Daniel Waiswa

456 total citations
23 papers, 211 citations indexed

About

Daniel Waiswa is a scholar working on Global and Planetary Change, Forestry and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel Waiswa has authored 23 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 7 papers in Forestry and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel Waiswa's work include Conservation, Biodiversity, and Resource Management (7 papers), African Botany and Ecology Studies (7 papers) and Climate variability and models (4 papers). Daniel Waiswa is often cited by papers focused on Conservation, Biodiversity, and Resource Management (7 papers), African Botany and Ecology Studies (7 papers) and Climate variability and models (4 papers). Daniel Waiswa collaborates with scholars based in Uganda, United States and Tanzania. Daniel Waiswa's co-authors include Yazidhi Bamutaze, Jacob Godfrey Agea, Joachim Reuder, Edward N. Mwavu, Michel d. S. Mesquita, Patrick Byakagaba, Stephen P. Prisley, Michael S. Mbogga, Petter Pilesjö and Marc J. Stern and has published in prestigious journals such as Environmental Research Letters, Ecology and Society and Ecology and Evolution.

In The Last Decade

Daniel Waiswa

22 papers receiving 197 citations

Peers

Daniel Waiswa

GPC

EEBS

FORES

Royd Vinya Zambia

Lila Nath Sharma Nepal

Josiah M. Kinama Kenya

Diego Pons United States

Louis Reymondin Vietnam

Janita Gurung Nepal

Hadgu Hishe Ethiopia

Sanoj Kumar Patel India

J. Mauricio Galeana-Pizaña Mexico

Mulugeta Mokria Kenya

Royd Vinya Zambia

Daniel Waiswa

188 ×1.6

GPC

35 ×0.8

61 ×1.7

39 ×1.2

EEBS

46 ×1.5

FORES

Citations per year, relative to Daniel Waiswa Daniel Waiswa (= 1×) peers Royd Vinya

Countries citing papers authored by Daniel Waiswa

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Waiswa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Waiswa

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

All Works

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20 of 20 papers shown

Waiswa, Daniel, et al.. (2025). Land use land cover dynamics and its implications for ecosystem services and livelihoods of Budongo forest adjacent communities. Environmental Research Letters. 20(4). 44007–44007.

Wanyama, Fredrick O., et al.. (2023). Tree functional composition, functional diversity, and aboveground biomass show dissimilar trajectories in a tropical secondary forest restored through assisted natural regeneration. Ecology and Evolution. 13(3). e9870–e9870. 3 indexed citations

Majaliwa, J. G. M., et al.. (2022). Projected climate in coffee-based farming systems: implications for crop suitability in Uganda. Regional Environmental Change. 22(3). 13 indexed citations

Wanyama, Fredrick O., et al.. (2022). Does restoration success vary with tree size under restoration plantings and regrowth forests?. Conservation Science and Practice. 4(9). 1 indexed citations

Salk, Carl, Robin L. Chazdon, & Daniel Waiswa. (2020). Thinking outside the plot: monitoring forest biodiversity for social-ecological research. Ecology and Society. 25(1). 9 indexed citations

Bamutaze, Yazidhi, et al.. (2020). Impacts of land use and land cover change in response to different driving forces in Uganda: evidence from a review. African Geographical Review. 40(4). 378–394. 24 indexed citations

Waiswa, Daniel, et al.. (2018). A Comparative Analysis Of The Performance Of Cosmo And Wrf Models In Quantitative Rainfall Prediction. Zenodo (CERN European Organization for Nuclear Research). 12(2). 130–138. 3 indexed citations

Waiswa, Daniel, et al.. (2017). Assessing the Performance of WRF Model in Simulating Rainfall over Western Uganda. 5(1). 19 indexed citations

Russell, A., et al.. (2017). Trends in forest conditions and implications for resilience to climate change under differing forest governance regimes: the case of Mount Elgon, East Africa. Center for International Forestry Research (CIFOR) eBooks. 2 indexed citations

10.

Waiswa, Daniel, et al.. (2017). Spatial Variation Of Wrf Model Rainfall Prediction Over Uganda. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations

11.

Waiswa, Daniel, et al.. (2016). Comparison of Parametric and Nonparametric Methods for Analyzing the Bias of a Numerical Model. Modelling and Simulation in Engineering. 2016. 1–7. 12 indexed citations

12.

Mwavu, Edward N., et al.. (2016). Agrobiodiversity of homegardens in a commercial sugarcane cultivation land matrix in Uganda. International Journal of Biodiversity Science Ecosystems Services & Management. 12(3). 191–201. 13 indexed citations

13.

Mesquita, Michel d. S., et al.. (2016). Patterns of Dekadal Rainfall Variation Over a Selected Region in Lake Victoria Basin, Uganda. Atmosphere. 7(11). 150–150. 22 indexed citations

14.

Waiswa, Daniel, Marc J. Stern, & Stephen P. Prisley. (2015). Drivers of Deforestation in the Lake Victoria Crescent, Uganda. Journal of Sustainable Forestry. 34(3). 259–275. 13 indexed citations

15.

Amateis, Ralph L., Harold E. Burkhart, & Daniel Waiswa. (2013). Estimating annual growth losses from drought in loblolly pine plantations. 175. 193–196. 2 indexed citations

16.

Agea, Jacob Godfrey, et al.. (2010). Farmers' Attitudes Towards On-Farm Cultivation of Indigenous Fruit Trees in Adwari Sub-County, Lira District, Uganda. OpenSIUC (Southern Illinois University Carbondale). 2010(3). 13. 5 indexed citations

17.

Agea, Jacob Godfrey, et al.. (2009). Attitudes of Out-of-School Youths towards Tree Planting Activities in Central Uganda: A Case Study of Masaka District. Discovery and Innovation. 21(1-2). 4 indexed citations

18.

Agea, Jacob Godfrey, et al.. (2007). Diversity of indigenous fruit trees in the traditional cotton‐millet farming system: the case of Adwari subcounty, Lira district, Uganda. African Journal of Ecology. 45(s3). 39–43. 20 indexed citations

19.

Agea, Jacob Godfrey, et al.. (2005). Ecology and Conservation of Acacia senegal in the Rangelands ofLuwero and Nakasongola Districts. Uganda Journal of Agricultural Sciences. 11(1). 40–46. 2 indexed citations

20.

Agea, Jacob Godfrey, et al.. (2005). Agroforestry potential of Acacia senegal in the rangelands of luwero and Nakasongola districts. Uganda Journal of Agricultural Sciences. 11(1). 34–39. 4 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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