H.E. Karaca

7.9k total citations
130 papers, 6.6k citations indexed

About

H.E. Karaca is a scholar working on Materials Chemistry, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, H.E. Karaca has authored 130 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Materials Chemistry, 39 papers in Mechanical Engineering and 32 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in H.E. Karaca's work include Shape Memory Alloy Transformations (119 papers), Magnetic and transport properties of perovskites and related materials (29 papers) and High Entropy Alloys Studies (22 papers). H.E. Karaca is often cited by papers focused on Shape Memory Alloy Transformations (119 papers), Magnetic and transport properties of perovskites and related materials (29 papers) and High Entropy Alloys Studies (22 papers). H.E. Karaca collaborates with scholars based in United States, Türkiye and Russia. H.E. Karaca's co-authors include Y.I. Chumlyakov, Mohammad Elahinia, İbrahim Karaman, B. Basaran, Hans Jürgen Maier, Soheil Saedi, R.D. Noebe, Narges Shayesteh Moghaddam, Ali Sadi Turabi and Hirobumi Tobe and has published in prestigious journals such as Applied Physics Letters, Advanced Functional Materials and Acta Materialia.

In The Last Decade

H.E. Karaca

129 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.E. Karaca United States 47 5.7k 3.2k 1.4k 440 411 130 6.6k
Y.I. Chumlyakov Russia 54 8.1k 1.4× 4.7k 1.5× 2.0k 1.4× 62 0.1× 243 0.6× 223 9.2k
M. Wägner Germany 34 4.1k 0.7× 2.4k 0.7× 379 0.3× 57 0.1× 304 0.7× 156 5.0k
Ausonio Tuissi Italy 33 2.2k 0.4× 2.7k 0.9× 210 0.1× 1.1k 2.5× 288 0.7× 219 4.2k
Y.X. Tong China 27 2.0k 0.3× 1.2k 0.4× 449 0.3× 91 0.2× 147 0.4× 139 2.3k
A. Dlouhý Czechia 36 3.9k 0.7× 7.1k 2.2× 335 0.2× 56 0.1× 717 1.7× 127 8.8k
Markus Chmielus United States 32 1.1k 0.2× 2.1k 0.7× 419 0.3× 1.5k 3.5× 605 1.5× 79 3.4k
Reginald F. Hamilton United States 20 1.7k 0.3× 1.1k 0.4× 252 0.2× 193 0.4× 141 0.3× 44 2.2k
Qianhua Kan China 40 3.3k 0.6× 2.8k 0.9× 244 0.2× 95 0.2× 387 0.9× 231 5.4k
Jaronie Mohd Jani Australia 6 2.6k 0.5× 1.0k 0.3× 204 0.1× 58 0.1× 600 1.5× 8 3.3k
Ziad Moumni France 30 2.4k 0.4× 599 0.2× 305 0.2× 75 0.2× 202 0.5× 87 2.8k

Countries citing papers authored by H.E. Karaca

Since Specialization
Citations

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

Fields of papers citing papers by H.E. Karaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.E. Karaca. 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 H.E. Karaca. The network helps show where H.E. Karaca may publish in the future.

Co-authorship network of co-authors of H.E. Karaca

This figure shows the co-authorship network connecting the top 25 collaborators of H.E. Karaca. A scholar is included among the top collaborators of H.E. Karaca 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 H.E. Karaca. H.E. Karaca 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.
Saghaian, Sayed Ehsan, et al.. (2025). Elastocaloric behavior of NiTi and NiTiHfPd shape memory alloys. Materialia. 44. 102595–102595.
2.
Kaya, İrfan & H.E. Karaca. (2025). Effect of aging treatment on the phase transformation behavior and functional properties of highly Ni-rich NiTiNb shape memory alloys. Journal of Alloys and Compounds. 1038. 182858–182858. 1 indexed citations
3.
Saghaian, Sayed Ehsan, Mohammadreza Nematollahi, Sayed M. Saghaian, et al.. (2023). Correction to: Enhancing Shape Memory Response of Additively Manufactured Niti Shape Memory Alloys by Texturing and Post-Processing Heat Treatment. Shape Memory and Superelasticity. 9(2). 377–377. 1 indexed citations
4.
Murdoch, Heather A., et al.. (2023). Depth-dependent microstructure and mechanical properties of hot rolled AA7075. Materials Science and Engineering A. 892. 146056–146056. 6 indexed citations
5.
Saghaian, Sayed Ehsan, Mohammadreza Nematollahi, Guher P. Toker, et al.. (2023). Enhancing Shape Memory Response of Additively Manufactured Niti Shape Memory Alloys by Texturing and Post-Processing Heat Treatment. Shape Memory and Superelasticity. 9(1). 192–206. 14 indexed citations
6.
Karaca, H.E., et al.. (2023). A machine learning approach to predict austenite finish temperature in quaternary NiTiHfPd SMAs. Materials Today Communications. 38. 107847–107847. 7 indexed citations
7.
8.
Karaca, H.E., et al.. (2020). Picosecond laser-induced shock waves patterning on shape memory alloys. 37–37. 1 indexed citations
9.
Moghaddam, Narges Shayesteh, Soheil Saedi, Amirhesam Amerinatanzi, et al.. (2019). Achieving superelasticity in additively manufactured NiTi in compression without post-process heat treatment. Scientific Reports. 9(1). 41–41. 177 indexed citations
10.
Li, Peizhen, H.E. Karaca, & Yang‐Tse Cheng. (2017). Rapid Characterization of Local Shape Memory Properties through Indentation. Scientific Reports. 7(1). 14827–14827. 14 indexed citations
11.
Andani, Mohsen Taheri, Soheil Saedi, Ali Sadi Turabi, et al.. (2017). Mechanical and shape memory properties of porous Ni50.1Ti49.9 alloys manufactured by selective laser melting. Journal of the mechanical behavior of biomedical materials. 68. 224–231. 155 indexed citations
12.
Aydoğdu, Y., et al.. (2016). The effects of substituting B for Cu on the magnetic and shape memory properties of CuAlMnB alloys. Applied Physics A. 122(7). 6 indexed citations
13.
Timofeeva, Е. Е., et al.. (2016). Effects of ageing on microstructure and superelastic behavior of [110]-oriented Ni45.3Ti29.7Hf20Pd5 single crystals. Materials Science and Engineering A. 674. 498–503. 2 indexed citations
14.
Kaya, İrfan, et al.. (2015). U-Shape Slot Antenna Design with High-Strength Ni54Ti46 Alloy. Arabian Journal for Science and Engineering. 41(9). 3297–3307. 12 indexed citations
15.
Karaca, H.E.. (2014). Shape Memory Behavior of Highly Ni-Rich NiTi Alloys. 1 indexed citations
16.
Aydoğdu, Y., et al.. (2014). Effects of the substitution of gallium with boron on the physical and mechanical properties of Ni–Mn–Ga shape memory alloys. Applied Physics A. 117(4). 2073–2078. 24 indexed citations
17.
Kaynak, Yusuf, H.E. Karaca, R.D. Noebe, & I.S. Jawahir. (2013). Analysis of Tool-wear and Cutting Force Components in Dry, Preheated, and Cryogenic Machining of NiTi Shape Memory Alloys. Procedia CIRP. 8. 498–503. 59 indexed citations
18.
Karaca, H.E., Ali Sadi Turabi, B. Basaran, et al.. (2013). Compressive Response of Polycrystalline NiCoMnGa High-Temperature Meta-magnetic Shape Memory Alloys. Journal of Materials Engineering and Performance. 22(10). 3111–3114. 7 indexed citations
19.
Karaca, H.E., B. Basaran, İbrahim Karaman, & Y. I. Chumlyakov. (2012). Stress-induced martensite to austenite phase transformation in Ni2MnGa magnetic shape memory alloys. Smart Materials and Structures. 21(4). 45011–45011. 12 indexed citations
20.
Pathak, Arjun K., Igor Dubenko, H.E. Karaca, Shane Stadler, & Naushad Ali. (2010). Large inverse magnetic entropy changes and magnetoresistance in the vicinity of a field-induced martensitic transformation in Ni50−xCoxMn32−yFeyGa18. Applied Physics Letters. 97(6). 45 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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