J. Pons

5.6k total citations · 1 hit paper
139 papers, 4.8k citations indexed

About

J. Pons is a scholar working on Materials Chemistry, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, J. Pons has authored 139 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Materials Chemistry, 66 papers in Mechanical Engineering and 45 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in J. Pons's work include Shape Memory Alloy Transformations (116 papers), Microstructure and Mechanical Properties of Steels (38 papers) and Magnetic Properties and Applications (37 papers). J. Pons is often cited by papers focused on Shape Memory Alloy Transformations (116 papers), Microstructure and Mechanical Properties of Steels (38 papers) and Magnetic Properties and Applications (37 papers). J. Pons collaborates with scholars based in Spain, Ukraine and United States. J. Pons's co-authors include E. Cesari, V. A. Chernenko, R. Santamarta, C. Seguı́, İbrahim Karaman, R.D. Noebe, A. Evirgen, S. Kustov, C. Picornell and V. V. Kokorin and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

J. Pons

137 papers receiving 4.7k citations

Hit Papers

Crystal structure of mart... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Pons 4.6k 2.2k 1.6k 381 179 139 4.8k
A. Sozinov 5.1k 1.1× 3.4k 1.6× 1.3k 0.8× 262 0.7× 236 1.3× 106 5.3k
V. V. Kokorin 4.5k 1.0× 3.3k 1.5× 994 0.6× 418 1.1× 147 0.8× 69 4.6k
Daoyong Cong 3.2k 0.7× 2.2k 1.0× 1.2k 0.8× 168 0.4× 110 0.6× 116 3.5k
R. Santamarta 2.6k 0.6× 1.0k 0.5× 915 0.6× 219 0.6× 68 0.4× 60 2.7k
Outi Söderberg 1.7k 0.4× 1.1k 0.5× 590 0.4× 90 0.2× 145 0.8× 91 2.0k
S. Kustov 2.2k 0.5× 755 0.3× 1.1k 0.7× 115 0.3× 212 1.2× 144 2.6k
Junjie Huang 2.5k 0.5× 1.9k 0.9× 505 0.3× 209 0.5× 95 0.5× 26 2.8k
Ladislav Straka 2.8k 0.6× 2.0k 0.9× 631 0.4× 73 0.2× 119 0.7× 99 2.9k
Xiao Xu 1.9k 0.4× 1.4k 0.6× 737 0.5× 117 0.3× 101 0.6× 98 2.3k
Othmane Benafan 2.0k 0.4× 264 0.1× 946 0.6× 101 0.3× 138 0.8× 107 2.3k

Countries citing papers authored by J. Pons

Since Specialization
Citations

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

Fields of papers citing papers by J. Pons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Pons

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

All Works

20 of 20 papers shown
1.
Xu, Shengming, J. Pons, & R. Santamarta. (2024). Impact of Hf alloying on the functional properties of Ni-Mn-Ga high temperature shape memory alloys. Materials Characterization. 217. 114410–114410.
2.
Evirgen, A., İbrahim Karaman, J. Pons, R. Santamarta, & R.D. Noebe. (2015). Role of nano-precipitation on the microstructure and shape memory characteristics of a new Ni50.3Ti34.7Zr15 shape memory alloy. Materials Science and Engineering A. 655. 193–203. 44 indexed citations
3.
Santamarta, R., A. Evirgen, A. Pérez‐Sierra, et al.. (2015). Effect of Thermal Treatments on Ni–Mn–Ga and Ni-Rich Ni–Ti–Hf/Zr High-Temperature Shape Memory Alloys. Shape Memory and Superelasticity. 1(4). 418–428. 13 indexed citations
4.
Pérez‐Sierra, A., J. Pons, R. Santamarta, P. Vermaut, & P. Ochin. (2015). Solidification process and effect of thermal treatments on Ni–Co–Mn–Sn metamagnetic shape memory alloys. Acta Materialia. 93. 164–174. 40 indexed citations
5.
Recarte, V., J.I. Pérez-Landazábal, C. Gómez‐Polo, et al.. (2010). Vibrational and magnetic contributions to the entropy change associated with the martensitic transformation of Ni–Fe–Ga ferromagnetic shape memory alloys. Journal of Physics Condensed Matter. 22(41). 416001–416001. 26 indexed citations
6.
Pons, J., et al.. (2006). Feasibility of a R744 Compressor for Light Commercial Appliances. Purdue e-Pubs (Purdue University System). 2 indexed citations
7.
Santamarta, R., E. Cesari, J. Font, et al.. (2006). Effect of atomic order on the martensitic transformation of Ni–Fe–Ga alloys. Scripta Materialia. 54(12). 1985–1989. 77 indexed citations
8.
Chernenko, V. A., et al.. (2005). Stress-induced Martensitic Transformation and Superelasticity of Alloys: Experiment and Theory. MATERIALS TRANSACTIONS. 46(4). 790–797. 10 indexed citations
9.
Picornell, C., et al.. (2005). Statistical Description of Mechanical Stabilization of Cu–Al–Ni Martensite. MATERIALS TRANSACTIONS. 46(5). 983–989. 4 indexed citations
10.
Picornell, C., J. Pons, & E. Cesari. (2004). Stress-Temperature Relationship in Compression Mode in Cu-Al-Ni Shape Memory Alloys. MATERIALS TRANSACTIONS. 45(5). 1679–1683. 15 indexed citations
11.
Santamarta, R., Alexandre Pasko, J. Pons, E. Cesari, & P. Ochin. (2004). Crystallization in Partially Amorphous Ni<SUB>50</SUB>Ti<SUB>32</SUB>Hf<SUB>18</SUB> Melt Spun Ribbon. MATERIALS TRANSACTIONS. 45(6). 1811–1818. 8 indexed citations
12.
Santamarta, R., Alexandre Pasko, J. Pons, E. Cesari, & P. Ochin. (2004). Thermal and microstructural evolution during the crystallization of a Ni50Ti32Hf18 melt spun ribbon. 881–889. 1 indexed citations
13.
Font, J., E. Cesari, J. Muntasell, & J. Pons. (2003). Thermomechanical cycling in Cu–Al–Ni-based melt-spun shape-memory ribbons. Materials Science and Engineering A. 354(1-2). 207–211. 50 indexed citations
14.
Chernenko, V. A., et al.. (2002). New Aspects of Structural and Magnetic Behaviour of Martensites in Ni-Mn-Ga Alloys. MATERIALS TRANSACTIONS. 43(5). 856–860. 44 indexed citations
15.
Santamarta, R., J. Pons, & E. Cesari. (2001). Thermo-mechanical behaviour of a Ni-Ti-Cu melt spun alloy. Journal de Physique IV (Proceedings). 11(PR8). Pr8–351. 6 indexed citations
16.
Kokorin, V. V., et al.. (1997). Acoustic phonon mode condensation in Ni2MnGa compound. Solid State Communications. 101(1). 7–9. 22 indexed citations
17.
Picornell, C., J. Pons, & E. Cesari. (1997). Effects of Thermal Ageing in β-Phase in Cu-Al-Ni Single Crystals. Journal de Physique IV (Proceedings). 7(C5). C5–323. 12 indexed citations
18.
Portier, R., et al.. (1997). Thermomechanical Testing Machine Conceived for the Study of Shape Memory Alloys. Application to the Training and Testing of the Two-Way Memory Effect. Journal de Physique IV (Proceedings). 7(C5). C5–655. 2 indexed citations
19.
Cesari, E., et al.. (1996). Internal Friction and Young Modulus Behaviour of Hot-Rolled Cu-Al-Ni-Ti Shape Memory Alloys. Journal de Physique IV (Proceedings). 6(C8). C8–413. 4 indexed citations
20.
Kokorin, V. V., V. A. Chernenko, E. Cesari, J. Pons, & C. Seguı́. (1996). Pre-martensitic state in Ni - Mn - Ga alloys. Journal of Physics Condensed Matter. 8(35). 6457–6463. 76 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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