İbrahim Karaman

21.8k total citations · 3 hit papers
451 papers, 18.1k citations indexed

About

İbrahim Karaman is a scholar working on Materials Chemistry, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, İbrahim Karaman has authored 451 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 358 papers in Materials Chemistry, 255 papers in Mechanical Engineering and 80 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in İbrahim Karaman's work include Shape Memory Alloy Transformations (238 papers), Microstructure and mechanical properties (79 papers) and Titanium Alloys Microstructure and Properties (67 papers). İbrahim Karaman is often cited by papers focused on Shape Memory Alloy Transformations (238 papers), Microstructure and mechanical properties (79 papers) and Titanium Alloys Microstructure and Properties (67 papers). İbrahim Karaman collaborates with scholars based in United States, Germany and Russia. İbrahim Karaman's co-authors include Hans Jürgen Maier, Y.I. Chumlyakov, Ji Ma, Hüseyin Şehitoğlu, Raymundo Arróyave, H.E. Karaca, R.D. Noebe, R.D. Noebe, И. В. Киреева and Alaa Elwany and has published in prestigious journals such as Physical Review Letters, Advanced Materials and SHILAP Revista de lepidopterología.

In The Last Decade

İbrahim Karaman

436 papers receiving 17.7k citations

Hit Papers

High temperature shape me... 2010 2026 2015 2020 2010 2022 2022 250 500 750

Author Peers

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

Author Last Decade Papers Cites
İbrahim Karaman 14.2k 10.9k 3.2k 2.1k 1.4k 451 18.1k
Hans Jürgen Maier 12.3k 0.9× 11.7k 1.1× 2.0k 0.6× 3.8k 1.8× 1.5k 1.0× 686 19.0k
Hüseyin Şehitoğlu 10.9k 0.8× 10.3k 0.9× 1.4k 0.4× 6.0k 2.8× 1.5k 1.0× 337 16.7k
Gunther Eggeler 13.4k 0.9× 17.5k 1.6× 1.5k 0.5× 3.6k 1.7× 7.7k 5.3× 466 24.9k
Jun Sun 11.5k 0.8× 11.3k 1.0× 1.1k 0.4× 3.8k 1.8× 4.1k 2.8× 574 17.7k
Yong Liu 4.9k 0.3× 4.6k 0.4× 948 0.3× 1.3k 0.6× 1.5k 1.0× 259 8.5k
Dimitris C. Lagoudas 12.8k 0.9× 3.9k 0.4× 1.6k 0.5× 3.9k 1.8× 1.0k 0.7× 439 17.1k
Guozheng Kang 6.3k 0.4× 8.5k 0.8× 435 0.1× 6.5k 3.1× 1.0k 0.7× 506 14.4k
Shuichi Miyazaki 16.6k 1.2× 9.1k 0.8× 1.1k 0.3× 2.9k 1.3× 307 0.2× 371 18.5k
Kazuhiro Otsuka 17.7k 1.2× 8.4k 0.8× 2.8k 0.9× 1.9k 0.9× 454 0.3× 249 19.2k
J. Van Humbeeck 6.3k 0.4× 7.0k 0.6× 643 0.2× 991 0.5× 522 0.4× 195 10.6k

Countries citing papers authored by İbrahim Karaman

Since Specialization
Citations

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

Fields of papers citing papers by İbrahim Karaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İbrahim Karaman

This figure shows the co-authorship network connecting the top 25 collaborators of İbrahim Karaman. A scholar is included among the top collaborators of İbrahim Karaman 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 İbrahim Karaman. İbrahim Karaman 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.
Brown, Timothy D., et al.. (2025). A composition-based predictive model for the transformation strain of NiTi shape memory alloys. Acta Materialia. 289. 120861–120861. 1 indexed citations
2.
Paramore, James D., Brady G. Butler, José Luis Cortés, et al.. (2025). Two-shot optimization of compositionally complex refractory alloys. Acta Materialia. 289. 120820–120820. 1 indexed citations
3.
Benafan, Othmane, et al.. (2025). Inelasticity-driven and path-dependent shifts in the transformation temperatures of high-temperature shape memory alloys. Materials Science and Engineering A. 949. 149376–149376.
4.
Vaughan, M.W., et al.. (2025). Effects of severe ausforming on hierarchical microstructural development and mechanical performance in a martensitic high-strength steel. Materials Science and Engineering A. 939. 148337–148337. 2 indexed citations
5.
Lagoudas, Dimitris C., et al.. (2024). Fracture toughness and fatigue crack growth resistance of precipitate-free and precipitation hardened NiTiHf shape memory alloys. Materials Science and Engineering A. 900. 146443–146443. 5 indexed citations
6.
Singh, Prashant, Brent Vela, Prince Sharma, et al.. (2024). Alloying effects on the transport properties of refractory high-entropy alloys. Acta Materialia. 276. 120032–120032. 14 indexed citations
7.
Xie, Kelvin Y., et al.. (2024). Weak strain-rate sensitivity of hardness in the VCoNi equi-atomic medium entropy alloy. Materials Science and Engineering A. 913. 147091–147091. 2 indexed citations
8.
Manley, Michael E., Paul Stonaha, Nickolaus M. Bruno, et al.. (2024). Hybrid magnon-phonon localization enhances function near ferroic glassy states. Science Advances. 10(24). eadn2840–eadn2840. 4 indexed citations
9.
Mabe, James H., et al.. (2023). Order of magnitude increase in actuation fatigue lifetime through partial austenitic transformation of NiTiHf high-temperature shape memory alloys. Materials Science and Engineering A. 887. 145717–145717. 7 indexed citations
10.
Vela, Brent, et al.. (2023). Data-augmented modeling for yield strength of refractory high entropy alloys: A Bayesian approach. Acta Materialia. 261. 119351–119351. 31 indexed citations
11.
Dong, Jiaqi, et al.. (2023). Property and microstructure of Ni50.3Ti29.7Hf20 high-temperature shape memory alloys with different aging conditions. Acta Materialia. 265. 119642–119642. 7 indexed citations
12.
Trehern, William, et al.. (2023). An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys. Computational Materials Science. 226. 112225–112225. 8 indexed citations
13.
Huang, Xueqin, Raiyan Seede, Kübra Karayağız, et al.. (2023). Predictive microstructure distribution and printability maps in laser powder bed fusion for a Ni–Cu alloy. Computational Materials Science. 231. 112605–112605. 4 indexed citations
14.
Salas, D., et al.. (2023). NMR study of Ni50+xTi50x strain glasses. Physical review. B.. 107(14). 1 indexed citations
16.
Baxevanis, Theocharis, et al.. (2019). Stable crack growth in NiTi shape memory alloys: 3D finite element modeling and experimental validation. Smart Materials and Structures. 28(6). 64001–64001. 18 indexed citations
17.
Salas, D., Yuhao Wang, Thien Duong, et al.. (2019). Effects of composition and crystallographic ordering on the ferromagnetic transition in Ni Co Mn In magnetic shape memory alloys. Acta Materialia. 166. 630–637. 7 indexed citations
18.
Karayağız, Kübra, Luke Johnson, Raiyan Seede, et al.. (2019). Finite interface dissipation phase field modeling of Ni–Nb under additive manufacturing conditions. Acta Materialia. 185. 320–339. 123 indexed citations
19.
Johnson, Luke, Mohamad Mahmoudi, Bing Zhang, et al.. (2019). Assessing printability maps in additive manufacturing of metal alloys. Acta Materialia. 176. 199–210. 181 indexed citations
20.
Wang, Yuhao, D. Salas, Thien Duong, et al.. (2018). On the fast kinetics of B2–L21 ordering in Ni-Co-Mn-In metamagnetic shape memory alloys. Journal of Alloys and Compounds. 781. 479–489. 12 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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