D. Sserunkuuma

1.5k total citations
25 papers, 949 citations indexed

About

D. Sserunkuuma is a scholar working on Soil Science, General Agricultural and Biological Sciences and Economics and Econometrics. According to data from OpenAlex, D. Sserunkuuma has authored 25 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Soil Science, 13 papers in General Agricultural and Biological Sciences and 7 papers in Economics and Econometrics. Recurrent topics in D. Sserunkuuma's work include Agricultural Innovations and Practices (13 papers), Land Rights and Reforms (11 papers) and Conservation, Biodiversity, and Resource Management (6 papers). D. Sserunkuuma is often cited by papers focused on Agricultural Innovations and Practices (13 papers), Land Rights and Reforms (11 papers) and Conservation, Biodiversity, and Resource Management (6 papers). D. Sserunkuuma collaborates with scholars based in Uganda, United States and Japan. D. Sserunkuuma's co-authors include Keijiro Otsuka, Yoko Kijima, Pamela Jagger, Ephraim Nkonya, John Pender, H. Ssali, Takashi Yamano, Gerald Shively, Crammer Kaizzi and Christopher Chibwana and has published in prestigious journals such as World Development, Economic Development and Cultural Change and Agricultural Economics.

In The Last Decade

D. Sserunkuuma

25 papers receiving 772 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Sserunkuuma Uganda 14 494 329 187 144 139 25 949
Milu Muyanga United States 17 633 1.3× 476 1.4× 166 0.9× 133 0.9× 95 0.7× 47 1.1k
Edward Kato United States 15 518 1.0× 321 1.0× 213 1.1× 198 1.4× 129 0.9× 38 1.1k
Aslıhan Arslan Italy 17 594 1.2× 344 1.0× 221 1.2× 119 0.8× 161 1.2× 39 1.2k
Jennifer Twyman Colombia 14 443 0.9× 298 0.9× 182 1.0× 115 0.8× 95 0.7× 37 1.1k
Ellen McCullough United States 14 356 0.7× 150 0.5× 207 1.1× 126 0.9× 142 1.0× 27 1.0k
Rajul Pandya‐Lorch United States 16 287 0.6× 216 0.7× 205 1.1× 91 0.6× 238 1.7× 76 1.3k
Mintewab Bezabih United Kingdom 15 432 0.9× 402 1.2× 157 0.8× 116 0.8× 67 0.5× 45 813
Nicholas J. Sitko United States 19 725 1.5× 583 1.8× 261 1.4× 169 1.2× 86 0.6× 57 1.3k
Daniel Bruce Sarpong Ghana 19 336 0.7× 207 0.6× 225 1.2× 75 0.5× 99 0.7× 79 1.0k
Edilegnaw Wale South Africa 18 409 0.8× 183 0.6× 212 1.1× 87 0.6× 199 1.4× 67 961

Countries citing papers authored by D. Sserunkuuma

Since Specialization
Citations

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

Fields of papers citing papers by D. Sserunkuuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Sserunkuuma

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

All Works

20 of 20 papers shown
1.
Katungi, Enid, et al.. (2017). Economic performance of community based bean seed production and marketing in the central rift valley of Ethiopia. African Crop Science Journal. 25(2). 189–189. 13 indexed citations
2.
Sserunkuuma, D., et al.. (2014). Willingness to pay for irrigation water and its determinants among rice farmers at Doho Rice Irrigation Scheme (DRIS) in Uganda. Journal of Development and Agricultural Economics. 6(8). 345–355. 29 indexed citations
3.
Sserunkuuma, D., et al.. (2013). Factors Affecting the Decision and Extent of Rice-milling before Sale among Ugandan Farmers. Asian Journal of Agriculture and Rural Development. 3(8). 576–583. 5 indexed citations
4.
Kijima, Yoko, et al.. (2013). The adoption of NERICA rice varieties at the initial stage of the diffusion process in Uganda. African Journal of Agricultural and Resource Economics. 8(1). 46–56. 10 indexed citations
5.
Bonabana‐Wabbi, Jackline, et al.. (2012). Determinants of fast food consumption in Kampala, Uganda. African Journal of Food Agriculture Nutrition and Development. 12(53). 6567–6581. 21 indexed citations
6.
Shively, Gerald, et al.. (2010). Profits and margins along Uganda's charcoal value. 1 indexed citations
7.
Jagger, Pamela, et al.. (2010). Income, poverty and charcoal production in Uganda. Forest Policy and Economics. 13(3). 199–205. 70 indexed citations
8.
Kijima, Yoko, Keijiro Otsuka, & D. Sserunkuuma. (2010). An Inquiry into Constraints on a Green Revolution in Sub-Saharan Africa: The Case of NERICA Rice in Uganda. World Development. 39(1). 77–86. 106 indexed citations
9.
Shively, Gerald E., et al.. (2010). Profits and margins along Uganda's charcoal value chain. The International Forestry Review. 12(3). 270–283. 38 indexed citations
10.
Sserunkuuma, D., et al.. (2009). Collective action in the management of canal irrigation systems: the Doho Rice Scheme in Uganda.. IFPRI E-brary (International Food Policy Research Institute). 375–387. 9 indexed citations
11.
Kijima, Yoko, Keijiro Otsuka, & D. Sserunkuuma. (2008). Assessing the impact of NERICA on income and poverty in central and western Uganda. Agricultural Economics. 38(3). 327–337. 118 indexed citations
12.
Pender, John, Ephraim Nkonya, Pamela Jagger, et al.. (2006). Strategies to increase agricultural productivity and reduce land degradation in Uganda: an econometric analysis.. IFPRI E-brary (International Food Policy Research Institute). 165–189. 14 indexed citations
13.
Yamano, Takashi, et al.. (2006). Living Arrangements and Schooling of Orphaned Children and Adolescents in Uganda. Economic Development and Cultural Change. 54(4). 833–856. 45 indexed citations
14.
Sserunkuuma, D., et al.. (2005). The Adoption and Impact of Improved Maize and Land Management Technologies in Uganda. AgEcon Search (University of Minnesota, USA). 2(1). 67–84. 41 indexed citations
15.
Pender, John, Ephraim Nkonya, Pamela Jagger, D. Sserunkuuma, & H. Ssali. (2004). Strategies to increase agricultural productivity and reduce land degradation: evidence from Uganda. Agricultural Economics. 31(2-3). 181–195. 115 indexed citations
16.
Pender, John, Ephraim Nkonya, Pamela Jagger, D. Sserunkuuma, & H. Ssali. (2004). Strategies to increase agricultural productivity and reduce land degradation: evidence from Uganda. Agricultural Economics. 31(2-3). 181–195. 3 indexed citations
17.
Yamano, Takashi, et al.. (2004). The 2003 REPEAT Survey in Uganda: Results. 16 indexed citations
18.
Pender, John, Ephraim Nkonya, Pamela Jagger, et al.. (2003). An econometric approach to NRM impact assessment: an example from Uganda.. IFPRI E-brary (International Food Policy Research Institute). 43–50. 2 indexed citations
19.
Pender, John, Ephraim Nkonya, Pamela Jagger, D. Sserunkuuma, & H. Ssali. (2003). STRATEGIES TO INCREASE AGRICULTURAL PRODUCTIVITY AND REDUCE LAND DEGRADATION: EVIDENCE FROM UGANDA / доклад на 25 конференции IAAE, Reshaping Agriculture’s Contribution to Society, International Convention Centre, Durban, South Africa, 16-23 August 2003. 2 indexed citations
20.
Pender, John, et al.. (2002). DEVELOPMENT PATHWAYS AND LAND MANAGEMENT IN UGANDA: CAUSES AND IMPLICATIONS. AgEcon Search (University of Minnesota, USA). 12 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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