Juha Vinha

2.2k total citations
83 papers, 1.6k citations indexed

About

Juha Vinha is a scholar working on Building and Construction, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Juha Vinha has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Building and Construction, 30 papers in Environmental Engineering and 13 papers in Civil and Structural Engineering. Recurrent topics in Juha Vinha's work include Hygrothermal properties of building materials (45 papers), Building Energy and Comfort Optimization (38 papers) and Urban Heat Island Mitigation (18 papers). Juha Vinha is often cited by papers focused on Hygrothermal properties of building materials (45 papers), Building Energy and Comfort Optimization (38 papers) and Urban Heat Island Mitigation (18 papers). Juha Vinha collaborates with scholars based in Finland, Estonia and Denmark. Juha Vinha's co-authors include Targo Kalamees, Jarek Kurnitski, Kati Salminen, Minna Korpi, Hannu Viitanen, Tuomo Ojanen, Kimmo Lähdesmäki, Ruut Hannele Peuhkuri, Juha Jokisalo and Leena Paajanen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Policy and Energy and Buildings.

In The Last Decade

Juha Vinha

80 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juha Vinha Finland 21 1.2k 691 313 220 159 83 1.6k
Nathan Van Den Bossche Belgium 19 815 0.7× 421 0.6× 333 1.1× 72 0.3× 187 1.2× 125 1.0k
Francesca Romana d’Ambrosio Alfano Italy 28 1.4k 1.1× 1.0k 1.5× 96 0.3× 435 2.0× 179 1.1× 50 2.5k
Vincenzo Costanzo Italy 25 1.5k 1.2× 1.2k 1.7× 89 0.3× 282 1.3× 149 0.9× 62 1.9k
Veronica Lucia Castaldo Italy 26 1.1k 0.9× 980 1.4× 132 0.4× 345 1.6× 195 1.2× 48 1.6k
Piercarlo Romagnoni Italy 19 1.2k 1.0× 664 1.0× 106 0.3× 170 0.8× 153 1.0× 80 1.6k
Kristian Fabbri Italy 25 1.1k 0.9× 670 1.0× 198 0.6× 248 1.1× 320 2.0× 84 1.6k
Rick Kramer Netherlands 19 758 0.6× 317 0.5× 322 1.0× 137 0.6× 391 2.5× 45 1.3k
Francesca Stazi Italy 24 1.6k 1.3× 880 1.3× 132 0.4× 94 0.4× 66 0.4× 54 2.0k
Shuichi Hokoi Japan 18 641 0.5× 430 0.6× 222 0.7× 137 0.6× 164 1.0× 152 1.2k
Boris Igor Palella Italy 28 1.2k 1.0× 949 1.4× 58 0.2× 434 2.0× 101 0.6× 56 1.8k

Countries citing papers authored by Juha Vinha

Since Specialization
Citations

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

Fields of papers citing papers by Juha Vinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Vinha

This figure shows the co-authorship network connecting the top 25 collaborators of Juha Vinha. A scholar is included among the top collaborators of Juha Vinha 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 Juha Vinha. Juha Vinha 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.
Vinha, Juha, et al.. (2024). Long-term prediction of hourly indoor air temperature using machine learning. Energy and Buildings. 325. 114972–114972. 7 indexed citations
2.
Vinha, Juha, et al.. (2024). Effect of temperature-dependent and hysteretic sorption in computational mould risk analyses of wood fibreboard sheathing. Journal of Building Performance Simulation. 17(5). 585–597.
3.
Vinha, Juha, et al.. (2024). Hygrothermal performance of ventilated attics: A field study in cold climate. Building and Environment. 266. 112114–112114.
4.
Vinha, Juha, et al.. (2024). Region-specific climate change projections: Forecasting energy needs in Finland’s residential building stock. Energy and Buildings. 329. 115181–115181. 1 indexed citations
5.
Vinha, Juha, et al.. (2023). Temperature-dependency of hysteretic sorption in hygrothermal modelling of wood fibreboard sheathing: analysis of exterior wall laboratory experiments. Journal of Building Performance Simulation. 17(4). 395–405. 1 indexed citations
7.
Kauppinen, Antti, et al.. (2023). Indoor air temperature and relative humidity measurements in Finnish schools and day-care centres. Building and Environment. 246. 110969–110969. 6 indexed citations
9.
Salo, Laura, Michal Vojtíšek-Lom, Jakub Ondráček, et al.. (2023). Lung-depositing surface area (LDSA) of particles in office spaces around Europe: Size distributions, I/O-ratios and infiltration. Building and Environment. 246. 110999–110999. 8 indexed citations
10.
Vinha, Juha, et al.. (2023). Measurement and modelling of the moisture distribution in early-age concrete in the joint of composite beam and hollow core slab. Journal of Physics Conference Series. 2654(1). 12045–12045. 1 indexed citations
11.
Kauppinen, Antti, et al.. (2022). Air Pressure Differences over External Walls in New and Retrofitted Schools and Daycare Centers. Buildings. 12(10). 1629–1629. 3 indexed citations
12.
Vinha, Juha, et al.. (2019). Water Vapour Transmission in Wall Structures Due to Diffusion and Convection. Tampere University Institutional Repository (Tampere University). 1 indexed citations
13.
Salo, Juha, et al.. (2018). Radon, fungal spores and MVOCs reduction in crawl space house: A case study and crawl space development by hygrothermal modelling. Building and Environment. 138. 1–10. 5 indexed citations
14.
Mäkinen, Antti, et al.. (2018). Potential of space zoning for energy efficiency through utilization efficiency. Advances in Building Energy Research. 14(1). 19–40. 3 indexed citations
15.
Vinha, Juha, et al.. (2017). Carbon dioxide permeability of building materials and their impact on bedroom ventilation need. Journal of Building Engineering. 12. 99–108. 10 indexed citations
16.
Lindholm, Harri, et al.. (2015). High indoor CO2concentrations in an office environment increases the transcutaneous CO2level and sleepiness during cognitive work. Journal of Occupational and Environmental Hygiene. 13(1). 19–29. 119 indexed citations
17.
Arvela, H, et al.. (2013). Review of low-energy construction, air tightness, ventilation strategies and indoor radon: results from Finnish houses and apartments. Radiation Protection Dosimetry. 162(3). 351–363. 36 indexed citations
18.
Viitanen, Hannu, Tuomo Ojanen, Ruut Hannele Peuhkuri, et al.. (2011). Mould growth modelling to evaluate durability of materials. VBN Forskningsportal (Aalborg Universitet). 9 indexed citations
19.
Jokisalo, Juha, et al.. (2008). A Comparison of Measured and Simulated Air Pressure Conditions of a Detached House in a Cold Climate. Journal of Building Physics. 32(1). 67–89. 37 indexed citations
20.
Vinha, Juha, Kristian Salminen, Hannu Viitanen, & Tuomo Ojanen. (2006). Mathematical analysis of mould growth risk in building envelopes. 5 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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