Tero Niemi

440 total citations
16 papers, 279 citations indexed

About

Tero Niemi is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Tero Niemi has authored 16 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 8 papers in Environmental Engineering and 6 papers in Atmospheric Science. Recurrent topics in Tero Niemi's work include Flood Risk Assessment and Management (8 papers), Urban Stormwater Management Solutions (7 papers) and Hydrology and Watershed Management Studies (5 papers). Tero Niemi is often cited by papers focused on Flood Risk Assessment and Management (8 papers), Urban Stormwater Management Solutions (7 papers) and Hydrology and Watershed Management Studies (5 papers). Tero Niemi collaborates with scholars based in Finland, Australia and United States. Tero Niemi's co-authors include Teemu Kokkonen, Harri Koivusalo, Maija Taka, Lassi Warsta, Nora Sillanpää, Seppo Pulkkinen, Heikki Setälä, Gerald Krebs, Alan Seed and Peter Berg and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Tero Niemi

14 papers receiving 273 citations

Peers

Tero Niemi
Tero Niemi
Citations per year, relative to Tero Niemi Tero Niemi (= 1×) peers Mohamed Sinan

Countries citing papers authored by Tero Niemi

Since Specialization
Citations

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

Fields of papers citing papers by Tero Niemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tero Niemi

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

All Works

16 of 16 papers shown
2.
Taka, Maija, Nora Sillanpää, Tero Niemi, et al.. (2022). Heavy metals from heavy land use? Spatio-temporal patterns of urban runoff metal loads. The Science of The Total Environment. 817. 152855–152855. 21 indexed citations
3.
Kokkonen, Teemu, et al.. (2021). Stormflow against streamflow – Can LID-provided storage capacity ensure performance efficiency and maintenance of pre-development flow regime?. Journal of Hydrology. 602. 126768–126768. 11 indexed citations
4.
Pulkkinen, Seppo, V. Chandrasekar, & Tero Niemi. (2021). Lagrangian Integro-Difference Equation Model for Precipitation Nowcasting. Journal of Atmospheric and Oceanic Technology. 38(12). 2125–2145. 12 indexed citations
6.
Schleiss, Marc, Jonas Olsson, Peter Berg, et al.. (2020). The accuracy of weather radar in heavy rain: a comparative study for Denmark, the Netherlands, Finland and Sweden. Hydrology and earth system sciences. 24(6). 3157–3188. 59 indexed citations
7.
Kokkonen, Teemu, Lassi Warsta, Tero Niemi, et al.. (2019). Impact of alternative land cover descriptions on urban hydrological model simulations. Urban Water Journal. 16(2). 103–113. 1 indexed citations
8.
Niemi, Tero, Teemu Kokkonen, Nora Sillanpää, Heikki Setälä, & Harri Koivusalo. (2019). Automated Urban Rainfall–Runoff Model Generation with Detailed Land Cover and Flow Routing. Journal of Hydrologic Engineering. 24(5). 19 indexed citations
9.
Pulkkinen, Seppo, Daniele Nerini, Loris Foresti, et al.. (2019). pySTEPS/pysteps: pysteps 1.0.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
10.
Kokkonen, Teemu, et al.. (2019). Towards natural water cycle in urban areas: Modelling stormwater management designs. Urban Water Journal. 17(7). 587–597. 22 indexed citations
11.
Warsta, Lassi, Tero Niemi, Maija Taka, et al.. (2017). Development and application of an automated subcatchment generator for SWMM using open data. Urban Water Journal. 14(9). 954–963. 50 indexed citations
12.
Niemi, Tero, Lassi Warsta, Maija Taka, et al.. (2017). Applicability of open rainfall data to event-scale urban rainfall-runoff modelling. Journal of Hydrology. 547. 143–155. 23 indexed citations
13.
Taka, Maija, Teemu Kokkonen, Kirsi Kuoppamäki, et al.. (2017). Spatio‐temporal patterns of major ions in urban stormwater under cold climate. Hydrological Processes. 31(8). 1564–1577. 22 indexed citations
14.
Niemi, Tero, et al.. (2015). Role of spatial anisotropy in design storm generation: Experiment and interpretation. Water Resources Research. 52(1). 69–89. 22 indexed citations
15.
Niemi, Tero, Teemu Kokkonen, & Alan Seed. (2014). A simple and effective method for quantifying spatial anisotropy of time series of precipitation fields. Water Resources Research. 50(7). 5906–5925. 14 indexed citations
16.
Niemi, Tero, et al.. (2010). On site environmental modeling and monitoring: the Nordic Scenario in HYDROSYS project. ScholarsArchive (Brigham Young University). 1 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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