Hamida Ngoma

1.1k total citations
17 papers, 748 citations indexed

About

Hamida Ngoma is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hamida Ngoma has authored 17 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hamida Ngoma's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (11 papers) and Climate change impacts on agriculture (5 papers). Hamida Ngoma is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (11 papers) and Climate change impacts on agriculture (5 papers). Hamida Ngoma collaborates with scholars based in China, Uganda and Morocco. Hamida Ngoma's co-authors include Brian Ayugi, Hassen Babaousmail, Victor Ongoma, Rizwan Karim, Victor Nnamdi Dike, Wen Wang, Moses Ojara, Zhihong Jiang, Huanhuan Zhu and Richard Mumo and has published in prestigious journals such as International Journal of Climatology, Environmental Research Letters and Atmospheric Research.

In The Last Decade

Hamida Ngoma

17 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamida Ngoma China	13	666	397	181	114	56	17	748
Hussen Seid Endris Italy	10	592 0.9×	405 1.0×	165 0.9×	109 1.0×	54 1.0×	13	686
Huanhuan Zhu China	7	602 0.9×	385 1.0×	130 0.7×	128 1.1×	48 0.9×	11	714
Andreas Hänsler Germany	7	732 1.1×	510 1.3×	167 0.9×	121 1.1×	38 0.7×	10	855
Hassen Babaousmail China	17	883 1.3×	527 1.3×	234 1.3×	159 1.4×	65 1.2×	36	1.0k
Victor Nnamdi Dike China	12	512 0.8×	282 0.7×	160 0.9×	76 0.7×	45 0.8×	27	644
Mary Kilavi United Kingdom	10	542 0.8×	307 0.8×	175 1.0×	72 0.6×	70 1.3×	12	722
Ruth Cerezo‐Mota Mexico	10	772 1.2×	626 1.6×	134 0.7×	90 0.8×	88 1.6×	17	881
K. Koteswara Rao India	15	538 0.8×	330 0.8×	115 0.6×	108 0.9×	48 0.9×	39	691
Caroline M. Wainwright United Kingdom	10	511 0.8×	325 0.8×	117 0.6×	74 0.6×	75 1.3×	24	676
Kenny Thiam Choy Lim Kam Sian China	14	445 0.7×	281 0.7×	101 0.6×	82 0.7×	85 1.5×	55	596

Countries citing papers authored by Hamida Ngoma

Since Specialization

Citations

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

Fields of papers citing papers by Hamida Ngoma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamida Ngoma

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

All Works

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17 of 17 papers shown

Babaousmail, Hassen, Brian Ayugi, Moses Ojara, et al.. (2023). Evaluation of CMIP6 models for simulations of diurnal temperature range over Africa. Journal of African Earth Sciences. 202. 104944–104944. 7 indexed citations

Babaousmail, Hassen, Brian Ayugi, Moses Ojara, et al.. (2023). Projection of the diurnal temperature range over Africa based on CMIP6 simulations. Journal of African Earth Sciences. 200. 104883–104883. 2 indexed citations

Karim, Rizwan, Guirong Tan, Brian Ayugi, et al.. (2023). Projected changes in surface air temperature over Pakistan under bias-constrained CMIP6 models. Arabian Journal of Geosciences. 16(3). 6 indexed citations

Ayugi, Brian, Zhihong Jiang, Vedaste Iyakaremye, et al.. (2022). East African population exposure to precipitation extremes under 1.5 °C and 2.0 °C warming levels based on CMIP6 models. Environmental Research Letters. 17(4). 44051–44051. 32 indexed citations

Ngoma, Hamida, Brian Ayugi, Charles Onyutha, et al.. (2022). Projected changes in rainfall over Uganda based on CMIP6 models. Theoretical and Applied Climatology. 149(3-4). 1117–1134. 15 indexed citations

Karim, Rizwan, et al.. (2022). Winter surface air temperature variation over Pakistan during 1970–2014 and its principal drivers in the tropical ocean. Journal of Atmospheric and Solar-Terrestrial Physics. 242. 105996–105996. 3 indexed citations

Babaousmail, Hassen, Brian Ayugi, Moses Ojara, et al.. (2021). Evaluation of the Performance of CMIP6 Models in Reproducing Rainfall Patterns over North Africa. Atmosphere. 12(4). 475–475. 87 indexed citations

Zhi, Xiefei, Irfan Ullah, Kamran Azam, et al.. (2021). Recent variability of sub‐seasonal monsoon precipitation and its potential drivers in Myanmar using in‐situ observation during 1981–2020. International Journal of Climatology. 42(6). 3341–3359. 42 indexed citations

Ayugi, Brian, Victor Nnamdi Dike, Hamida Ngoma, et al.. (2021). Future Changes in Precipitation Extremes over East Africa Based on CMIP6 Models. Water. 13(17). 2358–2358. 80 indexed citations

10.

Bi, Shuoben, Brian Ayugi, Beibei Li, et al.. (2021). Observed and Coupled Model Intercomparison Project 6 multimodel simulated changes in near‐surface temperature properties over Ghana during the 20th century. International Journal of Climatology. 42(7). 3681–3701. 19 indexed citations

11.

Ngoma, Hamida, Wen Wang, Moses Ojara, & Brian Ayugi. (2021). Assessing current and future spatiotemporal precipitation variability and trends over Uganda, East Africa, based on CHIRPS and regional climate model datasets. Meteorology and Atmospheric Physics. 133(3). 823–843. 71 indexed citations

12.

Onyutha, Charles, et al.. (2021). Observed and Future Precipitation and Evapotranspiration in Water Management Zones of Uganda: CMIP6 Projections. Atmosphere. 12(7). 887–887. 26 indexed citations

13.

Ayugi, Brian, Zhihong Jiang, Huanhuan Zhu, et al.. (2021). Comparison of CMIP6 and CMIP5 models in simulating mean and extreme precipitation over East Africa. International Journal of Climatology. 41(15). 6474–6496. 151 indexed citations

14.

Ayugi, Brian, Hamida Ngoma, Hassen Babaousmail, et al.. (2021). Evaluation and projection of mean surface temperature using CMIP6 models over East Africa. Journal of African Earth Sciences. 181. 104226–104226. 64 indexed citations

15.

Ngoma, Hamida, Wen Wang, Brian Ayugi, et al.. (2021). Evaluation of precipitation simulations in CMIP6 models over Uganda. International Journal of Climatology. 41(9). 4743–4768. 82 indexed citations

16.

Ngoma, Hamida, et al.. (2021). Mechanisms associated with September to November (SON) rainfall over Uganda during the recent decades. Geographica Pannonica. 25(1). 10–23. 13 indexed citations

17.

Tan, Guirong, Brian Ayugi, Hamida Ngoma, & Victor Ongoma. (2020). Projections of future meteorological drought events under representative concentration pathways (RCPs) of CMIP5 over Kenya, East Africa. Atmospheric Research. 246. 105112–105112. 48 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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