Scholar IQ
Try ScholarIQ free
Upload Records Snowball Search Search OpenAlex
About the database
On this page:OverviewPublicationsKey papers
ScholarIQanswers from OpenAlex & ORCID

P. Nieminen

ResearcherPublications, citations & collaboration network

P. Nieminen is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 80 works, 1,192 citations, an h-index of 15 and an i10-index of 21.

80
Works
1,192
Citations
15
h-index
21
i10-index

How has P. Nieminen's publication output changed over time?

ScholarIQpublication output · 1999–2022

Output grew0% over the shown period — from 1 works in 1999 to 1 in 2022.

1
2
1
1
1
1
1
1
1
199920022004200620102019202020212022

What are the most-cited papers on P. Nieminen?

ScholarIQmost cited works
THE GEANT4-DNA PROJECT
S. Incerti, Gérard Baldacchino, Mario A. Bernal, R. Capra, C. Champion, Z. Francis, P. Guèye, A. Mantero, B. Mascialino, Philippe Moretto, P. Nieminen, C. Villagrasa, C. Zacharatou
S107361000. 2010527 Citations
In-beam study of 254No
M. Leino, H. Kankaanpää, R.-D. Herzberg, A. J. Chewter, F. P. Heßberger, Y. Le Coz, F. Becker, P. A. Butler, J. F. C. Cocks, O. Dorvaux, K. Eskola, J. Gerl, P. T. Greenlees, K. Helariutta, M. Houry, Graeme Jones, Peter G. Jones, R. Julin, S. Juutinen, H. Kettunen, T. L. Khoo, A. Kleinböhl, W. Korten, P. Kuusiniemi, R. Lucas, M. Muikku, P. Nieminen, R. D. Page, P. Rahkila, P. Reiter, A. Savelius, C. Schlegel, Ch. Theisen, W. H. Trzaska, H. J. Wollersheim
S4210173186. 1999117 Citations
Detection of developmental dyslexia with machine learning using eye movement data
Peter Raatikainen, Jarkko Hautala, Otto Loberg, Tommi Kärkkäinen, Paavo H. T. Leppänen, P. Nieminen
Array. 202161 CitationsOPEN ACCESS
A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
Sami Malola, P. Nieminen, Antti Pihlajamäki, Joonas Hämäläinen, Tommi Kärkkäinen, Hannu Häkkinen
Nature Communications. 201955 CitationsOPEN ACCESS
Monte Carlo Simulations of Au <sub>38</sub> (SCH <sub>3</sub> ) <sub>24</sub> Nanocluster Using Distance-Based Machine Learning Methods
Antti Pihlajamäki, Joonas Hämäläinen, Joakim Linja, P. Nieminen, Sami Malola, Tommi Kärkkäinen, Hannu Häkkinen
S146709414. 202050 CitationsOPEN ACCESS

Related on ScholarIQ

University of Jyväskylä
Institution
THE GEANT4-DNA PROJECT
Paper
In-beam study of 254No
Paper
Detection of developmental dyslexia with machine learning using eye movement data
Paper
A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
Paper
Monte Carlo Simulations of Au <sub>38</sub> (SCH <sub>3</sub> ) <sub>24</sub> Nanocluster Using Distance-Based Machine Learning Methods
Paper
470M+ articles · free account