P. Nieminen

1.2k total citations · 1 hit paper
26 papers, 641 citations indexed

About

P. Nieminen is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, P. Nieminen has authored 26 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 7 papers in Artificial Intelligence and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in P. Nieminen's work include Nuclear physics research studies (8 papers), Atomic and Molecular Physics (5 papers) and Nuclear Physics and Applications (3 papers). P. Nieminen is often cited by papers focused on Nuclear physics research studies (8 papers), Atomic and Molecular Physics (5 papers) and Nuclear Physics and Applications (3 papers). P. Nieminen collaborates with scholars based in Finland, United Kingdom and Australia. P. Nieminen's co-authors include Mario A. Bernal, Philippe Moretto, C. Zacharatou, Gérard Baldacchino, B. Mascialino, S. Incerti, R. Capra, A. Mantero, Z. Francis and C. Villagrasa and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry A.

In The Last Decade

P. Nieminen

22 papers receiving 624 citations

Hit Papers

align trajectories

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Nieminen Finland	10	315	199	123	96	89	26	641
Ziad El Bitar France	13	231 0.7×	298 1.5×	51 0.4×	62 0.6×	32 0.4×	44	553
Rob Lewis United Kingdom	13	103 0.3×	224 1.1×	47 0.4×	74 0.8×	20 0.2×	61	523
James Jones United Kingdom	15	147 0.5×	129 0.6×	20 0.2×	191 2.0×	42 0.5×	53	897
J. Varela Portugal	17	115 0.4×	631 3.2×	58 0.5×	177 1.8×	9 0.1×	109	1.1k
M. Caccia Italy	15	41 0.1×	265 1.3×	28 0.2×	270 2.8×	23 0.3×	101	797
Jiali Zhang China	12	57 0.2×	52 0.3×	134 1.1×	46 0.5×	11 0.1×	41	438
Hartwig Blume United States	14	385 1.2×	81 0.4×	64 0.5×	56 0.6×	14 0.2×	41	789
Sebastian Böhm Germany	16	40 0.1×	76 0.4×	37 0.3×	298 3.1×	14 0.2×	69	1.1k
Jacob Hinkle United States	15	38 0.1×	83 0.4×	71 0.6×	40 0.4×	51 0.6×	47	578
Sam Kumar India	14	24 0.1×	27 0.1×	52 0.4×	116 1.2×	53 0.6×	44	566

Countries citing papers authored by P. Nieminen

Since Specialization

Citations

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

Fields of papers citing papers by P. Nieminen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Nieminen

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

All Works

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20 of 20 papers shown

1.

Nieminen, P., et al.. (2025). Generating synthetic past and future states of Knee Osteoarthritis radiographs using Cycle-Consistent Generative Adversarial Neural Networks. Computers in Biology and Medicine. 187. 109785–109785.

2.

Lauritsen, T., et al.. (2023). Multi-quasiparticle isomers involving proton-particle and neutron-hole configurations in I131 and I133. UNC Libraries.

3.

Nieminen, P., et al.. (2021). Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces. Jyväskylä University Digital Archive (University of Jyväskylä). 529–534. 1 indexed citations

4.

Hautala, Jarkko, et al.. (2021). Detection of developmental dyslexia with machine learning using eye movement data. Array. 12. 100087–100087. 40 indexed citations

5.

Nieminen, P., et al.. (2020). Monte Carlo Simulations of Au ₃₈ (SCH ₃ ) ₂₄ Nanocluster Using Distance-Based Machine Learning Methods. The Journal of Physical Chemistry A. 124(23). 4827–4836. 46 indexed citations

6.

Isomöttönen, Ville, et al.. (2020). Exploring Creativity Expectation in CS1 Students’ View of Programming. Jyväskylä University Digital Archive (University of Jyväskylä). 26. 1–8. 1 indexed citations

7.

Nieminen, P., et al.. (2020). Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?. SHILAP Revista de lepidopterología. 2(4). 533–557. 2 indexed citations

8.

Malola, Sami, et al.. (2019). A method for structure prediction of metal-ligand interfaces of hybrid nanoparticles. Nature Communications. 10(1). 3973–3973. 44 indexed citations

9.

Isomöttönen, Ville, et al.. (2018). How do Academics Experience Use of Recorded Audio Feedback in Higher Education? A Thematic Analysis. 25. 1–5. 3 indexed citations

10.

Kärkkäinen, Tommi, et al.. (2018). Semi-automatic literature mapping of participatory design studies 2006--2016. 63. 1–5. 4 indexed citations

11.

Asghar, Zeeshan, P. Nieminen, Seppo Hämäläinen, et al.. (2017). Cell Degradation Detection based on an Inter-Cell Approach. International Journal of Digital Content Technology and its Applications. 11(1). 4 indexed citations

12.

Asghar, Zeeshan, P. Nieminen, Seppo Hämäläinen, et al.. (2017). Towards proactive context-aware self-healing for 5G networks. Computer Networks. 128. 5–13. 9 indexed citations

13.

Nieminen, P.. (2016). Multilayer perceptron training with multiobjective memetic optimization. Jyväskylä University Digital Archive (University of Jyväskylä). 2 indexed citations

14.

Nieminen, P., Ilkka Pölönen, & Tuomo Sipola. (2013). Research literature clustering using diffusion maps. Journal of Informetrics. 7(4). 874–886. 14 indexed citations

15.

Taylor, M. J., D. M. Cullen, A. J. Smith, et al.. (2011). A new differential plunger to measure lifetimes of unbound states in tagged exotic nuclei. AIP conference proceedings. 149–152.

16.

Watanabe, H., K. Ogawa, G. J. Lane, et al.. (2010). MULTI-QUASIPARTICLE ISOMERS INVOLVING PROTON-PARTICLE AND NEUTRON-HOLE CONFIGURATIONS IN ¹³¹I AND ¹³³I. Modern Physics Letters A. 25(21n23). 1800–1803. 1 indexed citations

17.

Watanabe, H., G. J. Lane, G. D. Dracoulis, et al.. (2009). Decay properties of high-spin isomers and other structures inSb121andSb123. Physical Review C. 79(2). 6 indexed citations

18.

Heikkola, Erkki, Kaisa Miettinen, & P. Nieminen. (2006). Multiobjective optimization of an ultrasonic transducer using NIMBUS. Ultrasonics. 44(4). 368–380. 34 indexed citations

19.

Hammond, N. J., Graeme Jones, P. A. Butler, et al.. (2002). Observation ofK=1/2octupole deformed bands in227Th. Physical Review C. 65(6). 13 indexed citations

20.

Appelbe, D. E., J. Simpson, M. Muikku, et al.. (2002). First observation of excited states in the very neutron deficient nucleus76165Osand the yrast structure of76166Os. Physical Review C. 66(1). 4 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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