Alma Schellart

1.3k total citations
58 papers, 975 citations indexed

About

Alma Schellart is a scholar working on Environmental Engineering, Civil and Structural Engineering and Water Science and Technology. According to data from OpenAlex, Alma Schellart has authored 58 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Environmental Engineering, 21 papers in Civil and Structural Engineering and 20 papers in Water Science and Technology. Recurrent topics in Alma Schellart's work include Urban Stormwater Management Solutions (24 papers), Hydrology and Watershed Management Studies (16 papers) and Flood Risk Assessment and Management (16 papers). Alma Schellart is often cited by papers focused on Urban Stormwater Management Solutions (24 papers), Hydrology and Watershed Management Studies (16 papers) and Flood Risk Assessment and Management (16 papers). Alma Schellart collaborates with scholars based in United Kingdom, Germany and Netherlands. Alma Schellart's co-authors include Simon Tait, Miguel A. Rico‐Ramirez, Sara Liguori, A. J. Saul, Will Shepherd, Manoranjan Muthusamy, Mostafa Mohamed, James Shucksmith, Richard Ashley and Rita F. Carvalho and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Water Research and Journal of Cleaner Production.

In The Last Decade

Alma Schellart

52 papers receiving 941 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alma Schellart 502 405 392 237 185 58 975
Vassilis Z. Antonopoulos 324 0.6× 307 0.8× 352 0.9× 64 0.3× 97 0.5× 27 931
Pascal Goderniaux 623 1.2× 273 0.7× 556 1.4× 79 0.3× 154 0.8× 54 1.1k
Philippe Orban 565 1.1× 209 0.5× 480 1.2× 59 0.2× 185 1.0× 81 1.3k
Chao Deng 226 0.5× 353 0.9× 473 1.2× 82 0.3× 107 0.6× 62 1.0k
Tirupati Bolisetti 713 1.4× 557 1.4× 345 0.9× 55 0.2× 242 1.3× 36 1.1k
Xiong Zhou 182 0.4× 524 1.3× 357 0.9× 255 1.1× 57 0.3× 77 1.1k
Amir Hossein Nazemi 640 1.3× 622 1.5× 493 1.3× 41 0.2× 232 1.3× 48 1.4k
Khamaruzaman Wan Yusof 206 0.4× 337 0.8× 252 0.6× 90 0.4× 75 0.4× 80 840
Ghazi Al-Rawas 249 0.5× 259 0.6× 254 0.6× 108 0.5× 139 0.8× 79 857
Nur Shazwani Muhammad 405 0.8× 489 1.2× 415 1.1× 76 0.3× 131 0.7× 64 1.1k

Countries citing papers authored by Alma Schellart

Since Specialization
Citations

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

Fields of papers citing papers by Alma Schellart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alma Schellart

This figure shows the co-authorship network connecting the top 25 collaborators of Alma Schellart. A scholar is included among the top collaborators of Alma Schellart 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 Alma Schellart. Alma Schellart 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.
Schellart, Alma, Jean-Luc Bertrand-Krajewski, Jörg Rieckermann, et al.. (2025). The role of open data in regulating combined sewer overflows. Water Science & Technology. 92(3). 409–425.
2.
Nielsen, Jesper Ellerbæk, Michael R. Rasmussen, Jean-Luc Bertrand-Krajewski, et al.. (2025). The value of urban drainage systems data: facts, discussions and recommendations. Journal of Hydraulic Research. 63(4). 417–424.
3.
Schellart, Alma, et al.. (2024). Flow rate influence on sediment depth estimation in sewers using temperature sensors. Water Science & Technology. 89(11). 3133–3146.
4.
Tait, Simon, et al.. (2024). Evaluating the performance of water distribution network deterioration using customer-oriented performance indices. Water Science & Technology Water Supply. 24(11). 3759–3775.
5.
Loveridge, Fleur, Alma Schellart, Simon Rees, et al.. (2022). Heat recovery and thermal energy storage potential using buried infrastructure in the UK. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 175(1). 10–26. 5 indexed citations
6.
Quaranta, Emanuele, et al.. (2022). Costs and benefits of combined sewer overflow management strategies at the European scale. Journal of Environmental Management. 318. 115629–115629. 36 indexed citations
7.
Quaranta, Emanuele, et al.. (2022). A hydrological model to estimate pollution from combined sewer overflows at the regional scale: Application to Europe. Journal of Hydrology Regional Studies. 41. 101080–101080. 22 indexed citations
8.
Shepherd, Will, et al.. (2021). Thermal energy transfer around buried pipe infrastructure. Geomechanics for Energy and the Environment. 29. 100273–100273. 11 indexed citations
9.
Schellart, Alma, et al.. (2021). Implications of model uncertainty for investment decisions to manage intermittent sewer overflows. Water Research. 194. 116885–116885. 7 indexed citations
10.
Muthusamy, Manoranjan, Omar Wani, Alma Schellart, & Simon Tait. (2018). Accounting for variation in rainfall intensity and surface slope in wash-off model calibration and prediction within the Bayesian framework. Water Research. 143. 561–569. 10 indexed citations
11.
Schellart, Alma, et al.. (2018). Modelling the potential for multi-location in-sewer heat recovery at a city scale under different seasonal scenarios. Water Research. 145. 618–630. 30 indexed citations
12.
Tscheikner-Gratl, Franz, Vasilis Bellos, Alma Schellart, et al.. (2018). Recent insights on uncertainties present in integrated catchment water quality modelling. Water Research. 150. 368–379. 75 indexed citations
13.
Muthusamy, Manoranjan, Alma Schellart, Simon Tait, & G.B.M. Heuvelink. (2017). Geostatistical upscaling of rain gauge data to support uncertainty analysis of lumped urban hydrological models. Hydrology and earth system sciences. 21(2). 1077–1091. 30 indexed citations
14.
Shepherd, W., et al.. (2017). CCWI2017: F88 'Optimising a Fuzzy Logic Real-Time Control System for Sewer Flooding Reduction using a Genetic Algorithm'. TeesRep (Teesside University). 1 indexed citations
15.
Muthusamy, Manoranjan, Alma Schellart, Simon Tait, & G.B.M. Heuvelink. (2016). Geostatistical upscaling of rain gauge data to support uncertainty analysis of lumped urban hydrological models. 3 indexed citations
16.
Mohamed, Mostafa, et al.. (2016). Analysis of ground-source heat pumps in north-of-England homes. Proceedings of the Institution of Civil Engineers - Energy. 170(3). 103–115. 3 indexed citations
17.
Schellart, Alma, Nuno Simões, Li-Pen Wang, et al.. (2011). Urban pluvial flood modelling with real time rainfall information – UK case studies. Open Research Exeter (University of Exeter). 8 indexed citations
18.
Schellart, Alma, Simon Tait, & Richard Ashley. (2010). Towards quantification of uncertainty in predicting water quality failures in integrated catchment model studies. Water Research. 44(13). 3893–3904. 35 indexed citations
19.
Schellart, Alma, et al.. (2009). Quantitative Precipitation Forecasting For A Small Urban Area: Use Of Radar Nowcasting. Bristol Research (University of Bristol). 22–26. 6 indexed citations
20.
Schellart, Alma, et al.. (2005). Detailed observation and measurement of sewer sediment erosion under aerobic and anaerobic conditions. Water Science & Technology. 52(3). 137–146. 14 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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