Ankit Agrawal
Impact in
- Metals and Alloys top 1%
- Hydrogen embrittlement and corrosion behaviors in metals
- Materials Chemistry top 0.5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
Papers in
-
- Algorithms and Data Compression 12
-
- Machine Learning in Materials Science 53
- X-ray Diffraction in Crystallography 24
- Co-authors
- Alok Choudhary (148 shared papers)Logan Ward (7 shared papers)Wei‐keng Liao (95 shared papers)Christopher Wolverton (3 shared papers)Chris Wolverton (7 shared papers)Kasthurirangan Gopalakrishnan (3 shared papers)Siddhartha Kumar Khaitan (2 shared papers)Dipendra Jha (12 shared papers)
- Journals
- Scientific Reports (10 papers)Journal of the American College of Cardiology (8 papers)Integrating materials and manufacturing innovation (6 papers)Microscopy and Microanalysis (5 papers)npj Computational Materials (4 papers)
- Partner nations
- United StatesIndiaPhilippines
In The Last Decade
Ankit Agrawal
241 papers receiving 9.7k citations
Ankit Agrawal's Hit Papers
Peers
Comparison fields: 5 of 205
- Metals and Alloys 350
- Materials Chemistry 4.9k
- Computational Theory and Mathematics 1.1k
- Structural Biology 71
- Mechanical Engineering 1.8k
Countries citing papers authored by Ankit Agrawal
This map shows the geographic impact of Ankit Agrawal'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 Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Agrawal more than expected).
Fields of papers citing papers by Ankit Agrawal
This network shows the impact of papers produced by Ankit Agrawal. 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 Agrawal. The network helps show where Ankit Agrawal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Agrawal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 260 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A general-purpose machine learning framework for predicting properties of inorganic materials Hit paper breakdown → | 2016 | 1254 |
| 2 | Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science Hit paper breakdown → | 2016 | 953 |
| 3 | Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection Hit paper breakdown → | 2017 | 753 |
| 4 | Recent advances and applications of deep learning methods in materials science Hit paper breakdown → | 2022 | 701 |
| 5 | Combinatorial screening for new materials in unconstrained composition space with machine learning Hit paper breakdown → | 2014 | 565 |
| 6 | ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition Hit paper breakdown → | 2018 | 348 |
| 7 | 2017 | 317 | |
| 8 | Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets Hit paper breakdown → | 2018 | 278 |
| 9 | 2019 | 245 | |
| 10 | 2014 | 211 | |
| 11 | 2019 | 209 | |
| 12 | 2011 | 200 | |
| 13 | 2015 | 188 | |
| 14 | 2018 | 179 | |
| 15 | 2018 | 153 | |
| 16 | 2018 | 151 | |
| 17 | 2013 | 140 | |
| 18 | 2021 | 118 | |
| 19 | 2016 | 105 | |
| 20 | 2018 | 96 |
About Ankit Agrawal
Ankit Agrawal is a scholar working on Artificial Intelligence, Materials Chemistry, Information Systems, Molecular Biology and Computer Networks and Communications, having authored 260 papers that have together received 9.9k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (53 papers), X-ray Diffraction in Crystallography (24 papers), Complex Network Analysis Techniques (17 papers), Genomics and Phylogenetic Studies (17 papers), Algorithms and Data Compression (12 papers), Machine Learning in Bioinformatics (12 papers), Data Mining Algorithms and Applications (12 papers) and Advanced Data Storage Technologies (12 papers). The work is most often cited by research in Metals and Alloys (350 citations), Materials Chemistry (4.9k citations), Computational Theory and Mathematics (1.1k citations), Structural Biology (71 citations) and Mechanical Engineering (1.8k citations). Ankit Agrawal has collaborated with scholars based in United States, India and Philippines. Frequent co-authors include Alok Choudhary, Logan Ward, Wei‐keng Liao, Christopher Wolverton, Chris Wolverton, Kasthurirangan Gopalakrishnan, Siddhartha Kumar Khaitan, Dipendra Jha, Zijiang Yang and Kamal Choudhary. Their work appears in journals such as Scientific Reports, Journal of the American College of Cardiology, Integrating materials and manufacturing innovation, Microscopy and Microanalysis and npj Computational Materials.
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.