G. M. Guenang
- Global and Planetary Change top 5%
- Atmospheric Science top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Water Science and Technology
- Oceanography
- Co-authors
- F. Mkankam KamgaDerbetini A. VondouLucie A. Djiotang TchotchouPierre Honoré Kamsu TamoThierry C. Fotso‐NguemoRoméo S. TanessongGrigory NikulinRachel James
- Topics
- Climate variability and models (26 papers)Meteorological Phenomena and Simulations (16 papers)Precipitation Measurement and Analysis (11 papers)
In The Last Decade
G. M. Guenang
25 papers receiving 387 citations
Peers
Comparison fields: 5 of 40
- Global and Planetary Change 359
- Atmospheric Science 212
- Ecology, Evolution, Behavior and Systematics 80
- Water Science and Technology 64
- Oceanography 19
Countries citing papers authored by G. M. Guenang
This map shows the geographic impact of G. M. Guenang'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 G. M. Guenang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. M. Guenang more than expected).
Fields of papers citing papers by G. M. Guenang
This network shows the impact of papers produced by G. M. Guenang. 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 G. M. Guenang. The network helps show where G. M. Guenang may publish in the future.
Co-authorship network of co-authors of G. M. Guenang
This figure shows the co-authorship network connecting the top 25 collaborators of G. M. Guenang. A scholar is included among the top collaborators of G. M. Guenang 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 G. M. Guenang. G. M. Guenang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 28 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 56 | |
| 16 | Process-oriented assessment of RCA4 regional climate model projections over the Congo Basin under [Formula: see text] and [Formula: see text] global warming levels: influence of regional moisture fluxes | 1 |
| 17 | 6 | |
| 18 | 60 | |
| 19 | 3 | |
| 20 | 17 |
About G. M. Guenang
G. M. Guenang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 27 papers that have together received 394 indexed citations. Recurring topics across this work include Climate variability and models (26 papers), Meteorological Phenomena and Simulations (16 papers) and Precipitation Measurement and Analysis (11 papers). The work is most often cited by research in Global and Planetary Change (359 citations), Atmospheric Science (212 citations) and Water Science and Technology (64 citations). G. M. Guenang has collaborated with scholars based in Cameroon, Italy and Germany. Frequent co-authors include F. Mkankam Kamga, Derbetini A. Vondou, Lucie A. Djiotang Tchotchou, Pierre Honoré Kamsu Tamo, Thierry C. Fotso‐Nguemo, Roméo S. Tanessong, Grigory Nikulin, Rachel James, Alessandro Dosio and Andreas Haensler. Their work appears in journals such as Sustainability, Environmental Research Letters and Climate Dynamics.
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.