Ditiro B. Moalafhi

907 total citations
29 papers, 646 citations indexed

About

Ditiro B. Moalafhi is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Ditiro B. Moalafhi has authored 29 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 9 papers in Atmospheric Science. Recurrent topics in Ditiro B. Moalafhi's work include Climate variability and models (14 papers), Hydrology and Drought Analysis (13 papers) and Hydrology and Watershed Management Studies (9 papers). Ditiro B. Moalafhi is often cited by papers focused on Climate variability and models (14 papers), Hydrology and Drought Analysis (13 papers) and Hydrology and Watershed Management Studies (9 papers). Ditiro B. Moalafhi collaborates with scholars based in Botswana, Uganda and Australia. Ditiro B. Moalafhi's co-authors include B.P. Parida, Piet K. Kenabatho, Jason P. Evans, Ashish Sharma, Jiaguo Qi, Yashon O. Ouma, Rajeshwar Mehrotra, Eytan Rocheta, G. Joyce and Mark Stephens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agricultural and Forest Meteorology and Sustainability.

In The Last Decade

Ditiro B. Moalafhi

27 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ditiro B. Moalafhi Botswana 14 493 188 147 105 82 29 646
Naveed Ahmed China 14 377 0.8× 170 0.9× 218 1.5× 104 1.0× 75 0.9× 33 604
Thompson Annor Ghana 15 445 0.9× 234 1.2× 194 1.3× 74 0.7× 58 0.7× 33 641
Piet K. Kenabatho Botswana 15 441 0.9× 115 0.6× 168 1.1× 128 1.2× 83 1.0× 30 638
Sayang Mohd Deni Malaysia 14 547 1.1× 289 1.5× 144 1.0× 160 1.5× 59 0.7× 51 807
Irfan Ullah China 13 539 1.1× 200 1.1× 146 1.0× 111 1.1× 148 1.8× 29 735
Tiexi Chen China 17 642 1.3× 243 1.3× 177 1.2× 173 1.6× 62 0.8× 51 872
Abdou Khouakhi United Kingdom 14 610 1.2× 399 2.1× 196 1.3× 145 1.4× 48 0.6× 30 903
Aiqing Feng China 13 326 0.7× 153 0.8× 123 0.8× 78 0.7× 37 0.5× 32 477
K. Koteswara Rao India 15 538 1.1× 330 1.8× 108 0.7× 84 0.8× 115 1.4× 39 691
Zonghan Ma China 12 318 0.6× 79 0.4× 141 1.0× 73 0.7× 69 0.8× 29 461

Countries citing papers authored by Ditiro B. Moalafhi

Since Specialization
Citations

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

Fields of papers citing papers by Ditiro B. Moalafhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ditiro B. Moalafhi. 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 Ditiro B. Moalafhi. The network helps show where Ditiro B. Moalafhi may publish in the future.

Co-authorship network of co-authors of Ditiro B. Moalafhi

This figure shows the co-authorship network connecting the top 25 collaborators of Ditiro B. Moalafhi. A scholar is included among the top collaborators of Ditiro B. Moalafhi 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 Ditiro B. Moalafhi. Ditiro B. Moalafhi 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.
Ouma, Yashon O., et al.. (2024). Enhancing Water Level Prediction through a Hybrid Feature Selection Approach. 14(3s). 278–282. 1 indexed citations
2.
3.
Nadarajah, Saralees, et al.. (2024). Assessing the occurrence of annual maximum daily discharge for five of the longest rivers in Africa. Environmental and Ecological Statistics. 31(3). 841–863. 1 indexed citations
4.
Ouma, Yashon O., et al.. (2023). Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach. European Journal of Remote Sensing. 56(1). 35 indexed citations
5.
Moalafhi, Ditiro B., et al.. (2022). Investigating groundwater recharge potential of Notwane catchment in Botswana using geophysical and geospatial tools. Journal of Hydrology Regional Studies. 40. 101011–101011. 8 indexed citations
6.
Ouma, Yashon O., et al.. (2022). Dam Water Level Prediction Using Vector AutoRegression, Random Forest Regression and MLP-ANN Models Based on Land-Use and Climate Factors. Sustainability. 14(22). 14934–14934. 18 indexed citations
7.
Ouma, Yashon O., et al.. (2022). COMPARISON OF MACHINE LEARNING CLASSIFIERS FOR MULTITEMPORAL AND MULTISENSOR MAPPING OF URBAN LULC FEATURES. SHILAP Revista de lepidopterología. XLIII-B3-2022. 681–689. 36 indexed citations
8.
Moalafhi, Ditiro B., et al.. (2022). Evaluation of national disaster management strategy and planning for flood management and impact reduction in Gaborone, Botswana. International Journal of Disaster Risk Reduction. 74. 102939–102939. 5 indexed citations
9.
Parida, B.P., et al.. (2019). Investigating relationship between drought severity in Botswana and ENSO. Natural Hazards. 100(1). 255–278. 13 indexed citations
10.
Parida, B.P., et al.. (2018). Analysis of long term drought severity characteristics and trends across semiarid Botswana using two drought indices. Atmospheric Research. 213. 492–508. 100 indexed citations
11.
Moalafhi, Ditiro B., et al.. (2018). Predictability of daily precipitation using data from newly established automated weather stations over Notwane catchment in Botswana. Biodiversity & Ecology. 6. 46–51. 2 indexed citations
12.
Parida, B.P., et al.. (2018). Analysis of rainfall and temperature time series to detect long-term climatic trends and variability over semi-arid Botswana. Journal of Earth System Science. 127(2). 41 indexed citations
13.
Moalafhi, Ditiro B., Ashish Sharma, Jason P. Evans, Rajeshwar Mehrotra, & Eytan Rocheta. (2017). Impact of bias‐corrected reanalysis‐derived lateral boundary conditions on WRF simulations. Journal of Advances in Modeling Earth Systems. 9(4). 1828–1846. 13 indexed citations
14.
Kenabatho, Piet K., B.P. Parida, & Ditiro B. Moalafhi. (2017). Evaluation of satellite and simulated rainfall products for hydrological applications in the Notwane catchment, Botswana. Physics and Chemistry of the Earth Parts A/B/C. 100. 19–30. 12 indexed citations
15.
Moalafhi, Ditiro B., Ashish Sharma, & Jason P. Evans. (2017). Reconstructing hydro-climatological data using dynamical downscaling of reanalysis products in data-sparse regions – Application to the Limpopo catchment in southern Africa. Journal of Hydrology Regional Studies. 12. 378–395. 7 indexed citations
16.
Moalafhi, Ditiro B., Jason P. Evans, & Ashish Sharma. (2016). Evaluating global reanalysis datasets for provision of boundary conditions in regional climate modelling. Climate Dynamics. 47(9-10). 2727–2745. 22 indexed citations
17.
Moalafhi, Ditiro B., Jason P. Evans, & Ashish Sharma. (2016). Influence of reanalysis datasets on dynamically downscaling the recent past. Climate Dynamics. 49(4). 1239–1255. 18 indexed citations
18.
19.
Parida, B.P., et al.. (2008). Trend analysis of rainfall in the headstreams of the Zambezi River Basin in Zambia. Physics and Chemistry of the Earth Parts A/B/C. 33(8-13). 621–625. 122 indexed citations
20.
Parida, B.P., Ditiro B. Moalafhi, & Piet K. Kenabatho. (2006). Forecasting runoff coefficients using ANN for water resources management: The case of Notwane catchment in Eastern Botswana. Physics and Chemistry of the Earth Parts A/B/C. 31(15-16). 928–934. 24 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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