Rajesh K. Khatirkar

2.6k total citations
100 papers, 2.1k citations indexed

About

Rajesh K. Khatirkar is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Rajesh K. Khatirkar has authored 100 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Mechanical Engineering, 69 papers in Materials Chemistry and 35 papers in Mechanics of Materials. Recurrent topics in Rajesh K. Khatirkar's work include Microstructure and Mechanical Properties of Steels (46 papers), Titanium Alloys Microstructure and Properties (26 papers) and Hydrogen embrittlement and corrosion behaviors in metals (25 papers). Rajesh K. Khatirkar is often cited by papers focused on Microstructure and Mechanical Properties of Steels (46 papers), Titanium Alloys Microstructure and Properties (26 papers) and Hydrogen embrittlement and corrosion behaviors in metals (25 papers). Rajesh K. Khatirkar collaborates with scholars based in India, South Korea and United Kingdom. Rajesh K. Khatirkar's co-authors include Aman Gupta, Sanjay G. Sapate, S.G. Sapate, Nitesh Vashishtha, Amit Kumar, Ravindra V. Taiwade, Jaiveer Singh, Jagesvar Verma, Satyam Suwas and Satish Kumar Shekhawat and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Materials Science and Engineering A.

In The Last Decade

Rajesh K. Khatirkar

93 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajesh K. Khatirkar India 25 1.7k 1.1k 655 500 382 100 2.1k
A. Abdollah-zadeh Iran 32 3.4k 2.0× 1.3k 1.1× 719 1.1× 326 0.7× 1.1k 2.9× 82 3.7k
Timing Zhang China 24 1.5k 0.9× 1.0k 0.9× 338 0.5× 731 1.5× 335 0.9× 68 2.1k
B. Ravi Kumar India 24 1.5k 0.8× 919 0.8× 508 0.8× 524 1.0× 137 0.4× 80 1.6k
J. Chao Spain 23 1.2k 0.7× 1.1k 1.0× 376 0.6× 260 0.5× 308 0.8× 73 1.6k
Hamilton Ferreira Gomes de Abreu Brazil 29 2.2k 1.3× 1.4k 1.2× 545 0.8× 1.3k 2.6× 171 0.4× 151 2.6k
Azdiar A. Gazder Australia 28 2.1k 1.2× 1.9k 1.6× 759 1.2× 385 0.8× 241 0.6× 102 2.4k
Chang‐Seok Oh South Korea 25 2.1k 1.2× 1.5k 1.3× 704 1.1× 684 1.4× 261 0.7× 52 2.3k
M. Eskandari Iran 28 1.6k 0.9× 1.5k 1.3× 590 0.9× 989 2.0× 135 0.4× 70 2.1k
Sangshik Kim South Korea 29 2.3k 1.3× 1.3k 1.2× 703 1.1× 493 1.0× 911 2.4× 133 2.7k
Hyun-Uk Hong South Korea 31 2.9k 1.7× 1.4k 1.2× 700 1.1× 479 1.0× 528 1.4× 133 3.1k

Countries citing papers authored by Rajesh K. Khatirkar

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh K. Khatirkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajesh K. Khatirkar. 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 Rajesh K. Khatirkar. The network helps show where Rajesh K. Khatirkar may publish in the future.

Co-authorship network of co-authors of Rajesh K. Khatirkar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh K. Khatirkar. A scholar is included among the top collaborators of Rajesh K. Khatirkar 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 Rajesh K. Khatirkar. Rajesh K. Khatirkar 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.
Hiwarkar, Vijay, et al.. (2026). Cyclic deformation and low-cycle fatigue life prediction of stress-relieved LPBF AlSi10Mg via strain-based models. Journal of Alloys and Compounds. 1059. 187160–187160.
3.
Prakash, R. Shanmuga, Bikash Kumar, & Rajesh K. Khatirkar. (2025). Probing the Thermo-Mechanical Behaviour of Multi-Track, & Multi-Layer Deposition of Lightweight α+β Ti-Alloy Using Finite Element Modelling Tool. Procedia Structural Integrity. 71. 325–332.
4.
Khatirkar, Rajesh K., et al.. (2024). Effect of aging on tensile and fracture behavior of a metastable Ti-15 V–3Cr–3Al–3Sn β-titanium alloy. Journal of Alloys and Compounds. 1004. 175803–175803. 13 indexed citations
5.
Bhadauria, Alok, et al.. (2024). Investigating the structural properties and wear resistance of martensitic stainless steels. PLoS ONE. 19(11). e0312242–e0312242. 2 indexed citations
7.
Gupta, Aman, et al.. (2023). Correlation of Alpha Phase and Its Texture Stability in Heat-Treated Ti-6.5%Al-4.4%V-0.15%Fe Alloy. Journal of Materials Engineering and Performance. 32(21). 9599–9613. 5 indexed citations
8.
Kumar, Deepak, et al.. (2023). Modelling of flow stresses during hot deformation of Ti–6Al–4Mo–1V–0.1Si alloy. Journal of materials research/Pratt's guide to venture capital sources. 38(15). 3750–3763. 9 indexed citations
9.
Khatirkar, Rajesh K., et al.. (2023). Structural and wear assessment of H11 die steel as a function of tempering temperature. Materials Today Proceedings. 2 indexed citations
10.
Kumar, Amit, et al.. (2021). Multistep Cross Rolling of UNS S32101 Steel: Microstructure, Texture, and Magnetic Properties. Journal of Materials Engineering and Performance. 30(4). 2916–2929. 15 indexed citations
11.
Gupta, Aman, et al.. (2021). Texture Development During Cold Rolling of a β-Ti Alloy: Experiments and Simulations. Metallurgical and Materials Transactions A. 52(3). 1031–1043. 17 indexed citations
12.
Gupta, Aman, et al.. (2019). Microstructure and texture development in Ti-15V-3Cr-3Sn-3Al alloy – Possible role of strain path. Materials Characterization. 156. 109884–109884. 50 indexed citations
13.
Hiwarkar, Vijay, et al.. (2018). Effect of TiB2 addition on the microstructure and wear resistance of Ti-6Al-4V alloy fabricated through direct metal laser sintering (DMLS). Journal of Alloys and Compounds. 777. 165–173. 79 indexed citations
14.
Kumar, Amit, Aman Gupta, Rajesh K. Khatirkar, & Satyam Suwas. (2018). Texture development during cross rolling of a dual-phase Fe–Cr–Ni alloy: experiments and simulations. Philosophical Magazine Letters. 98(1). 17–26. 3 indexed citations
15.
Sapate, S.G., et al.. (2018). Friction and abrasive wear behaviour of Al 2 O 3 -13TiO 2 and Al 2 O 3 -13TiO 2 +Ni Graphite coatings. Tribology International. 121. 353–372. 69 indexed citations
16.
Kumar, Amit, et al.. (2017). Texture development during cold rolling of Fe–Cr–Ni alloy-experiments and simulations. The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics. 97(23). 1939–1962. 15 indexed citations
17.
Vashishtha, Nitesh, Rajesh K. Khatirkar, & S.G. Sapate. (2016). Tribological behaviour of HVOF sprayed WC-12Co, WC-10Co-4Cr and Cr3C2−25NiCr coatings. Tribology International. 105. 55–68. 158 indexed citations
18.
Khatirkar, Rajesh K., K.V. Mani Krishna, Léo Kestens, et al.. (2011). Strain Localizations in Ultra Low Carbon Steel. Materials science forum. 702-703. 782–785. 2 indexed citations
19.
Khatirkar, Rajesh K. & B.S. Murty. (2010). Structural changes in iron powder during ball milling. Materials Chemistry and Physics. 123(1). 247–253. 36 indexed citations
20.
Karthikeyan, T., Arup Dasgupta, S. Saroja, et al.. (2007). Study of texture and microtexture during β to α+β transformation in a Ti–5Ta–1.8Nb alloy. Materials Science and Engineering A. 485(1-2). 581–588. 8 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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