P. La Roca

584 total citations
31 papers, 479 citations indexed

About

P. La Roca is a scholar working on Materials Chemistry, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, P. La Roca has authored 31 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 20 papers in Mechanical Engineering and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in P. La Roca's work include Shape Memory Alloy Transformations (23 papers), Microstructure and Mechanical Properties of Steels (17 papers) and Magnetic Properties and Applications (10 papers). P. La Roca is often cited by papers focused on Shape Memory Alloy Transformations (23 papers), Microstructure and Mechanical Properties of Steels (17 papers) and Magnetic Properties and Applications (10 papers). P. La Roca collaborates with scholars based in Argentina, France and Spain. P. La Roca's co-authors include M. Sade, J. Malarrı́a, A. Baruj, C. Sobrero, P. Vermaut, Florencia Malamud, J.I. Pérez-Landazábal, V. Recarte, V. Sánchez‐Alarcos and R.E. Bolmaro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Materials Science and Engineering A.

In The Last Decade

P. La Roca

30 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. La Roca Argentina	15	341	332	123	57	24	31	479
C. Sobrero Argentina	11	285 0.8×	338 1.0×	62 0.5×	81 1.4×	18 0.8×	30	431
Hamidreza Koohdar Iran	13	264 0.8×	281 0.8×	152 1.2×	82 1.4×	53 2.2×	28	431
Y. Wu United States	17	658 1.9×	400 1.2×	152 1.2×	96 1.7×	15 0.6×	21	788
Hongjiang Pan China	15	327 1.0×	462 1.4×	132 1.1×	78 1.4×	21 0.9×	42	554
KB Kim South Korea	7	254 0.7×	363 1.1×	30 0.2×	42 0.7×	10 0.4×	12	408
J. Malarrı́a Argentina	17	604 1.8×	518 1.6×	143 1.2×	37 0.6×	70 2.9×	57	712
Bikas C. Maji India	12	296 0.9×	241 0.7×	49 0.4×	37 0.6×	31 1.3×	32	359
Liangxing Lv China	12	211 0.6×	246 0.7×	42 0.3×	54 0.9×	9 0.4×	29	358
Yunli Feng China	13	253 0.7×	484 1.5×	82 0.7×	32 0.6×	38 1.6×	43	514

Countries citing papers authored by P. La Roca

Since Specialization

Citations

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

Fields of papers citing papers by P. La Roca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. La Roca

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

Llamazares, J.L. Sánchez, Pablo Álvarez-Alonso, P. La Roca, et al.. (2024). Magnetic structure analysis of the L21-type austenite in Ni–Mn–In alloys. Intermetallics. 168. 108242–108242. 4 indexed citations

Sánchez‐Alarcos, V., P. La Roca, V. Recarte, et al.. (2024). Polycaprolactone/ MSMA composites for magnetic refrigeration applications. Polymer Composites. 46(1). 427–437.

López‐Ortega, Alberto, J.J. Beato-López, P. La Roca, et al.. (2023). Magnetically activated 3D printable polylactic acid/polycaprolactone/magnetite composites for magnetic induction heating generation. Advanced Composites and Hybrid Materials. 6(3). 37 indexed citations

Roca, P. La, et al.. (2023). Effects of Si Addition on the Martensitic Transformation, Structural and Thermodynamic Aspects in Fe45−xMn30Cr10Co15Six High Entropy Alloys. Metals and Materials International. 30(5). 1282–1293. 6 indexed citations

Garaio, Eneko, P. La Roca, C. Gómez‐Polo, et al.. (2022). Martensitic transformation controlled by electromagnetic field: From experimental evidence to wireless actuator applications. Materials & Design. 219. 110746–110746. 3 indexed citations

Roca, P. La, et al.. (2022). Room temperature huge magnetocaloric properties in low hysteresis ordered Cu-doped Ni-Mn-In-Co alloys. Journal of Alloys and Compounds. 922. 166143–166143. 14 indexed citations

Sánchez‐Alarcos, V., V. Recarte, J. Alberto Rodríguez‐Velamazán, et al.. (2020). Effect of high-energy ball-milling on the magnetostructural properties of a Ni45Co5Mn35Sn15 alloy. Journal of Alloys and Compounds. 858. 158350–158350. 15 indexed citations

Roca, P. La, et al.. (2020). Strategies to increase austenite FCC relative phase stability in High-Mn steels. Journal of Alloys and Compounds. 854. 156971–156971. 7 indexed citations

Roca, P. La, et al.. (2019). Experimental determination of the driving force of the fcc-hcp martensitic transformation and the stacking fault energy in high-Mn Fe-Mn-Cr steels. Journal of Alloys and Compounds. 797. 237–245. 18 indexed citations

10.

Roca, P. La, A. Baruj, C. Sobrero, J. Malarrı́a, & M. Sade. (2017). Nanoprecipitation effects on phase stability of Fe-Mn-Al-Ni alloys. Journal of Alloys and Compounds. 708. 422–427. 55 indexed citations

11.

Roca, P. La, et al.. (2017). Relationship between grain size and thermal hysteresis of martensitic transformations in Cu-based shape memory alloys. Scripta Materialia. 135. 5–9. 40 indexed citations

12.

Roca, P. La, et al.. (2016). Martensitic transformation strain and stability of Ni50−x–Ti50–Cox (x=3,4) strips obtained by twin-roll casting and standard processing techniques. Materials & Design. 107. 511–519. 14 indexed citations

13.

Roca, P. La, A. Baruj, & M. Sade. (2016). Shape-Memory Effect and Pseudoelasticity in Fe–Mn-Based Alloys. Shape Memory and Superelasticity. 3(1). 37–48. 24 indexed citations

14.

Roca, P. La, et al.. (2016). Composition effects on the fcc-hcp martensitic transformation and on the magnetic ordering of the fcc structure in Fe-Mn-Cr alloys. Materials & Design. 116. 127–135. 31 indexed citations

15.

Roca, P. La, et al.. (2015). β-grainsize Effects on the 18R-martensite Microstructure in Cu-based SMA. Procedia Materials Science. 8. 1133–1139. 5 indexed citations

16.

Roca, P. La, et al.. (2015). Relationship between martensitic plate size and austenitic grain size in martensitic transformations. Applied Physics Letters. 106(22). 20 indexed citations

17.

Sade, M., et al.. (2015). Pseudoelastic Cycling between Austenite, 18R and 6R Phases in CuAlBe Single Crystals. Materials Today Proceedings. 2. S719–S722. 7 indexed citations

18.

Roca, P. La, et al.. (2014). Load-biased martensitic transformation strain of Ti50–Ni47–Co3 strip obtained by a twin-roll casting technique. Materials Science and Engineering A. 597. 245–252. 8 indexed citations

19.

Roca, P. La, et al.. (2012). Microstructure and shape memory properties of Fe–15Mn–5Si–9Cr–5Ni melt-spun ribbons. Materials Science and Engineering A. 556. 936–945. 20 indexed citations

20.

Sobrero, C., et al.. (2012). Shape memory properties of highly textured Cu–Al–Ni–(Ti) alloys. Materials Science and Engineering A. 536. 207–215. 39 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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