Ankit Roy

1.5k total citations
54 papers, 1.2k citations indexed

About

Ankit Roy is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Ankit Roy has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 24 papers in Mechanical Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Ankit Roy's work include High Entropy Alloys Studies (17 papers), Additive Manufacturing Materials and Processes (12 papers) and High-Temperature Coating Behaviors (10 papers). Ankit Roy is often cited by papers focused on High Entropy Alloys Studies (17 papers), Additive Manufacturing Materials and Processes (12 papers) and High-Temperature Coating Behaviors (10 papers). Ankit Roy collaborates with scholars based in United States and India. Ankit Roy's co-authors include Ganesh Balasubramanian, Brandon A. Krick, Tomas F. Babuska, D. D. Johnson, Ram Devanathan, J. M. Rickman, Helen M. Chan, Christopher J. Marvel, Joshua A. Smeltzer and M. F. N. Taufique and has published in prestigious journals such as Nature Communications, Acta Materialia and Scientific Reports.

In The Last Decade

Ankit Roy

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Roy United States 15 741 522 360 159 138 54 1.2k
James Carr United Kingdom 18 457 0.6× 398 0.8× 288 0.8× 116 0.7× 185 1.3× 33 932
J. E. Spowart United States 20 621 0.8× 584 1.1× 199 0.6× 445 2.8× 76 0.6× 35 1.3k
Amit Sharma India 19 732 1.0× 653 1.3× 220 0.6× 206 1.3× 174 1.3× 81 1.3k
Youhai Wen United States 25 997 1.3× 1.0k 2.0× 548 1.5× 274 1.7× 222 1.6× 63 1.7k
Yan Hu China 20 348 0.5× 722 1.4× 111 0.3× 172 1.1× 295 2.1× 51 1.2k
Peng Jiang China 21 463 0.6× 615 1.2× 96 0.3× 223 1.4× 260 1.9× 93 1.1k
Jiming Chen China 19 277 0.4× 716 1.4× 100 0.3× 158 1.0× 162 1.2× 60 948
Long Wang China 22 826 1.1× 798 1.5× 381 1.1× 268 1.7× 153 1.1× 108 1.8k
Bin Ma China 17 439 0.6× 383 0.7× 74 0.2× 101 0.6× 126 0.9× 48 898
Yuliang Zhao China 26 1.2k 1.6× 794 1.5× 985 2.7× 206 1.3× 196 1.4× 113 1.8k

Countries citing papers authored by Ankit Roy

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Roy. A scholar is included among the top collaborators of Ankit Roy 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 Ankit Roy. Ankit Roy 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.
Roy, Ankit, Krishna Chaitanya Pitike, Christopher Matthews, et al.. (2025). Effect of Mg and Ni impurities on tritium diffusion in lithium ceramics through cluster dynamics simulations. Journal of Nuclear Materials. 608. 155736–155736. 2 indexed citations
2.
Roy, Ankit, Weilin Jiang, Giridhar Nandipati, et al.. (2025). Molecular dynamics study of grain boundaries as defect sinks under irradiation in LiAlO2 and LiAl5O8. npj Materials Degradation. 9(1). 4 indexed citations
3.
Roy, Ankit, Ram Devanathan, Mohan Sai Kiran Kumar Yadav Nartu, & Vineet V. Joshi. (2025). Autonomous alloy composition optimization using molecular dynamics guided by a large language model. Scripta Materialia. 272. 117048–117048. 1 indexed citations
4.
Roy, Ankit, Rajib Kalsar, Miao Song, & Vineet V. Joshi. (2024). Atomistic simulations to reveal HIP-bonding mechanisms of Al6061/Al6061. Acta Materialia. 281. 120402–120402. 6 indexed citations
5.
6.
Roy, Ankit, Subhashish Meher, Mohan Sai Kiran Kumar Yadav Nartu, et al.. (2024). Critical mineral substitutions in IN617: A combined computational and experimental approach to performance evaluation and feasibility. Materialia. 39. 102319–102319. 4 indexed citations
7.
Roy, Ankit, Michel Sassi, Krishna Chaitanya Pitike, et al.. (2024). Cluster dynamics simulations of tritium and helium diffusion in lithium ceramics. Journal of Nuclear Materials. 592. 154970–154970. 7 indexed citations
8.
Roy, Ankit, Andrew M. Casella, David J. Senor, Weilin Jiang, & Ram Devanathan. (2024). Molecular dynamics simulations of displacement cascades in LiAlO2 and LiAl5O8 ceramics. Scientific Reports. 14(1). 1897–1897. 7 indexed citations
9.
Roy, Ankit, et al.. (2024). Optical Evidence of Compositional Fractioning between Plasma‐Condensed and Melt Pool Matter. Advanced Engineering Materials. 26(13). 1 indexed citations
10.
Roy, Ankit, et al.. (2024). Chemical composition based machine learning model to predict defect formation in additive manufacturing. Materialia. 33. 102041–102041. 6 indexed citations
11.
Roy, Ankit, Prince Sharma, Ganesh Balasubramanian, et al.. (2023). Rapid discovery of high hardness multi-principal-element alloys using a generative adversarial network model. Acta Materialia. 257. 119177–119177. 33 indexed citations
12.
Roy, Ankit, David J. Senor, Danny J. Edwards, Andrew M. Casella, & Ram Devanathan. (2023). Insights into radiation resistance of titanium alloys from displacement cascade simulations. Journal of Nuclear Materials. 586. 154695–154695. 8 indexed citations
13.
Roy, Ankit, et al.. (2023). Rapid method of arsenic estimation in geological samples by WD-XRF using a novel concept of As–Pb concentration equivalence. Analytical Sciences. 39(9). 1531–1539. 6 indexed citations
14.
Roy, Ankit, et al.. (2023). Determination and speciation of arsenic in drinking water samples by X-ray spectrometry technique. Analytical Sciences. 40(2). 309–317. 8 indexed citations
15.
Taufique, M. F. N., Osman Mamun, Ankit Roy, et al.. (2023). Machine learning guided prediction of the yield strength and hardness of multi-principal element alloys. 2. 9–9. 2 indexed citations
16.
Taufique, M. F. N., Ankit Roy, Ganesh Balasubramanian, et al.. (2021). Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys. Scientific Reports. 11(1). 17149–17149. 70 indexed citations
17.
Roy, Ankit, Tomas F. Babuska, Brandon A. Krick, & Ganesh Balasubramanian. (2020). Machine learned feature identification for predicting phase and Young's modulus of low-, medium- and high-entropy alloys. Scripta Materialia. 185. 152–158. 144 indexed citations
18.
Rickman, J. M., Helen M. Chan, Joshua A. Smeltzer, et al.. (2019). Materials informatics for the screening of multi-principal elements and high-entropy alloys. Nature Communications. 10(1). 2618–2618. 188 indexed citations
19.
García-Díaz, Brenda L. & Ankit Roy. (2009). MECHANISTIC UNDERSTANDING OF CAUSTIC CRACKING OF CARBON STEELS. University of North Texas Digital Library (University of North Texas).
20.

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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