William Weeks

502 total citations
11 papers, 263 citations indexed

About

William Weeks is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, William Weeks has authored 11 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 8 papers in Water Science and Technology and 5 papers in Environmental Engineering. Recurrent topics in William Weeks's work include Hydrology and Drought Analysis (9 papers), Hydrology and Watershed Management Studies (8 papers) and Geophysics and Gravity Measurements (4 papers). William Weeks is often cited by papers focused on Hydrology and Drought Analysis (9 papers), Hydrology and Watershed Management Studies (8 papers) and Geophysics and Gravity Measurements (4 papers). William Weeks collaborates with scholars based in Australia. William Weeks's co-authors include I Testoni, PE Weinmann, Rory Nathan, JE Ball, Mark Babister, M Retallick, Walter Boughton, Ataur Rahman, Khaled Haddad and Mohammad Zaman and has published in prestigious journals such as Journal of Hydrology, Hydrology research and Minerva Access (University of Melbourne).

In The Last Decade

William Weeks

10 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Weeks Australia	4	214	168	59	38	20	11	263
Mark Babister Australia	5	201 0.9×	141 0.8×	50 0.8×	35 0.9×	20 1.0×	17	240
Mohammad Zaman Australia	8	322 1.5×	195 1.2×	69 1.2×	53 1.4×	24 1.2×	15	387
M Retallick	2	169 0.8×	122 0.7×	40 0.7×	33 0.9×	20 1.0×	5	207
I Testoni Australia	2	170 0.8×	121 0.7×	40 0.7×	31 0.8×	20 1.0×	3	208
Pankaj Mani India	6	263 1.2×	177 1.1×	102 1.7×	75 2.0×	11 0.6×	6	300
Yousef Ramezani Iran	12	272 1.3×	151 0.9×	52 0.9×	32 0.8×	10 0.5×	32	330
Tibebu B. Ayalew United States	11	265 1.2×	260 1.5×	47 0.8×	39 1.0×	24 1.2×	15	347
Laurène Bouaziz Netherlands	8	205 1.0×	215 1.3×	108 1.8×	57 1.5×	22 1.1×	17	281
Christian Dobler Austria	7	290 1.4×	246 1.5×	40 0.7×	104 2.7×	17 0.8×	7	332
PE Weinmann Australia	6	428 2.0×	341 2.0×	90 1.5×	63 1.7×	30 1.5×	21	488

Countries citing papers authored by William Weeks

Since Specialization

Citations

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

Fields of papers citing papers by William Weeks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Weeks

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

All Works

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11 of 11 papers shown

1.

Ball, JE, Mark Babister, Rory Nathan, et al.. (2016). Australian Rainfall and Runoff: A Guide to Flood Estimation. Minerva Access (University of Melbourne). 201 indexed citations

2.

Haque, Md. Mahmudul, et al.. (2015). Development of a regional flood frequency estimation model for Pilbara, Australia. 2 indexed citations

3.

Rahman, Ataur, Khaled Haddad, Md. Mahmudul Haque, et al.. (2015). The new regional flood frequency estimation model for Australia : RFFE model 2015. 184. 1 indexed citations

4.

Rahman, Ataur, et al.. (2012). Regional flood estimation in Australia: An overview of the study for the upgrade of 'Australian Rainfall and Runoff'. NOVA (University of Newcastle Australia). 1441–1448. 3 indexed citations

5.

Rahman, Ataur, et al.. (2012). Development of a new regional flood frequency analysis method for semi-arid and arid regions of Australia. NOVA (University of Newcastle Australia). 1433–1440. 3 indexed citations

6.

Haddad, Khaled, et al.. (2011). Towards a new regional flood frequency analysis method for Western Australia. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 4 indexed citations

7.

Rahman, Ataur, et al.. (2008). Development of regional flood estimation methods using quantile regression technique : a case study for north-eastern part of Queensland. 329. 3 indexed citations

8.

Weeks, William. (2006). Northern Territory hydrology: the Alice Springs to Darwin railway.

9.

Weeks, William & Walter Boughton. (1987). Tests of ARMA model forms for rainfall-runoff modelling. Journal of Hydrology. 91(1-2). 29–47. 25 indexed citations

10.

Weeks, William, et al.. (1980). A Comparison of Rainfall-Runoff Models. Hydrology research. 11(1). 7–24. 19 indexed citations

11.

Ashkanasy, Neal M. & William Weeks. (1975). FLOOD FREQUENCY DISTRIBUTION IN A CATCHMENT SUBJECT TO TWO STORM RAINFALL PRODUCING MECHANISMS. Queensland's institutional digital repository (The University of Queensland). 153–157. 2 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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