Geoffrey Pegram

1.9k total citations
40 papers, 1.4k citations indexed

About

Geoffrey Pegram is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Geoffrey Pegram has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 19 papers in Water Science and Technology and 14 papers in Atmospheric Science. Recurrent topics in Geoffrey Pegram's work include Hydrology and Drought Analysis (26 papers), Hydrology and Watershed Management Studies (19 papers) and Climate variability and models (13 papers). Geoffrey Pegram is often cited by papers focused on Hydrology and Drought Analysis (26 papers), Hydrology and Watershed Management Studies (19 papers) and Climate variability and models (13 papers). Geoffrey Pegram collaborates with scholars based in South Africa, Germany and Australia. Geoffrey Pegram's co-authors include András Bàrdossy, Murray Peel, Thomas A. McMahon, Richard M. Vogel, R. Srikanthan, Marc Berenguer, Daniel Sempere‐Torres, Ross Sparks, Walter Zucchini and Ahmed El Kenawy and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Geoffrey Pegram

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoffrey Pegram South Africa 23 1.0k 673 488 213 193 40 1.4k
R. Srikanthan Australia 16 1.4k 1.4× 862 1.3× 471 1.0× 259 1.2× 257 1.3× 69 1.7k
Uwe Ehret Germany 18 1.2k 1.2× 828 1.2× 604 1.2× 318 1.5× 74 0.4× 53 1.6k
Renata J. Romanowicz Poland 23 1.3k 1.3× 1.3k 1.9× 287 0.6× 436 2.0× 111 0.6× 77 1.8k
Alfonso Senatore Italy 22 996 1.0× 700 1.0× 456 0.9× 225 1.1× 80 0.4× 63 1.4k
Saeed Golian Iran 22 1.2k 1.2× 587 0.9× 658 1.3× 379 1.8× 85 0.4× 59 1.6k
Chiara Corbari Italy 21 796 0.8× 522 0.8× 242 0.5× 420 2.0× 102 0.5× 83 1.2k
Mohammad Reza Najafi Canada 25 1.6k 1.5× 754 1.1× 900 1.8× 309 1.5× 93 0.5× 77 2.0k
Kaz Adamowski Canada 21 912 0.9× 563 0.8× 265 0.5× 323 1.5× 231 1.2× 30 1.3k
Elena Volpi Italy 25 974 1.0× 672 1.0× 297 0.6× 302 1.4× 129 0.7× 54 1.3k
Songbai Song China 18 1.3k 1.3× 679 1.0× 267 0.5× 221 1.0× 165 0.9× 82 1.6k

Countries citing papers authored by Geoffrey Pegram

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Pegram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Pegram

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Pegram. A scholar is included among the top collaborators of Geoffrey Pegram 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 Geoffrey Pegram. Geoffrey Pegram 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.
Bàrdossy, András & Geoffrey Pegram. (2018). Intensity–duration–frequency curves exploiting neighbouring extreme precipitation data. Hydrological Sciences Journal. 63(11). 1593–1604. 3 indexed citations
2.
Bàrdossy, András, et al.. (2016). Investigation of hydrological time series using copulas for detectingcatchment characteristics and anthropogenic impacts. Hydrology and earth system sciences. 20(7). 2705–2720. 17 indexed citations
3.
Bàrdossy, András, et al.. (2015). Circulation patterns identified by spatial rainfall and ocean wave fields in Southern Africa. Frontiers in Environmental Science. 3. 8 indexed citations
4.
Gyasi‐Agyei, Yeboah & Geoffrey Pegram. (2014). Interpolation of daily rainfall networks using simulated radar fields for realistic hydrological modelling of spatial rain field ensembles. Journal of Hydrology. 519. 777–791. 22 indexed citations
5.
Bàrdossy, András & Geoffrey Pegram. (2014). Infilling missing precipitation records – A comparison of a new copula-based method with other techniques. Journal of Hydrology. 519. 1162–1170. 67 indexed citations
6.
Bàrdossy, András & Geoffrey Pegram. (2013). Interpolation of precipitation under topographic influence at different time scales. Water Resources Research. 49(8). 4545–4565. 75 indexed citations
7.
Vicente‐Serrano, Sergio M., Santiago Beguerı́a, Luís Gimeno, et al.. (2012). Challenges for drought mitigation in Africa: The potential use of geospatial data and drought information systems. Applied Geography. 34. 471–486. 139 indexed citations
8.
Bàrdossy, András & Geoffrey Pegram. (2012). Multiscale spatial recorrelation of RCM precipitation to produce unbiased climate change scenarios over large areas and small. Water Resources Research. 48(9). 51 indexed citations
9.
McMahon, Thomas A., Anthony S. Kiem, Murray Peel, Phillip Jordan, & Geoffrey Pegram. (2008). A New Approach to Stochastically Generating Six-Monthly Rainfall Sequences Based on Empirical Mode Decomposition. Journal of Hydrometeorology. 9(6). 1377–1389. 27 indexed citations
10.
McMahon, Thomas A., Richard M. Vogel, Murray Peel, & Geoffrey Pegram. (2007). Global streamflows – Part 1: Characteristics of annual streamflows. Journal of Hydrology. 347(3-4). 243–259. 94 indexed citations
11.
McMahon, Thomas A., Geoffrey Pegram, Richard M. Vogel, & Murray Peel. (2007). Review of Gould–Dincer reservoir storage–yield–reliability estimates. Advances in Water Resources. 30(9). 1873–1882. 37 indexed citations
12.
Srikanthan, R. & Geoffrey Pegram. (2006). Stochastic Generation of Multi-Site Rainfall Occurrences. 6. 1–10. 2 indexed citations
13.
Berenguer, Marc, et al.. (2006). Modeling the uncertainty associated to radar-based nowcasting techniques. Impact in flow simulation. 575–578. 1 indexed citations
14.
Chiew, Francis H. S., et al.. (2005). Identification of oscillations in historical global streamflow data using empirical mode decomposition.. IAHS-AISH publication. 296. 53–62. 17 indexed citations
15.
Peel, Murray, Geoffrey Pegram, & Thomas A. McMahon. (2004). Global analysis of runs of annual precipitation and runoff equal to or below the median: run length. International Journal of Climatology. 24(7). 807–822. 27 indexed citations
16.
Pegram, Geoffrey, et al.. (1997). Patching rainfall data using regression methods. 2. Comparisons of accuracy, bias and efficiency. Journal of Hydrology. 198(1-4). 308–318. 15 indexed citations
17.
Pegram, Geoffrey. (1997). Patching rainfall data using regression methods. 3. Grouping, patching and outlier detection. Journal of Hydrology. 198(1-4). 319–334. 11 indexed citations
18.
Pegram, Geoffrey, et al.. (1993). Integration of Rainfall via Multiquadric Surfaces over Polygons. Journal of Hydraulic Engineering. 119(2). 151–163. 11 indexed citations
19.
Pegram, Geoffrey. (1988). Revised risk analysis for extreme storms and floods in Natal / KwaZulu. 30(1). 15–20. 7 indexed citations
20.
Pegram, Geoffrey. (1978). Some simple expressions for the probability of failure of a finite reservoir with Markovian input. Geophysical Research Letters. 5(1). 13–15. 3 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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