Rohit Batra

6.7k citations

55 papers · 4.8k · 2 hit papers · h-index 28

Impact in

Materials Chemistry top 1%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- MXene and MAX Phase Materials
- Electronic and Structural Properties of Oxides
Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods

Papers in

Materials Chemistry 40
- Machine Learning in Materials Science 29
- X-ray Diffraction in Crystallography 9
- MXene and MAX Phase Materials 7
Electrical and Electronic Engineering 15
- Ferroelectric and Negative Capacitance Devices 7
- Fuel Cells and Related Materials 5

Co-authors: Rampi Ramprasad (25 shared papers)Chiho Kim (10 shared papers)Ghanshyam Pilania (2 shared papers)Arun Mannodi‐Kanakkithodi (1 shared paper)Tran Doan Huan (11 shared papers)Lihua Chen (10 shared papers)James Chapman (6 shared papers)Venkatesh Botu (1 shared paper)
Journals: Computational Materials Science (5 papers)npj Computational Materials (5 papers)The Journal of Physical Chemistry C (5 papers)Chemistry of Materials (4 papers)Nature Communications (3 papers)
Partner nations: United States India Switzerland

In The Last Decade

Rohit Batra

52 papers receiving 4.7k citations

Rohit Batra's Hit Papers

align trajectories log scale

Machine learning in materials informatics: recent applications and prospects 2017 · 1.3k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2017 npj Computational Materials
2016 The Journal of Physical Chemistry C

Peers

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-authors

The 25 scholars most cited alongside Rohit Batra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rohit Batra Line = papers co-authored together Rohit Batra links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Machine learning in materials informatics: recent applications and prospects npj Computational Materials ·Rampi Ramprasad, Rohit Batra, Ghanshyam Pilania, Arun Mannodi‐Kanakkithodi, Chiho Kim Hit paper breakdown →	2017	1324
2	Machine Learning Force Fields: Construction, Validation, and Outlook The Journal of Physical Chemistry C ·Venkatesh Botu, Rohit Batra, James Chapman, Rampi Ramprasad Hit paper breakdown →	2016	385
3	Emerging materials intelligence ecosystems propelled by machine learning Nature Reviews Materials ·Rohit Batra, Le Song, Rampi Ramprasad	2020	273
4	Solving the electronic structure problem with machine learning npj Computational Materials ·Anand Chandrasekaran, Deepak Kamal, Rohit Batra, Chiho Kim, Lihua Chen, Rampi Ramprasad	2019	228
5	Machine-learning predictions of polymer properties with Polymer Genome Journal of Applied Physics ·Tran Doan Huan, Chiho Kim, Lihua Chen, Anand Chandrasekaran, Rohit Batra, Shruti Venkatram, Deepak Kamal, Jordan P. Lightstone, Rishi Gurnani, Pranav Shetty, Manav Ramprasad, Julia Laws, Madeline Shelton, Rampi Ramprasad	2020	196
6	Polymer design using genetic algorithm and machine learning Computational Materials Science ·Chiho Kim, Rohit Batra, Lihua Chen, Tran Doan Huan, Rampi Ramprasad	2020	177
7	A universal strategy for the creation of machine learning-based atomistic force fields npj Computational Materials ·Tran Doan Huan, Rohit Batra, James Chapman, Sridevi Krishnan, Lihua Chen, Rampi Ramprasad	2017	175
8	Dopants Promoting Ferroelectricity in Hafnia: Insights from a comprehensive Chemical Space Exploration Chemistry of Materials ·Rohit Batra, Tran Doan Huan, George A. Rossetti, Rampi Ramprasad	2017	170
9	Factors Favoring Ferroelectricity in Hafnia: A First-Principles Computational Study The Journal of Physical Chemistry C ·Rohit Batra, Tran Doan Huan, Jacob L. Jones, George A. Rossetti, Rampi Ramprasad	2017	170
10	Prediction of water stability of metal–organic frameworks using machine learning Nature Machine Intelligence ·Rohit Batra, Carmen Chen, Tania G. Evans, Krista S. Walton, Rampi Ramprasad	2020	157
11	Frequency-dependent dielectric constant prediction of polymers using machine learning npj Computational Materials ·Lihua Chen, Chiho Kim, Rohit Batra, Jordan P. Lightstone, Chao Wu, Zongze Li, Ajinkya A. Deshmukh, Yifei Wang, Tran Doan Huan, Priya Vashishta, Gregory A. Sotzing, Yang Cao, Rampi Ramprasad	2020	143
12	Stabilization of metastable phases in hafnia owing to surface energy effects Applied Physics Letters ·Rohit Batra, Tran Doan Huan, Rampi Ramprasad	2016	131
13	Electrochemical Stability Window of Polymeric Electrolytes Chemistry of Materials ·Lihua Chen, Shruti Venkatram, Chiho Kim, Rohit Batra, Anand Chandrasekaran, Rampi Ramprasad	2019	121
14	Machine learning models for the lattice thermal conductivity prediction of inorganic materials Computational Materials Science ·Lihua Chen, Tran Doan Huan, Rohit Batra, Chiho Kim, Rampi Ramprasad	2019	118
15	Machine learning overcomes human bias in the discovery of self-assembling peptides Nature Chemistry ·Rohit Batra, Troy D. Loeffler, Henry Chan, Srilok Srinivasan, Honggang Cui, Ivan V. Korendovych, Vikas Nanda, Liam C. Palmer, Lee A. Solomon, H. Christopher Fry, Subramanian K. R. S. Sankaranarayanan	2022	108
16	Calculations of Isotropic Hyperfine Coupling Constants of Organic Radicals. An Evaluation of Semiempirical, Hartree−Fock, and Density Functional Methods The Journal of Physical Chemistry ·Rohit Batra, Bernd Giese, Martin Spichty, Georg Gescheidt, K. N. Houk	1996	80
17	Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies The Journal of Physical Chemistry Letters ·Rohit Batra, Henry Chan, Ganesh Kamath, Rampi Ramprasad, Mathew J. Cherukara, Subramanian K. R. S. Sankaranarayanan	2020	69
18	Chemistry of C-2 Glyceryl Radicals: Indications for a New Mechanism of Lipid Damage Journal of the American Chemical Society ·Stephan N. Müller, Rohit Batra, Martin Senn, Bernd Giese, Micail Kisel, О. И. Шадыро	1997	57
19	Predicting Crystallization Tendency of Polymers Using Multifidelity Information Fusion and Machine Learning The Journal of Physical Chemistry B ·Shruti Venkatram, Rohit Batra, Lihua Chen, Chiho Kim, Madeline Shelton, Rampi Ramprasad	2020	56
20	Refractive index prediction models for polymers using machine learning Journal of Applied Physics ·Jordan P. Lightstone, Lihua Chen, Chiho Kim, Rohit Batra, Rampi Ramprasad	2020	42

About Rohit Batra

Rohit Batra is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Organic Chemistry, Molecular Biology and Computational Theory and Mathematics, having authored 55 papers that have together received 4.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (29 papers), Computational Drug Discovery Methods (10 papers), X-ray Diffraction in Crystallography (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers), MXene and MAX Phase Materials (7 papers), Fuel Cells and Related Materials (5 papers), Photochemistry and Electron Transfer Studies (5 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Materials Chemistry (3.2k citations), Computational Theory and Mathematics (770 citations), Metals and Alloys (97 citations), Catalysis (170 citations) and Structural Biology (34 citations). Rohit Batra has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Rampi Ramprasad, Chiho Kim, Ghanshyam Pilania, Arun Mannodi‐Kanakkithodi, Tran Doan Huan, Lihua Chen, James Chapman, Venkatesh Botu, Le Song and Anand Chandrasekaran. Their work appears in journals such as Computational Materials Science, npj Computational Materials, The Journal of Physical Chemistry C, Chemistry of Materials and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rohit Batra

Impact in

Papers in i

In The Last Decade

Rohit Batra

Rohit Batra's Hit Papers

Peers

Countries citing papers authored by Rohit Batra

Fields of papers citing papers by Rohit Batra

All Works

About Rohit Batra

Explore authors with similar magnitude of impact

Papers in