Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Institutions, resources and innovation in East Africa: A firm level approach
2016211 citationsLaura Barasa, Joris Knoben et al.Research Policyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Peter Kimuyu'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 Peter Kimuyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kimuyu more than expected).
This network shows the impact of papers produced by Peter Kimuyu. 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 Peter Kimuyu. The network helps show where Peter Kimuyu may publish in the future.
Co-authorship network of co-authors of Peter Kimuyu
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kimuyu.
A scholar is included among the top collaborators of Peter Kimuyu 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 Peter Kimuyu. Peter Kimuyu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barasa, Laura, et al.. (2016). Export and Innovation in Sub-Saharan Africa. Research portal (Tilburg University).3 indexed citations
6.
Barasa, Laura, et al.. (2016). Institutions, resources and innovation in East Africa: A firm level approach. Research Policy. 46(1). 280–291.211 indexed citations breakdown →
Kimuyu, Peter. (2011). Do Small Firms in Developing Countries Ever Transform? Evidence from Small Manufacturers in Kenya. 14.1 indexed citations
9.
Kimuyu, Peter, et al.. (2007). Business Systems Theory: An African Perspective.2 indexed citations
10.
Bigsten, Arne, et al.. (2004). What to Do with the Informal Sector. SSRN Electronic Journal.3 indexed citations
11.
Blattman, Christopher, Ibrahim Elbadawi, James Habyarimana, et al.. (2004). Enhancing the competitiveness of Kenya's manufacturing sector: the role of the investment climate. 1.11 indexed citations
12.
Bigsten, Arne & Peter Kimuyu. (2002). Structure and performance of manufacturing in Kenya. Palgrave eBooks.35 indexed citations
13.
McCormick, Dorothy, Peter Kimuyu, & Mary Njeri Kinyanjui. (2001). Kenya's garment industry: an institutional view of medium and large firms. OpenDocs (Institute of Development Studies). 531.8 indexed citations
14.
Kimuyu, Peter. (2001). Micro-level Institutions & Enterprise Productivity: Insights From Kenya's Small Business Sector.5 indexed citations
15.
Kimuyu, Peter, et al.. (2000). Popular culture, family relations and issues of everyday democracy: a study of youth in Pumwani. OpenDocs (Institute of Development Studies).2 indexed citations
16.
Kimuyu, Peter. (1999). Development policy in Kenya: which way forward?. 14(2). 2–4.2 indexed citations
17.
McCormick, Dorothy, et al.. (1999). Institutions and the industrialisation process : a proposal for a study of the textile and textile products industry in Kenya.3 indexed citations
Kimuyu, Peter, et al.. (1997). Vision for a bright Africa: facing the challenges of development.
20.
Kimuyu, Peter. (1991). Determinants of Fertilizer Use on Smallholder Coffee and Maize in Murang'a District, Kenya. 7(1). 45–49.2 indexed citations
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.