Teemu Räsänen

757 total citations
12 papers, 518 citations indexed

About

Teemu Räsänen is a scholar working on Environmental Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Teemu Räsänen has authored 12 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Environmental Engineering, 3 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Teemu Räsänen's work include Neural Networks and Applications (3 papers), Air Quality Monitoring and Forecasting (2 papers) and Smart Grid Energy Management (2 papers). Teemu Räsänen is often cited by papers focused on Neural Networks and Applications (3 papers), Air Quality Monitoring and Forecasting (2 papers) and Smart Grid Energy Management (2 papers). Teemu Räsänen collaborates with scholars based in Finland and Greece. Teemu Räsänen's co-authors include Mikko Kolehmainen, Kostas Karatzas, Dimitrios Voukantsis, Harri Niska, Ari Karppinen, Jaakko Kukkonen, Juhani Ruuskanen, Ari Happonen, Miika Kajanus and Harri Auvinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Applied Energy.

In The Last Decade

Teemu Räsänen

12 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Teemu Räsänen Finland	7	202	199	154	77	66	12	518
Qunli Wu China	13	309 1.5×	391 2.0×	198 1.3×	95 1.2×	27 0.4×	43	811
Mingfei Niu China	8	283 1.4×	201 1.0×	187 1.2×	73 0.9×	38 0.6×	9	522
Huaxing Lin China	11	323 1.6×	114 0.6×	251 1.6×	94 1.2×	18 0.3×	16	570
Hajime Seya Japan	16	126 0.6×	144 0.7×	72 0.5×	78 1.0×	115 1.7×	61	825
Sreenu Sreekumar India	14	146 0.7×	253 1.3×	69 0.4×	13 0.2×	43 0.7×	40	475
Robin North United Kingdom	11	250 1.2×	57 0.3×	130 0.8×	188 2.4×	93 1.4×	33	611
Ming Meng China	20	528 2.6×	359 1.8×	95 0.6×	73 0.9×	66 1.0×	66	1.2k
Matthew Bartos United States	12	263 1.3×	159 0.8×	66 0.4×	20 0.3×	58 0.9×	25	809
Zhengsen Ji China	15	183 0.9×	346 1.7×	59 0.4×	44 0.6×	37 0.6×	30	806
Yanyu Chen China	11	118 0.6×	59 0.3×	40 0.3×	55 0.7×	23 0.3×	26	501

Countries citing papers authored by Teemu Räsänen

Since Specialization

Citations

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

Fields of papers citing papers by Teemu Räsänen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teemu Räsänen

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

All Works

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12 of 12 papers shown

Hokajärvi, Anna-Maria, Teemu Räsänen, Tarja Pitkänen, et al.. (2022). Monitoring groundwater quality with real-time data, stable water isotopes, and microbial community analysis: A comparison with conventional methods. The Science of The Total Environment. 864. 161199–161199. 26 indexed citations

Räsänen, Teemu, et al.. (2020). Analysing Contaminant Mixing and Dilution in River Waters Influenced by Mine Water Discharges. Water Air & Soil Pollution. 231(6). 20 indexed citations

Happonen, Ari, et al.. (2020). Digital age business model innovation for sustainability in University Industry Collaboration Model. SHILAP Revista de lepidopterología. 211. 4005–4005. 20 indexed citations

Räsänen, Teemu, et al.. (2017). Designing a Business Model for Environmental Monitoring Services Using Fast MCDS Innovation Support Tools. Technology Innovation Management Review. 7(11). 36–46. 23 indexed citations

Karatzas, Kostas, et al.. (2011). Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki. The Science of The Total Environment. 409(7). 1266–1276. 198 indexed citations

Räsänen, Teemu. (2011). Intelligent Information Services in Environmental Applications. 1 indexed citations

Räsänen, Teemu, Dimitrios Voukantsis, Harri Niska, Kostas Karatzas, & Mikko Kolehmainen. (2010). Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data. Applied Energy. 87(11). 3538–3545. 169 indexed citations

Räsänen, Teemu. (2009). Predictive System for Monitoring Regional Visitor Attendance Levels in Large Recreational Areas. Journal of Environmental Informatics. 13(1). 45–55. 2 indexed citations

Räsänen, Teemu, Juhani Ruuskanen, & Mikko Kolehmainen. (2008). Reducing energy consumption by using self-organizing maps to create more personalized electricity use information. Applied Energy. 85(9). 830–840. 55 indexed citations

10.

Räsänen, Teemu, et al.. (2007). Neural networks in process life cycle profit modelling. Expert Systems with Applications. 35(3). 604–610. 2 indexed citations

11.

Räsänen, Teemu, et al.. (2006). DATA-BASED APPROACHES IMPROVING THE ACCURACY OF LIFE CYCLE PROFIT MODELS. IFAC Proceedings Volumes. 39(14). 106–111. 1 indexed citations

12.

Räsänen, Teemu, et al.. (2006). Self-refreshing SOM for dynamic process state monitoring in a circulating fluidized bed energy plant. 344–349. 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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