I. Wanyama

425 total citations
10 papers, 285 citations indexed

About

I. Wanyama is a scholar working on Soil Science, General Agricultural and Biological Sciences and Management, Monitoring, Policy and Law. According to data from OpenAlex, I. Wanyama has authored 10 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Soil Science, 3 papers in General Agricultural and Biological Sciences and 3 papers in Management, Monitoring, Policy and Law. Recurrent topics in I. Wanyama's work include Soil Carbon and Nitrogen Dynamics (3 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Agriculture, Land Use, Rural Development (2 papers). I. Wanyama is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (3 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Agriculture, Land Use, Rural Development (2 papers). I. Wanyama collaborates with scholars based in United Kingdom, Kenya and Uganda. I. Wanyama's co-authors include Piet van Asten, Laurence Jassogne, David Mukasa, K.E. Giller, Godfrey H. Kagezi, David E. Pelster, Mariana C. Rufino, Klaus Butterbach‐Bahl, Louis Verchot and Philippe V. Baret and has published in prestigious journals such as The Science of The Total Environment, Biogeochemistry and Agricultural Systems.

In The Last Decade

I. Wanyama

10 papers receiving 277 citations

Peers

I. Wanyama

GABS

GPC

EEBS

Adina Chain‐Guadarrama Costa Rica

Rosalien E. Jezeer Netherlands

Ariani C. Wartenberg United States

Bárbara Viguera Costa Rica

Pablo Siles Colombia

Charlotte Lau United Kingdom

M. Ruth Martínez‐Rodríguez Costa Rica

Henry Oppong Tuffour Ghana

María Baca Colombia

John G. Bellow United States

Adina Chain‐Guadarrama Costa Rica

I. Wanyama

70 ×0.8

95 ×1.3

104 ×1.7

GABS

87 ×1.5

GPC

177 ×3.3

EEBS

Citations per year, relative to I. Wanyama I. Wanyama (= 1×) peers Adina Chain‐Guadarrama

Countries citing papers authored by I. Wanyama

Since Specialization

Citations

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

Fields of papers citing papers by I. Wanyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Wanyama

This figure shows the co-authorship network connecting the top 25 collaborators of I. Wanyama. A scholar is included among the top collaborators of I. Wanyama 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 I. Wanyama. I. Wanyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Hammond, James, Sabine Douxchamps, Mai Thanh Tu, et al.. (2022). Perceived effects of COVID-19 restrictions on smallholder farmers: Evidence from seven lower- and middle-income countries. Agricultural Systems. 198. 103367–103367. 37 indexed citations

Rufino, Mariana C., Charles K. K. Gachene, Rodrigue V.C. Diogo, et al.. (2020). SUSTAINABLE DEVELOPMENT OF CROP-LIVESTOCK FARMS IN AFRICA. Frontiers of Agricultural Science and Engineering. 8(1). 175–175. 9 indexed citations

Wanyama, I., David E. Pelster, Klaus Butterbach‐Bahl, et al.. (2019). Soil carbon dioxide and methane fluxes from forests and other land use types in an African tropical montane region. Biogeochemistry. 143(2). 171–190. 47 indexed citations

Wanyama, I., Mariana C. Rufino, David E. Pelster, et al.. (2018). Land Use, Land Use History, and Soil Type Affect Soil Greenhouse Gas Fluxes From Agricultural Landscapes of the East African Highlands. Journal of Geophysical Research Biogeosciences. 123(3). 976–990. 9 indexed citations

Wanyama, I., David E. Pelster, Cristina Arias‐Navarro, et al.. (2017). Management intensity controls soil N2O fluxes in an Afromontane ecosystem. The Science of The Total Environment. 624. 769–780. 23 indexed citations

Jassogne, Laurence, Piet van Asten, David Mukasa, et al.. (2014). Evaluating coffee yield gaps and important biotic, abiotic, and management factors limiting coffee production in Uganda. European Journal of Agronomy. 63. 1–11. 111 indexed citations

Rufino, Mariana C., Carlos F. Quirós, Sabine Douxchamps, et al.. (2013). Developing generic tools for characterizing agricultural systems for climate and global change studies (IMPACTlite - phase 2). Report to CCAFS. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 7 indexed citations

Jassogne, Laurence, et al.. (2012). Understanding and exploring the evolution of coffee-banana farming systems in Uganda.. 4 indexed citations

Jassogne, Laurence, Piet van Asten, I. Wanyama, & Philippe V. Baret. (2012). Perceptions and outlook on intercropping coffee with banana as an opportunity for smallholder coffee farmers in Uganda. International Journal of Agricultural Sustainability. 11(2). 144–158. 36 indexed citations

10.

Wanyama, I., et al.. (2005). Soil quality indexing and mapping: evaluation of a GIS-based tool on a Lake Victoria microcatchment ferralsol. 7. 1033–1037. 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.

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