Rohit Batra

6.3k total citations · 2 hit papers
54 papers, 4.6k citations indexed

About

Rohit Batra is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Rohit Batra has authored 54 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 16 papers in Electrical and Electronic Engineering and 11 papers in Organic Chemistry. Recurrent topics in Rohit Batra's work include Machine Learning in Materials Science (29 papers), Computational Drug Discovery Methods (10 papers) and X-ray Diffraction in Crystallography (9 papers). Rohit Batra is often cited by papers focused on Machine Learning in Materials Science (29 papers), Computational Drug Discovery Methods (10 papers) and X-ray Diffraction in Crystallography (9 papers). Rohit Batra collaborates with scholars based in United States, India and Switzerland. Rohit Batra's co-authors include Rampi Ramprasad, Chiho Kim, Ghanshyam Pilania, Arun Mannodi‐Kanakkithodi, Tran Doan Huan, Lihua Chen, James Chapman, Venkatesh Botu, Anand Chandrasekaran and Le Song and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Rohit Batra

53 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning in materials informatics: recent applications and prospects

2017 1.3k citations Rampi Ramprasad, Rohit Batra et al. npj Computational Materials profile →
Machine Learning Force Fields: Construction, Validation, and Outlook

2016 376 citations Rohit Batra, Rampi Ramprasad et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rohit Batra United States	28	3.2k	1.3k	793	504	478	54	4.6k
Chiho Kim United States	28	3.2k 1.0×	1.2k 1.0×	900 1.1×	646 1.3×	584 1.2×	65	4.6k
Wencong Lu China	43	2.8k 0.9×	1.4k 1.1×	607 0.8×	543 1.1×	706 1.5×	199	6.2k
Rafael Gómez‐Bombarelli United States	35	2.4k 0.8×	1.4k 1.1×	1.3k 1.7×	419 0.8×	223 0.5×	126	5.1k
Benjamín Sánchez-Lengeling United States	18	2.7k 0.9×	1.7k 1.4×	1.7k 2.1×	465 0.9×	374 0.8×	28	5.3k
Ghanshyam Pilania United States	37	4.8k 1.5×	1.6k 1.3×	930 1.2×	974 1.9×	806 1.7×	103	6.4k
Tran Doan Huan United States	35	4.0k 1.3×	2.3k 1.8×	722 0.9×	1.1k 2.2×	404 0.8×	101	5.6k
Daniel W. Davies United Kingdom	17	2.6k 0.8×	810 0.6×	693 0.9×	393 0.8×	386 0.8×	49	3.9k
Amir Barati Farimani United States	38	2.7k 0.8×	1.1k 0.8×	619 0.8×	1.7k 3.3×	483 1.0×	142	5.5k
Hugh Cartwright United Kingdom	16	2.2k 0.7×	680 0.5×	692 0.9×	472 0.9×	409 0.9×	48	3.9k
Arun Mannodi‐Kanakkithodi United States	23	2.4k 0.8×	934 0.7×	545 0.7×	593 1.2×	431 0.9×	63	3.1k

Countries citing papers authored by Rohit Batra

Since Specialization

Citations

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

Fields of papers citing papers by Rohit Batra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Batra

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Batra. A scholar is included among the top collaborators of Rohit Batra 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 Rohit Batra. Rohit Batra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Loeffler, Troy D., et al.. (2026). Physically interpretable interatomic potentials via symbolic regression and reinforcement learning. npj Computational Materials. 12(1).

Sankaranarayanan, Subramanian K. R. S., et al.. (2025). Discovery of unconventional and nonintuitive self-assembling peptide materials using experiment-driven machine learning. Science Advances. 11(24). eadt9466–eadt9466. 3 indexed citations

Thiyagarajan, R., et al.. (2025). Probing phonon anharmonicity of multilayer Ti3C2Tx (T: OH, O, or F) MXene through temperature- and pressure-dependent Raman studies. Physical review. B.. 111(11). 2 indexed citations

Amirthalingam, Murugaiyan, et al.. (2025). Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI. Nature Machine Intelligence. 7(1). 79–84. 4 indexed citations

Batra, Rohit, et al.. (2025). Magnetic Frameworks and Non‐Magnetic Dopants: A Novel Strategy for Enhancing Thermoelectric Efficiency in Manganese Telluride – Mechanistic Insights into Charge Carrier Dynamics and Phonon Transport. Small. 21(25). e2411481–e2411481. 2 indexed citations

Kim, Yeonju, Rohit Batra, Naisong Shan, et al.. (2025). Autonomous platform for solution processing of electronic polymers. Nature Communications. 16(1). 1498–1498. 19 indexed citations

Balasubramanian, Karthik, Sukriti Manna, Suvo Banik, et al.. (2024). Machine learning enabled discovery of superhard and ultrahard carbon polymorphs. Computational Materials Science. 246. 113506–113506. 1 indexed citations

Manna, Sukriti, et al.. (2024). Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals. ACS Applied Materials & Interfaces. 16(16). 20681–20692. 3 indexed citations

Carrillo, Jan‐Michael Y., Tarak K. Patra, Thomas P. Russell, et al.. (2024). Accelerated Sequence Design of Star Block Copolymers: An Unbiased Exploration Strategy via Fusion of Molecular Dynamics Simulations and Machine Learning. The Journal of Physical Chemistry B. 128(17). 4220–4230. 1 indexed citations

10.

Manna, Sukriti, Troy D. Loeffler, Rohit Batra, et al.. (2022). Learning in continuous action space for developing high dimensional potential energy models. Nature Communications. 13(1). 368–368. 41 indexed citations

11.

Batra, Rohit, Troy D. Loeffler, Henry Chan, et al.. (2022). Machine learning overcomes human bias in the discovery of self-assembling peptides. Nature Chemistry. 14(12). 1427–1435. 100 indexed citations

12.

Batra, Rohit, Sukriti Manna, Troy D. Loeffler, et al.. (2022). Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene. The Journal of Physical Chemistry Letters. 13(7). 1886–1893. 18 indexed citations

13.

Srinivasan, Srilok, Rohit Batra, Duan Luo, et al.. (2022). Machine learning the metastable phase diagram of covalently bonded carbon. Nature Communications. 13(1). 3251–3251. 28 indexed citations

14.

Srinivasan, Srilok, Rohit Batra, Henry Chan, et al.. (2021). Artificial Intelligence-Guided De Novo Molecular Design Targeting COVID-19. ACS Omega. 6(19). 12557–12566. 27 indexed citations

15.

Banik, Suvo, Troy D. Loeffler, Rohit Batra, et al.. (2021). Learning with Delayed Rewards—A Case Study on Inverse Defect Design in 2D Materials. ACS Applied Materials & Interfaces. 13(30). 36455–36464. 20 indexed citations

16.

Batra, Rohit, Henry Chan, Ganesh Kamath, et al.. (2020). Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies. The Journal of Physical Chemistry Letters. 11(17). 7058–7065. 66 indexed citations

17.

Huan, Tran Doan, Chiho Kim, Lihua Chen, et al.. (2020). Machine-learning predictions of polymer properties with Polymer Genome. Journal of Applied Physics. 128(17). 182 indexed citations

18.

Chen, Lihua, et al.. (2020). Refractive index prediction models for polymers using machine learning. Journal of Applied Physics. 127(21). 39 indexed citations

19.

Chen, Lihua, Chiho Kim, Rohit Batra, et al.. (2020). Frequency-dependent dielectric constant prediction of polymers using machine learning. npj Computational Materials. 6(1). 142 indexed citations

20.

Müller, Jürgen F. K., Bernhard Spingler, Margareta Zehnder, & Rohit Batra. (1996). Synthesis and X‐Ray Structure of Bis{S‐(1‐lithio‐3,3‐diphenylprop‐2‐enyl)‐N‐methyl‐S‐phenylsulfoximine– Tetrahydrofuran (1/2)} Complemented by Model ab initio Calculations of α‐Lithiosulfoximines. Helvetica Chimica Acta. 79(3). 820–826. 18 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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