Masoud Hessami

456 total citations
8 papers, 358 citations indexed

About

Masoud Hessami is a scholar working on Atmospheric Science, Environmental Engineering and Pollution. According to data from OpenAlex, Masoud Hessami has authored 8 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 4 papers in Environmental Engineering and 2 papers in Pollution. Recurrent topics in Masoud Hessami's work include Arctic and Antarctic ice dynamics (4 papers), Hydrological Forecasting Using AI (3 papers) and Smart Materials for Construction (2 papers). Masoud Hessami is often cited by papers focused on Arctic and Antarctic ice dynamics (4 papers), Hydrological Forecasting Using AI (3 papers) and Smart Materials for Construction (2 papers). Masoud Hessami collaborates with scholars based in Canada, New Zealand and Iran. Masoud Hessami's co-authors include Taha B. M. J. Ouarda, André St‐Hilaire, Philippe Gachon, Alain A. Viau, François Anctil, Brian Morse, Renaud Mathieu, Léon‐Étienne Parent, Ousmane Seidou and Pierrick Bruneau and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Environmental Modelling & Software.

In The Last Decade

Masoud Hessami

8 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masoud Hessami Canada 6 209 205 106 92 28 8 358
Mohamed Rasmy Japan 13 291 1.4× 296 1.4× 151 1.4× 154 1.7× 22 0.8× 43 452
Muhammad Zia ur Rahman Hashmi Pakistan 12 315 1.5× 190 0.9× 120 1.1× 180 2.0× 17 0.6× 14 468
Yongwei Liu China 14 288 1.4× 156 0.8× 144 1.4× 170 1.8× 30 1.1× 24 440
Ardalan Izadi Iran 9 217 1.0× 116 0.6× 51 0.5× 91 1.0× 30 1.1× 15 316
Hanbeen Kim United States 11 269 1.3× 143 0.7× 63 0.6× 118 1.3× 43 1.5× 28 385
Seree Supharatid Thailand 11 229 1.1× 107 0.5× 130 1.2× 123 1.3× 12 0.4× 23 363
Bing-Chen Jhong Taiwan 11 234 1.1× 116 0.6× 172 1.6× 121 1.3× 18 0.6× 19 324
Gao Hong-xia China 6 197 0.9× 354 1.7× 298 2.8× 119 1.3× 63 2.3× 13 503
Shuzhe Huang China 10 201 1.0× 106 0.5× 159 1.5× 85 0.9× 14 0.5× 20 368
Boosik Kang South Korea 10 259 1.2× 134 0.7× 100 0.9× 195 2.1× 23 0.8× 51 387

Countries citing papers authored by Masoud Hessami

Since Specialization
Citations

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

Fields of papers citing papers by Masoud Hessami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Hessami

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

All Works

8 of 8 papers shown
1.
Hessami, Masoud, François Anctil, & Alain A. Viau. (2021). Selection of an Artificial Neural Network Model for the Post-calibration of Weather Radar Rainfall Estimation. Journal of Data Science. 2(2). 107–124. 2 indexed citations
2.
Hessami, Masoud, Philippe Gachon, Taha B. M. J. Ouarda, & André St‐Hilaire. (2007). Automated regression-based statistical downscaling tool. Environmental Modelling & Software. 23(6). 813–834. 234 indexed citations
3.
Seidou, Ousmane, Taha B. M. J. Ouarda, Laurent Bilodeau, et al.. (2006). Modeling ice growth on Canadian lakes using artificial neural networks. Water Resources Research. 42(11). 28 indexed citations
4.
Morse, Brian, et al.. (2003). Mapping environmental conditions in the St. Lawrence River onto ice parameters using artificial neural networks to predict ice jams. Canadian Journal of Civil Engineering. 30(4). 758–765. 12 indexed citations
5.
Morse, Brian, et al.. (2003). Characteristics of ice in the St. Lawrence River. Canadian Journal of Civil Engineering. 30(4). 766–774. 24 indexed citations
6.
Hessami, Masoud, François Anctil, & Alain A. Viau. (2003). An adaptive neuro-fuzzy inference system for the post-calibration of weather radar rainfall estimation. Journal of Hydroinformatics. 5(1). 63–70. 3 indexed citations
7.
Anctil, François, et al.. (2002). Geostatistics of near-surface moisture in bare cultivated organic soils. Journal of Hydrology. 260(1-4). 30–37. 46 indexed citations
8.
Hessami, Masoud, François Anctil, & Alain A. Viau. (2001). Delaunay implementation to improve kriging computing efficiency. Computers & Geosciences. 27(2). 237–240. 9 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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