Gregory Gerstein

1.6k total citations
105 papers, 1.3k citations indexed

About

Gregory Gerstein is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Gregory Gerstein has authored 105 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Mechanical Engineering, 71 papers in Materials Chemistry and 21 papers in Mechanics of Materials. Recurrent topics in Gregory Gerstein's work include Shape Memory Alloy Transformations (32 papers), Microstructure and Mechanical Properties of Steels (27 papers) and Metal Forming Simulation Techniques (19 papers). Gregory Gerstein is often cited by papers focused on Shape Memory Alloy Transformations (32 papers), Microstructure and Mechanical Properties of Steels (27 papers) and Metal Forming Simulation Techniques (19 papers). Gregory Gerstein collaborates with scholars based in Germany, Russia and Ukraine. Gregory Gerstein's co-authors include Hans Jürgen Maier, Florian Nürnberger, Burak Bal, D. Canadinç, Mirko Schaper, Boris B. Straumal, A. B. Straumal, Motomichi Koyama, A. Erman Tekkaya and Kaneaki Tsuzaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Acta Materialia.

In The Last Decade

Gregory Gerstein

102 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Gerstein Germany 18 946 733 318 231 155 105 1.3k
B. Malard France 17 847 0.9× 1.1k 1.5× 218 0.7× 226 1.0× 150 1.0× 63 1.4k
Junsong Zhang China 24 856 0.9× 1.2k 1.6× 283 0.9× 233 1.0× 64 0.4× 97 1.5k
Jorge Otubo Brazil 17 575 0.6× 660 0.9× 169 0.5× 201 0.9× 177 1.1× 75 1.1k
S. Birosca United Kingdom 23 1.5k 1.6× 926 1.3× 534 1.7× 457 2.0× 141 0.9× 46 1.8k
Qingge Xie China 22 1.7k 1.8× 967 1.3× 391 1.2× 282 1.2× 155 1.0× 53 1.9k
Mostafa Ketabchi Iran 27 1.6k 1.7× 1.0k 1.4× 723 2.3× 387 1.7× 74 0.5× 93 1.9k
Zhenzhong Sun China 24 1.9k 2.0× 836 1.1× 242 0.8× 690 3.0× 199 1.3× 95 2.3k
Zhaoxin Du China 19 959 1.0× 903 1.2× 233 0.7× 155 0.7× 67 0.4× 61 1.2k
A. Baczmański Poland 25 1.4k 1.4× 972 1.3× 716 2.3× 171 0.7× 291 1.9× 115 1.7k
Rajesh K. Khatirkar India 25 1.7k 1.8× 1.1k 1.6× 655 2.1× 382 1.7× 500 3.2× 100 2.1k

Countries citing papers authored by Gregory Gerstein

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Gerstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Gerstein

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Gerstein. A scholar is included among the top collaborators of Gregory Gerstein 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 Gregory Gerstein. Gregory Gerstein 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.
Gerstein, Gregory, Mykhaylo Motylenko, P. Krooß, et al.. (2024). Unraveling factors affecting the reversibility of martensitic phase transformation in FeNiCoAlTi shape memory alloys: Insights from HR-EBSD and acoustic emission analysis. Acta Materialia. 276. 120146–120146. 4 indexed citations
2.
Gerstein, Gregory, et al.. (2024). Influence of High Current Impulses on Element Distribution in Creep-Deformed Single-Crystal Ni-Based Superalloys. Journal of Materials Engineering and Performance. 33(22). 12593–12603. 1 indexed citations
3.
Straumal, Boris B., et al.. (2023). Coexistence of Intermetallic Complexions and Bulk Particles in Grain Boundaries in the ZEK100 Alloy. Metals. 13(8). 1407–1407. 13 indexed citations
4.
Straumal, Boris B., et al.. (2023). Grain Boundary Wetting by the Second Solid Phase: 20 Years of History. Metals. 13(5). 929–929. 11 indexed citations
5.
Herbst, Sebastian, et al.. (2023). Electroplasticity Mechanisms in hcp Materials. Advanced Engineering Materials. 25(18). 9 indexed citations
6.
Wolf, Mario, et al.. (2022). Cu-Ni-Based Alloys from Nanopowders as Potent Thermoelectric Materials for High-Power Output Applications. Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover). 1(1). 3–14. 6 indexed citations
7.
Gerstein, Gregory, et al.. (2022). High Strain Rate and Stress-State-Dependent Martensite Transformation in AISI 304 at Low Temperatures. Metals. 12(5). 747–747. 7 indexed citations
9.
Wolf, Mario, et al.. (2021). Evaluation of Cu-Ni-Based Alloys for Thermoelectric Energy Conversion. Materials science forum. 1016. 107–112. 1 indexed citations
10.
Kolomiets, A., et al.. (2021). Pressure and magnetic field-induced transport effects in Ni 45.4 Mn 40 In 14.6 alloy. Physica Scripta. 96(12). 125833–125833. 1 indexed citations
11.
Panchenko, E. Yu., et al.. (2020). Temperature dependence of martensite variant reorientation in stress-induced martensite aged Ni49Fe18Ga27Co6 single crystals. Scripta Materialia. 194. 113618–113618. 6 indexed citations
12.
L’vov, Victor A., et al.. (2020). Influence of incorporated nanoparticles on superelastic behavior of shape memory alloys. Materials Science and Engineering A. 776. 139025–139025. 2 indexed citations
13.
Gerstein, Gregory, et al.. (2019). Preparation Methods for Scanning Electron Microscope Characterization of Nano-Carbides in Cold Work Steel X153CrMoV12. Practical Metallography. 56(5). 303–316. 3 indexed citations
14.
Gerstein, Gregory, et al.. (2017). Effects of microstructural mechanisms on the localized oxidation behavior of NiTi shape memory alloys in simulated body fluid. Journal of Materials Science. 53(2). 948–958. 18 indexed citations
15.
Nürnberger, Florian, et al.. (2017). Surface modification of an austenitic stainless steel wire by a multi-pulse treatment with a high-power electric current. Journal of Materials Science. 52(13). 8007–8015. 1 indexed citations
16.
Gerstein, Gregory, et al.. (2016). Specimen preparation by ion beam slope cutting for characterization of ductile damage by scanning electron microscopy. Microscopy Research and Technique. 79(4). 321–327. 7 indexed citations
17.
Gerstein, Gregory, et al.. (2016). Ion Beam Processing in the Sample Preparation for the Analysis of Ductile Damage in Deep Drawing Steels. Practical Metallography. 53(4). 221–236. 4 indexed citations
18.
Cingöz, Ahmet, et al.. (2016). An exploration of plastic deformation dependence of cell viability and adhesion in metallic implant materials. Journal of the mechanical behavior of biomedical materials. 60. 177–186. 22 indexed citations
19.
Herbst, Sebastian, et al.. (2013). The Preparation of Metallic Joinings to Optimise their Topography. Practical Metallography. 50(7). 491–500. 1 indexed citations
20.
Yin, Qing, Gregory Gerstein, A. Erman Tekkaya, et al.. (2013). An experimental and numerical investigation of different shear test configurations for sheet metal characterization. International Journal of Solids and Structures. 51(5). 1066–1074. 101 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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