Tom Micevski

12 papers receiving 348 citations

Peers

Tom Micevski
Comparison fields: 5 of 46
  • Civil and Structural Engineering 183
  • Global and Planetary Change 155
  • Water Science and Technology 117
  • Environmental Engineering 67
  • Safety, Risk, Reliability and Quality 24
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Countries citing papers authored by Tom Micevski

Since Specialization
Citations

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

Fields of papers citing papers by Tom Micevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Micevski

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 29
2 3
3
A Behavioural Approach for Household Outdoor Water Use Modelling
0
4
Household Characteristics that Influence Household Water Use in the Hunter Region
0
5
Regional flood frequency analysis in New South Wales using Bayesian GLS regression : comparison of fixed region and region-of-influence approaches
1
6
A behavioural approach to stochastic end use modelling
1
7
A Probabilistic Behavioural Approach for the Dynamic Modelling of Indoor Household Water Use
4
8
Regional Flood Frequency Analysis for Eastern New South Wales: A Region of Influence Approach Using Generalized Least Squares Log Pearson 3 Parameter Regression
7
9 41
10
A General and Practical Bayesian Procedure for Regional and At-site Flood Frequency Analysis
1
11
A Bayesian Hierarchical Regional Flood Model
3
12 71
13 10
14
Multidecadal Variability in New South Wales Flood Data
2
15 203

About Tom Micevski

Tom Micevski is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering, having authored 15 papers that have together received 376 indexed citations. Recurring topics across this work include Climate variability and models (8 papers), Hydrology and Drought Analysis (8 papers) and Flood Risk Assessment and Management (7 papers). The work is most often cited by research in Civil and Structural Engineering (183 citations), Water Science and Technology (117 citations) and Global and Planetary Change (155 citations). Tom Micevski has collaborated with scholars based in Australia and Germany. Frequent co-authors include George Kuczera, Peter J Coombes, Stewart W. Franks, Khaled Haddad, Ataur Rahman, Mark Thyer, G. Kuczera, Hugh P Duncan, Julien Lerat and Dmitri Kavetski. Their work appears in journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

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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