Countries citing papers authored by John Mwangi Gathenya
Since
Specialization
Citations
This map shows the geographic impact of John Mwangi Gathenya'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 John Mwangi Gathenya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Mwangi Gathenya more than expected).
Fields of papers citing papers by John Mwangi Gathenya
This network shows the impact of papers produced by John Mwangi Gathenya. 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 John Mwangi Gathenya. The network helps show where John Mwangi Gathenya may publish in the future.
Co-authorship network of co-authors of John Mwangi Gathenya
This figure shows the co-authorship network connecting the top 25 collaborators of John Mwangi Gathenya.
A scholar is included among the top collaborators of John Mwangi Gathenya 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 John Mwangi Gathenya. John Mwangi Gathenya is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Home, Patrick G., et al.. (2018). Statistical Analysis of Relationships Between the Flow Regime and Riverine Ecosystems in the Umba River, Kenya. Journals & Books Hosting (International Knowledge Sharing Platform). 8(11). 13–24.1 indexed citations
Gathenya, John Mwangi, et al.. (2014). Assessment of Level and Quality of Water Supply Service Delivery for Development of Decision Support Tools: Case Study Asmara Water Supply. International Journal of Sciences: Basic and Applied Research. 14(1). 93–107.11 indexed citations
11.
Sang, Joseph, et al.. (2014). Comparison of two Calibration-uncertainty Methods for Soil and Water Assessment Tool in Stream Flow Modeling. 1(2). 40–44.5 indexed citations
12.
Sang, Joseph, et al.. (2014). SWAT model parameter calibration and uncertainty analysis using the HydroPSO R package in Nzoia Basin, Kenya. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1(3). 17–29.8 indexed citations
13.
Sang, Joseph, et al.. (2014). General Circulation Models (GCMs) Downscaling Techniques and Uncertainty Modeling for Climate Change Impact Assessment. 147–153.7 indexed citations
14.
Mwangi, Hosea M., et al.. (2013). EVALUATION OF AGRICULTURAL CONSERVATION PRACTICES ON ECOSYSTEM SERVICES IN SASUMUA WATERSHED, KENYA USING SWAT MODEL.4 indexed citations
15.
Gathenya, John Mwangi, et al.. (2012). HYDROLOGIC ANALYSIS OF MALEWA WATERSHED AS A BASIS FOR IMPLEMENTING PAYMENT FOR ENVIRONMENTAL SERVICES (PES).1 indexed citations
16.
Thiong'o, G T, et al.. (2012). ASSESSMENT OF THE WATER QUALITY STATUS OF SASUMUA WATERSHED, KENYA.3 indexed citations
17.
Gathenya, John Mwangi, et al.. (2012). IMPACTS OF BEST MANAGEMENT PRACTICES (BMPS) ON WATER QUANTITY AND QUALITY OF MALEWA BASIN.1 indexed citations
18.
Kaluli, James Wambua, et al.. (2012). Effect of rain water harvesting and drip irrigation on crop performance in an arid and semi-arid environment. Journal of Agricultural Science and Technology. 14(2). 17–29.3 indexed citations
19.
Gathenya, John Mwangi, et al.. (2011). Domestic Roof Rainwater Harvesting Tank Sizing Calculator and Nomograph. Journal of Agricultural Science and Technology. 12(2). 115–125.4 indexed citations
20.
Shisanya, Chris A., Daniel N. Moriasi, Jakob Steiner, et al.. (2007). Fort Cobb Reservoir Watershed, Oklahoma and Thika River Watershed, Kenya Twinning Pilot Project. AGUFM. 2007.1 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.