Ayana Ghosh

1.1k total citations
45 papers, 720 citations indexed

About

Ayana Ghosh is a scholar working on Materials Chemistry, Structural Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Ayana Ghosh has authored 45 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Materials Chemistry, 12 papers in Structural Biology and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ayana Ghosh's work include Machine Learning in Materials Science (17 papers), Advanced Electron Microscopy Techniques and Applications (12 papers) and Electron and X-Ray Spectroscopy Techniques (10 papers). Ayana Ghosh is often cited by papers focused on Machine Learning in Materials Science (17 papers), Advanced Electron Microscopy Techniques and Applications (12 papers) and Electron and X-Ray Spectroscopy Techniques (10 papers). Ayana Ghosh collaborates with scholars based in United States, India and United Kingdom. Ayana Ghosh's co-authors include Sergei V. Kalinin, Maxim Ziatdinov, Serge Nakhmanson, Bobby G. Sumpter, Rama K. Vasudevan, Ondrej Dyck, Jian‐Xin Zhu, Kyle P. Kelley, Kevin M. Roccapriore and Jacob Hinkle and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Chemistry of Materials.

In The Last Decade

Ayana Ghosh

44 papers receiving 709 citations

Peers

Countries citing papers authored by Ayana Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Ayana Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayana Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Ayana Ghosh. A scholar is included among the top collaborators of Ayana Ghosh 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 Ayana Ghosh. Ayana Ghosh 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

#	Work	Indexed citations
1	Active causal learning for decoding chemical complexities with targeted interventions 2024 ·Machine Learning Science and Technology ·Zachary Fox, Ayana Ghosh	3
2	Exploring electron-beam induced modifications of materials with machine-learning assisted high temporal resolution electron microscopy 2024 ·npj Computational Materials ·Matthew G. Boebinger, Ayana Ghosh, Kevin M. Roccapriore, Sudhajit Misra, Kai Xiao, Stephen Jesse, Maxim Ziatdinov, Sergei V. Kalinin, Raymond R. Unocic	3
3	Insights into Prismatic Loop Formation in Irradiated Fe–Cr Alloys from Hypothesis-Driven Active Learning and Causal Analysis 2024 ·ACS Applied Energy Materials ·Saurabh Ghosh, (unknown), Dwaipayan Dasgupta, Ayana Ghosh, Brian D. Wirth	1
4	Direct Fabrication of Atomically Defined Pores in MXenes Using Feedback‐Driven STEM 2024 ·Small Methods ·Matthew G. Boebinger, Dündar E. Yılmaz, Ayana Ghosh, Sudhajit Misra, Tyler S. Mathis, Sergei V. Kalinin, Stephen Jesse, Yury Gogotsi, Adri C. T. van Duin, Raymond R. Unocic	4
5	Mapping causal pathways with structural modes fingerprint for perovskite oxides 2024 ·Machine Learning Science and Technology ·Ayana Ghosh, (unknown)	2
6	Integrating High-Performance Computing with Electron Microscopy for Scientific Insights 2024 ·Microscopy and Microanalysis ·Ayana Ghosh, Kevin M. Roccapriore, Matthew G. Boebinger, Debangshu Mukherjee, (unknown), Marshall McDonnell, Sergei V. Kalinin, Maxim Ziatdinov	1
7	Probe microscopy is all you need ^* 2023 ·Machine Learning Science and Technology ·Sergei V. Kalinin, Rama K. Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin M. Roccapriore, Maxim Ziatdinov	13
8	Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning 2023 ·(unknown), Martin Foltín, (unknown), Maxim Ziatdinov, (unknown), Suparna Bhattacharya, Ayana Ghosh, Kevin M. Roccapriore, Sreenivas R. Sukumar, Paolo Faraboschi	0
9	Anomalous polarization reversal in strained thin films of CuInP2S6 2023 ·Physical review. B. ·Anna N. Morozovska, Eugene А. Eliseev, Ayana Ghosh, (unknown), Yulian M. Vysochanskii, Sergei V. Kalinin	9
10	Machine learning for automated experimentation in scanning transmission electron microscopy 2023 ·npj Computational Materials ·Sergei V. Kalinin, Debangshu Mukherjee, Kevin M. Roccapriore, Ben Blaiszik, Ayana Ghosh, Maxim Ziatdinov, (unknown), (unknown), (unknown), Nageswara S. V. Rao, Joshua Agar, Steven R. Spurgeon	49
11	Bending-induced isostructural transitions in ultrathin layers of van der Waals ferrielectrics 2023 ·Acta Materialia ·Anna N. Morozovska, Eugene А. Eliseev, Yongtao Liu, Kyle P. Kelley, Ayana Ghosh, Ying Liu, (unknown), Nicholas V. Morozovsky, Andréi L. Kholkin, Yulian M. Vysochanskii, Sergei V. Kalinin	6
12	Identification of novel organic polar materials: A machine learning study with importance sampling 2023 ·SHILAP Revista de lepidopterología ·Ayana Ghosh, (unknown), (unknown), (unknown), (unknown), (unknown), Jian‐Xin Zhu, Serge Nakhmanson	4
13	Switching of Hybrid Improper Ferroelectricity in Oxide Double Perovskites 2023 ·Chemistry of Materials ·(unknown), (unknown), (unknown), Ayana Ghosh, Saurabh Ghosh	5
14	Towards physics-informed explainable machine learning and causal models for materials research 2023 ·Computational Materials Science ·Ayana Ghosh	13
15	Unsupervised machine learning discovery of structural units and transformation pathways from imaging data 2023 ·SHILAP Revista de lepidopterología ·Sergei V. Kalinin, Ondrej Dyck, Ayana Ghosh, Yongtao Liu, Bobby G. Sumpter, Maxim Ziatdinov	7
16	Stress and Curvature Effects in Layered 2D Ferroelectric CuInP₂S₆ 2023 ·ACS Nano ·Yongtao Liu, Anna N. Morozovska, Ayana Ghosh, Kyle P. Kelley, Eugene А. Eliseev, (unknown), (unknown), (unknown), Sergei V. Kalinin	17
17	Discovery of structure–property relations for molecules via hypothesis-driven active learning over the chemical space 2023 ·SHILAP Revista de lepidopterología ·Ayana Ghosh, Sergei V. Kalinin, Maxim Ziatdinov	6
18	Exploring electron beam induced atomic assembly via reinforcement learning in a molecular dynamics environment ^* 2021 ·Nanotechnology ·Rama K. Vasudevan, Ayana Ghosh, Maxim Ziatdinov, Sergei V. Kalinin	5
19	Bridging microscopy with molecular dynamics and quantum simulations: An AtomAI based pipeline 2021 ·arXiv (Cornell University) ·Ayana Ghosh, Maxim Ziatdinov, Ondrej Dyck, Bobby G. Sumpter, Sergei V. Kalinin	16
20	Electronic and Magnetic Properties of Lanthanum and Strontium Doped Bismuth Ferrite: A First-Principles Study 2019 ·Scientific Reports ·Ayana Ghosh, (unknown), Hongchul Choi, Serge Nakhmanson, S. P. Alpay, Jian‐Xin Zhu	55

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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