ScholarIQanswers from OpenAlex & ORCID
P. Nieminen
ResearcherPublications, citations & collaboration network
P. Nieminen is a researcher indexed in ScholarIQ from OpenAlex & ORCID.
How many works does P. Nieminen have?
ScholarIQindexed works
P. Nieminen has 80 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does P. Nieminen have?
ScholarIQcitation count
P. Nieminen has 1,192 citations in the OpenAlex counts ScholarIQ stores.
What is the h-index of P. Nieminen?
ScholarIQh-index
P. Nieminen has an h-index of 15 in OpenAlex.
What is the i10-index of P. Nieminen?
ScholarIQi10-index
P. Nieminen has an i10-index of 21 in OpenAlex.
What is the ORCID of P. Nieminen?
ScholarIQorcid
The ORCID for P. Nieminen is on the source record.
What is the OpenAlex record for P. Nieminen?
ScholarIQopenalex
The OpenAlex for P. Nieminen is on the source record.
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
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
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
A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles
Sami Malola, P. Nieminen, Antti Pihlajamäki, Joonas Hämäläinen, Tommi Kärkkäinen, Hannu Häkkinen
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