P. Nieves

951 total citations
29 papers, 559 citations indexed

About

P. Nieves is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, P. Nieves has authored 29 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atomic and Molecular Physics, and Optics, 19 papers in Electronic, Optical and Magnetic Materials and 9 papers in Condensed Matter Physics. Recurrent topics in P. Nieves's work include Magnetic properties of thin films (24 papers), Magnetic Properties and Applications (13 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). P. Nieves is often cited by papers focused on Magnetic properties of thin films (24 papers), Magnetic Properties and Applications (13 papers) and Magnetic and transport properties of perovskites and related materials (6 papers). P. Nieves collaborates with scholars based in Spain, Czechia and United States. P. Nieves's co-authors include O. Chubykalo‐Fesenko, Unai Atxitia, S. Arapan, Jakob Walowski, Markus Münzenberg, Tiffany Santos, Dominik Legut, David Serantes, D. Hinzke and Santiago Cuesta‐López and has published in prestigious journals such as Journal of Applied Physics, Physical Review B and Scientific Reports.

In The Last Decade

P. Nieves

26 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Nieves Spain	12	426	253	197	141	129	29	559
Piotr Kuświk Poland	15	560 1.3×	293 1.2×	153 0.8×	216 1.5×	192 1.5×	72	664
Andreas Donges Germany	10	444 1.0×	169 0.7×	171 0.9×	170 1.2×	83 0.6×	12	527
Sina Mayr Switzerland	10	495 1.2×	211 0.8×	215 1.1×	181 1.3×	123 1.0×	24	631
Sergio Montoya United States	11	497 1.2×	271 1.1×	136 0.7×	243 1.7×	83 0.6×	27	605
M. Kronseder Germany	14	643 1.5×	301 1.2×	193 1.0×	266 1.9×	198 1.5×	41	762
David M. Burn United Kingdom	18	644 1.5×	320 1.3×	152 0.8×	368 2.6×	243 1.9×	42	815
Liza Herrera Diez France	13	576 1.4×	276 1.1×	232 1.2×	174 1.2×	322 2.5×	36	725
Rajasekhar Medapalli United States	12	405 1.0×	138 0.5×	237 1.2×	79 0.6×	89 0.7×	22	454
Mohammed Salah El Hadri France	10	433 1.0×	166 0.7×	313 1.6×	56 0.4×	132 1.0×	15	522
Ó. Alejos Spain	15	654 1.5×	465 1.8×	253 1.3×	278 2.0×	248 1.9×	74	890

Countries citing papers authored by P. Nieves

Since Specialization

Citations

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

Fields of papers citing papers by P. Nieves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. Nieves. A scholar is included among the top collaborators of P. Nieves 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. Nieves. P. Nieves 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

Legut, Dominik & P. Nieves. (2024). Second-order anisotropy due to magnetostriction for L10-FePt. Solid State Sciences. 160. 107782–107782.

Nieves, P., et al.. (2024). Magnetization dynamics induced by ultrashort terahertz radiation: Toward designing spin-based terahertz sensors. Physical Review Applied. 21(1).

Nieves, P., et al.. (2024). Computational study of elastic waves generated by ultrafast demagnetization in fcc Ni. Physical Review Research. 6(2). 2 indexed citations

Das, Tilak, P. Nieves, & Dominik Legut. (2024). Large magnetocrystalline anisotropic energy and its impact on magnetostriction of L1₀-FePt. Journal of Physics D Applied Physics. 58(3). 35004–35004. 1 indexed citations

Nieves, P., et al.. (2023). Automated calculations of exchange magnetostriction. Computational Materials Science. 224. 112158–112158. 5 indexed citations

Nieves, P., et al.. (2023). Temperature dependence of magnetic anisotropy and magnetoelasticity from classical spin-lattice calculations. Physical review. B.. 107(9). 6 indexed citations

Nieves, P., et al.. (2021). MAELAS: MAgneto-ELAStic properties calculation via computational high-throughput approach. Computer Physics Communications. 264. 107964–107964. 8 indexed citations

Serantes, David, O. Chubykalo‐Fesenko, Sergiu Ruta, et al.. (2020). Disentangling local heat contributions in interacting magnetic nanoparticles. Physical review. B.. 102(21). 12 indexed citations

Kovacs, Alexander, Johann Fischbacher, Markus Gusenbauer, et al.. (2019). Computational Design of Rare-Earth Reduced Permanent Magnets. Engineering. 6(2). 148–153. 24 indexed citations

10.

Arapan, S., P. Nieves, & Santiago Cuesta‐López. (2018). A high-throughput exploration of magnetic materials by using structure predicting methods. Journal of Applied Physics. 123(8). 11 indexed citations

11.

John, Rita, Marco Berritta, D. Hinzke, et al.. (2017). Magnetisation switching of FePt nanoparticle recording medium by femtosecond laser pulses. Scientific Reports. 7(1). 4114–4114. 94 indexed citations

12.

Nieves, P., S. Arapan, T. Schrefl, & Santiago Cuesta‐López. (2017). Atomistic spin dynamics simulations of the MnAl τ-phase and its antiphase boundary. Physical review. B.. 96(22). 16 indexed citations

13.

Nieves, P., S. Arapan, & Santiago Cuesta‐López. (2017). Exploring the Crystal Structure Space of CoFe₂P by Using Adaptive Genetic Algorithm Methods. IEEE Transactions on Magnetics. 53(11). 1–5. 3 indexed citations

14.

Nieves, P. & O. Chubykalo‐Fesenko. (2016). Modeling of Ultrafast Heat- and Field-Assisted Magnetization Dynamics in FePt. Physical Review Applied. 5(1). 32 indexed citations

15.

Nieves, P., D. Kechrakos, & O. Chubykalo‐Fesenko. (2016). Field-dependent energy barriers in Co/CoO core-shell nanoparticles. Physical review. B.. 93(6). 5 indexed citations

16.

Nieves, P., S. Arapan, G. C. Hadjipanayis, et al.. (2016). Applying high‐throughput computational techniques for discovering next‐generation of permanent magnets. Physica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics. 13(10-12). 942–950. 5 indexed citations

17.

Hinzke, D., Unai Atxitia, Karel Carva, et al.. (2015). Multiscale modeling of ultrafast element-specific magnetization dynamics of ferromagnetic alloys. Physical Review B. 92(5). 35 indexed citations

18.

Nieves, P., Unai Atxitia, R.W. Chantrell, & O. Chubykalo‐Fesenko. (2015). The classical two-sublattice Landau–Lifshitz–Bloch equation for all temperatures. Low Temperature Physics. 41(9). 739–744. 12 indexed citations

19.

Mendil, Johannes, P. Nieves, O. Chubykalo‐Fesenko, et al.. (2014). Resolving the role of femtosecond heated electrons in ultrafast spin dynamics. Scientific Reports. 4(1). 3980–3980. 80 indexed citations

20.

Nieves, P., David Serantes, Unai Atxitia, & O. Chubykalo‐Fesenko. (2014). Quantum Landau-Lifshitz-Bloch equation and its comparison with the classical case. Physical Review B. 90(10). 32 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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