Peter R. Waylen

3.5k total citations
100 papers, 2.7k citations indexed

About

Peter R. Waylen is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Peter R. Waylen has authored 100 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Global and Planetary Change, 33 papers in Atmospheric Science and 31 papers in Water Science and Technology. Recurrent topics in Peter R. Waylen's work include Climate variability and models (52 papers), Hydrology and Drought Analysis (50 papers) and Hydrology and Watershed Management Studies (30 papers). Peter R. Waylen is often cited by papers focused on Climate variability and models (52 papers), Hydrology and Drought Analysis (50 papers) and Hydrology and Watershed Management Studies (30 papers). Peter R. Waylen collaborates with scholars based in United States, Canada and Costa Rica. Peter R. Waylen's co-authors include Ming‐ko Woo, Kwadwo Owusu, Germán Poveda, César N. Caviedes, Roger S. Pulwarty, David Keellings, Jane Southworth, Andrea E. Gaughan, J. M. Harrison and Simon J. Mason and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Climate.

In The Last Decade

Peter R. Waylen

99 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter R. Waylen United States 28 1.9k 923 704 498 252 100 2.7k
Daniel Andrés Rodríguez Brazil 26 1.6k 0.9× 503 0.5× 853 1.2× 591 1.2× 219 0.9× 79 2.7k
Gilvan Sampaio Brazil 22 2.4k 1.3× 837 0.9× 584 0.8× 850 1.7× 207 0.8× 68 3.4k
José Marengo Brazil 18 2.2k 1.2× 1.2k 1.3× 504 0.7× 498 1.0× 129 0.5× 35 2.8k
Juan Pablo Boisier Chile 20 2.3k 1.2× 1.3k 1.4× 854 1.2× 507 1.0× 232 0.9× 35 3.4k
C. McSweeney United Kingdom 21 1.9k 1.0× 1.0k 1.1× 393 0.6× 294 0.6× 495 2.0× 57 2.7k
James R. Angel United States 21 1.8k 1.0× 727 0.8× 585 0.8× 287 0.6× 379 1.5× 65 2.5k
Anna Ukkola Australia 24 2.7k 1.5× 1.0k 1.1× 619 0.9× 373 0.7× 311 1.2× 52 3.1k
Danielle Touma United States 15 2.2k 1.2× 928 1.0× 550 0.8× 332 0.7× 423 1.7× 24 2.9k
Stéphane Goyette Switzerland 23 1.7k 0.9× 1.5k 1.6× 534 0.8× 349 0.7× 204 0.8× 54 3.0k
Martin C. Todd United Kingdom 29 1.8k 1.0× 1.2k 1.3× 911 1.3× 270 0.5× 289 1.1× 62 2.9k

Countries citing papers authored by Peter R. Waylen

Since Specialization
Citations

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

Fields of papers citing papers by Peter R. Waylen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter R. Waylen. 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 Peter R. Waylen. The network helps show where Peter R. Waylen may publish in the future.

Co-authorship network of co-authors of Peter R. Waylen

This figure shows the co-authorship network connecting the top 25 collaborators of Peter R. Waylen. A scholar is included among the top collaborators of Peter R. Waylen 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 Peter R. Waylen. Peter R. Waylen 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.
Waylen, Peter R., et al.. (2023). Spatial and temporal variability in the characteristics of extreme daily rainfalls in Ghana. Natural Hazards. 117(1). 655–680. 2 indexed citations
2.
Southworth, Jane, et al.. (2023). Latitudes and land use: Global biome shifts in vegetation persistence across three decades. SHILAP Revista de lepidopterología. 4. 2 indexed citations
3.
Waylen, Peter R., et al.. (2020). A Healthy Park Needs Healthy Vegetation: The Story of Gorongosa National Park in the 21st Century. Remote Sensing. 12(3). 476–476. 19 indexed citations
4.
Waylen, Peter R., et al.. (2019). Interannual Hydroclimatic Variability of the Lake Mweru Basin, Zambia. Water. 11(9). 1801–1801. 5 indexed citations
5.
Southworth, Jane, Erin Bunting, Likai Zhu, et al.. (2018). Using a coupled dynamic factor – random forest analysis (DFRFA) to reveal drivers of spatiotemporal heterogeneity in the semi-arid regions of southern Africa. PLoS ONE. 13(12). e0208400–e0208400. 5 indexed citations
6.
Bunting, Erin, et al.. (2018). Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa. Remote Sensing. 10(7). 1013–1013. 15 indexed citations
7.
Waylen, Peter R., et al.. (2015). ENSO related fluctiations of rainfall and their consequences for some rodent populations in North Central Chile. 1 indexed citations
8.
Gibbes, Cerian, Jane Southworth, Peter R. Waylen, & Brian Child. (2014). Climate variability as a dominant driver of post-disturbance savanna dynamics. Applied Geography. 53. 389–401. 16 indexed citations
9.
Campo‐Bescós, Miguel Ángel, Rafael Muñoz‐Carpena, David Kaplan, et al.. (2013). Beyond Precipitation: Physiographic Gradients Dictate the Relative Importance of Environmental Drivers on Savanna Vegetation. PLoS ONE. 8(8). e72348–e72348. 46 indexed citations
10.
Waylen, Peter R., et al.. (2013). Análisis climático de la precipitación anual e interanual en la cuenca media del río Grande de San Ramón, Costa Rica. Investigative News in Education (Universidad de Costa Rica). 3–3. 1 indexed citations
11.
Waylen, Peter R., et al.. (2006). FORECASTING DRY SEASON STREAMFLOW ON THE PEACE RIVER AT ARCADIA, FLORIDA, USA. JAWRA Journal of the American Water Resources Association. 42(4). 851–862. 7 indexed citations
12.
Waylen, Peter R., et al.. (1996). A NOTE ON THE TIMING OF PRECIPITATION VARIABILITY IN ZIMBABWE AS RELATED TO THE SOUTHERN OSCILLATION. International Journal of Climatology. 16(10). 1137–1148. 13 indexed citations
13.
Waylen, Peter R., et al.. (1993). REGIONAL VARIATIONS IN FLOW-DURATION CURVES FOR RIVERS IN BRITISH COLUMBIA, CANADA. Physical Geography. 14(4). 359–378. 22 indexed citations
14.
Waylen, Peter R., et al.. (1993). EL NIÑO-SOUTHERN OSCILLATION AND THE SURFACE HYDROLOGY OF CHILE: A WINDOW ON THE FUTURE?. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 18(4). 425–441. 7 indexed citations
15.
Waylen, Peter R.. (1991). Modeling the effects of tropical cyclones on flooding in the Santa Fe river basin, Florida. GeoJournal. 23(4). 11 indexed citations
16.
Waylen, Peter R., et al.. (1990). Spatial variability of annual precipitation and ENSO events in western Peru. Hydrological Sciences Journal. 35(4). 429–446. 55 indexed citations
17.
Woo, Ming‐ko & Peter R. Waylen. (1988). Interbasin Water Transfers and the Régimes of Three Northwestern Ontario Rivers. Canadian Geographies / Géographies canadiennes. 32(4). 319–327. 2 indexed citations
18.
Waylen, Peter R., et al.. (1988). ANALYSIS and PREDICTION OF ABNORMALLY COLD SPELLS IN SOUTHERN SASKATCHEWAN. Canadian Geographies / Géographies canadiennes. 32(3). 223–236. 1 indexed citations
19.
Waylen, Peter R., et al.. (1988). Stochastic Analysis of Cold Spells. Journal of Applied Meteorology. 27(1). 67–76. 16 indexed citations
20.
Waylen, Peter R.. (1985). A method of predicting daily peak flows in the high-flow season. Journal of Hydrology. 77(1-4). 89–105. 5 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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