Roberto Foa. Their work appears in journals such as The Journal of Development Studies, Journal of International Development, The Journal of Environment & Development, Economics Letters and Oxford Economic Papers.

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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