Akshay Iyer

849 total citations
21 papers, 577 citations indexed

About

Akshay Iyer is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Akshay Iyer has authored 21 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 7 papers in Computational Theory and Mathematics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Akshay Iyer's work include Machine Learning in Materials Science (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Organic Electronics and Photovoltaics (5 papers). Akshay Iyer is often cited by papers focused on Machine Learning in Materials Science (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Organic Electronics and Photovoltaics (5 papers). Akshay Iyer collaborates with scholars based in United States, China and Japan. Akshay Iyer's co-authors include Wei Chen, Xinran Zhao, Shi‐Chune Yao, Patcharapit Promoppatum, Jinbo Bi, Guang Chen, Zhiqiang Shen, Shan Tang, Ying Li and Linda S. Schadler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Physics D Applied Physics.

In The Last Decade

Akshay Iyer

20 papers receiving 563 citations

Peers

Countries citing papers authored by Akshay Iyer

Since Specialization

Citations

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

Fields of papers citing papers by Akshay Iyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Iyer

This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Iyer. A scholar is included among the top collaborators of Akshay Iyer 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 Akshay Iyer. Akshay Iyer 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	Fully Bayesian Inference for Latent Variable Gaussian Process Models 2023 ·SIAM/ASA Journal on Uncertainty Quantification ·(unknown), Akshay Iyer, Wei Chen, Daniel W. Apley	3
2	Uncertainty-aware mixed-variable machine learning for materials design 2022 ·Scientific Reports ·Hengrui Zhang, Wei Chen, Akshay Iyer, Daniel W. Apley	13
3	Descriptor Aided Bayesian Optimization for Many-Level Qualitative Variables With Materials Design Applications 2022 ·Journal of Mechanical Design ·Akshay Iyer, (unknown), James M. Rondinelli, Daniel W. Apley, Wei Chen	9
4	Data Centric Design: A New Approach to Design of Microstructural Material Systems 2022 ·Engineering ·Wei Chen, Akshay Iyer, Ramin Bostanabad	31
5	(Invited) Combining Machine Learning, DFT, EFM, and Modeling to Design Nanodielectric Behavior 2022 ·ECS Transactions ·Linda S. Schadler, Wei Chen, L. Catherine Brinson, (unknown), (unknown), Akshay Iyer	2
6	Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors 2021 ·Journal of Mechanical Design ·Liwei Wang, (unknown), Akshay Iyer, Daniel W. Apley, Ping Zhu, Wei Chen	19
7	Data centric nanocomposites design via mixed-variable Bayesian optimization 2020 ·Molecular Systems Design & Engineering ·Akshay Iyer, Yichi Zhang, Aditya Prasad, (unknown), Siyu Tao, Yixing Wang, (unknown), Linda S. Schadler, L. Catherine Brinson, Wei Chen	23
8	Featureless adaptive optimization accelerates functional electronic materials design 2020 ·Applied Physics Reviews ·Yiqun Wang, Akshay Iyer, Wei Chen, James M. Rondinelli	33
9	A perspective on the data-driven design of polymer nanodielectrics 2020 ·Journal of Physics D Applied Physics ·Linda S. Schadler, (unknown), L. Catherine Brinson, Ravishankar Sundararaman, P. K. Gupta, (unknown), Akshay Iyer, (unknown), (unknown)	17
10	Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges 2020 ·Polymers ·Guang Chen, Zhiqiang Shen, Akshay Iyer, (unknown), Shan Tang, Jinbo Bi, Wei Chen, Ying Li	134
11	Designing anisotropic microstructures with spectral density function 2020 ·Computational Materials Science ·Akshay Iyer, (unknown), (unknown), (unknown), TeYu Chien, Ganesh Balasubramanian, Wei Chen	26
12	Investigating the effect of surface modification on the dispersion process of polymer nanocomposites 2020 ·SHILAP Revista de lepidopterología ·Aditya Prasad, Yixing Wang, Xiaolin Li, Akshay Iyer, Wei Chen, L. Catherine Brinson, Linda S. Schadler	19
13	Mining structure–property relationships in polymer nanocomposites using data driven finite element analysis and multi-task convolutional neural networks 2020 ·Molecular Systems Design & Engineering ·Yixing Wang, (unknown), (unknown), Akshay Iyer, Aditya Prasad, Xiaolin Li, Yichi Zhang, Linda S. Schadler, Wei Chen, L. Catherine Brinson	40
14	Effect of polydispersity on the bulk‐heterojunction morphology of P3HT:PCBM solar cells 2019 ·Journal of Polymer Science Part B Polymer Physics ·(unknown), (unknown), Akshay Iyer, (unknown), Wei Chen, TeYu Chien, Ganesh Balasubramanian	18
15	Data-Centric Mixed-Variable Bayesian Optimization for Materials Design 2019 ·Akshay Iyer, Yichi Zhang, Aditya Prasad, Siyu Tao, Yixing Wang, Linda S. Schadler, L. Catherine Brinson, Wei Chen	18
16	Composition and processing dependent miscibility of P3HT and PCBM in organic solar cells by coarse-grained molecular simulations 2018 ·Computational Materials Science ·(unknown), (unknown), Akshay Iyer, (unknown), Wei Chen, TeYu Chien, Ganesh Balasubramanian	21
17	A Spectral Density Function Approach for Active Layer Design of Organic Photovoltaic Cells 2018 ·Journal of Mechanical Design ·(unknown), Akshay Iyer, (unknown), (unknown), (unknown), TeYu Chien, Ganesh Balasubramanian, Wei Chen	25
18	Numerical modeling of the thermal behavior and residual stress in the direct metal laser sintering process of titanium alloy products 2017 ·Additive manufacturing ·Xinran Zhao, Akshay Iyer, Patcharapit Promoppatum, Shi‐Chune Yao	112
19	Voice and Video over Wireless LAN 2013 ·Akshay Iyer, (unknown), (unknown), (unknown)	1
20	Anatomical Location of the Bifurcation of the Sciatic Nerve in the Posterior Thigh in Infants and Children: A Formula Derived From MRI Imaging for Nerve Localization 2007 ·Regional Anesthesia & Pain Medicine ·Santhanam Suresh, (unknown), (unknown), (unknown), (unknown), Akshay Iyer	7

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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