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.
Citations per year, relative to F. N. Gichuki F. N. Gichuki (= 1×)
peers
Bruno Barbier
Countries citing papers authored by F. N. Gichuki
Since
Specialization
Citations
This map shows the geographic impact of F. N. Gichuki'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 F. N. Gichuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. N. Gichuki more than expected).
This network shows the impact of papers produced by F. N. Gichuki. 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 F. N. Gichuki. The network helps show where F. N. Gichuki may publish in the future.
Co-authorship network of co-authors of F. N. Gichuki
This figure shows the co-authorship network connecting the top 25 collaborators of F. N. Gichuki.
A scholar is included among the top collaborators of F. N. Gichuki 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 F. N. Gichuki. F. N. Gichuki is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gichuki, F. N., et al.. (2014). Assessment of Low-head Drip Irrigation Systems Uniformity of Application. International Journal of Sciences: Basic and Applied Research. 15(2). 234–244.2 indexed citations
Humphreys, E., F. N. Gichuki, Mark Svendsen, et al.. (2008). Fighting Poverty Through Sustainable Water Use: Volume II. Data Archiving and Networked Services (DANS).3 indexed citations
Savenije, H. H. G., F. N. Gichuki, & Stephen N. Ngigi. (2006). Land Use Changes And Hydrological Impacts Related To Up-scaling Of Rainwater Harvesting And Management In Upper Ewaso Ng 'iro River Basin, Kenya. Land Use Policy (in Press).1 indexed citations
Gachene, Charles K. K., et al.. (2000). Rainfall-runoff relationships on the Njemps flats of Baringo district: implications for water harvesting.. 253–256.1 indexed citations
9.
Gichuki, F. N.. (2000). Makueni district profile: soil management and conservation, 1989-1998.. OpenGrey (Institut de l'Information Scientifique et Technique).4 indexed citations
10.
Gichuki, F. N.. (2000). Drylands Research Working Paper 4.14 indexed citations
11.
Gichuki, F. N.. (2000). MAKUENI DISTRICT PROFILE: RAINFALL VARIABILITY, 1950-1997. OpenGrey (Institut de l'Information Scientifique et Technique).5 indexed citations
12.
Gachene, Charles K. K., et al.. (2000). Erosion and sedimentation problems in the arid and semi-arid lands of Kenya. 61–63.4 indexed citations
13.
Gichuki, F. N., Hanspeter Liniger, & Gudrun Schwilch. (1998). Knowledge about highland–lowland interactions: The role of a natural resource information system. 8. 5–14.9 indexed citations
Gachene, Charles K. K., et al.. (1993). Development of a streamflow model for rural catchments in Kenya.. 191–202.2 indexed citations
16.
Gachene, Charles K. K., et al.. (1993). Laboratory calibration of a tipping-bucket device and sediment sampling tube for soil erosion plots.. 81–84.1 indexed citations
17.
Gichuki, F. N., et al.. (1993). Planning irrigation cropping systems.. 263–266.1 indexed citations
18.
Gichuki, F. N., et al.. (1993). Sedimentation problems of Masinga reservoir.. 43–46.7 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.