Ajay Panyala

427 total citations
27 papers, 203 citations indexed

About

Ajay Panyala is a scholar working on Computer Networks and Communications, Hardware and Architecture and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ajay Panyala has authored 27 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 9 papers in Hardware and Architecture and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ajay Panyala's work include Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (7 papers) and Advanced NMR Techniques and Applications (5 papers). Ajay Panyala is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (7 papers) and Advanced NMR Techniques and Applications (5 papers). Ajay Panyala collaborates with scholars based in United States, Switzerland and South Korea. Ajay Panyala's co-authors include Sriram Krishnamoorthy, Karol Kowalski, Nicholas P. Bauman, Bo Peng, Jinsung Kim, P. Sadayappan, Daniel Chavarría-Miranda, Aravind Sukumaran-Rajam, Niranjan Govind and Daniel Mejı́a-Rodrı́guez and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Chemistry and Journal of Chemical Theory and Computation.

In The Last Decade

Ajay Panyala

26 papers receiving 199 citations

Peers

Ajay Panyala
Mathias Jacquelin United States
Sandhya Krishnan United States
Andreas M. Heinecke United States
Chi‐Chung Lam United States
M. Graham Lopez United States
Manojkumar Krishnan United States
Mathias Jacquelin United States
Ajay Panyala
Citations per year, relative to Ajay Panyala Ajay Panyala (= 1×) peers Mathias Jacquelin

Countries citing papers authored by Ajay Panyala

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Panyala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Panyala

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

All Works

20 of 20 papers shown
2.
Waldrop, Jonathan M., Ajay Panyala, Daniel Mejı́a-Rodrı́guez, Theresa L. Windus, & Niranjan Govind. (2025). Projector‐Based Quantum Embedding Study of Iron Complexes. Journal of Computational Chemistry. 46(3). e70043–e70043. 1 indexed citations
3.
Mejı́a-Rodrı́guez, Daniel, et al.. (2024). Cavity Quantum Electrodynamics Complete Active Space Configuration Interaction Theory. Journal of Chemical Theory and Computation. 20(3). 1214–1227. 26 indexed citations
4.
5.
Peng, Bo, Himadri Pathak, Ajay Panyala, et al.. (2024). Exploring the exact limits of the real-time equation-of-motion coupled cluster cumulant Green’s functions. The Journal of Chemical Physics. 161(20). 1 indexed citations
6.
Richard, Ryan M., Kristopher Keipert, Jonathan M. Waldrop, et al.. (2023). PluginPlay: Enabling exascale scientific software one module at a time. The Journal of Chemical Physics. 158(18). 4 indexed citations
7.
Panyala, Ajay, Nitin Gawande, Jinsung Kim, et al.. (2023). TAMM: Tensor algebra for many-body methods. The Journal of Chemical Physics. 159(2). 9 indexed citations
8.
Mejı́a-Rodrı́guez, Daniel, Edoardo Aprà, Jochen Autschbach, et al.. (2023). NWChem: Recent and Ongoing Developments. Journal of Chemical Theory and Computation. 19(20). 7077–7096. 19 indexed citations
9.
Unsleber, Jan P., Hongbin Liu, Leopold Talirz, et al.. (2023). High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation. The Journal of Chemical Physics. 158(8). 84803–84803. 13 indexed citations
10.
Pathak, Himadri, Ajay Panyala, Bo Peng, et al.. (2023). Real-Time Equation-of-Motion Coupled-Cluster Cumulant Green’s Function Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for Many-Body Methods Infrastructure. Journal of Chemical Theory and Computation. 19(8). 2248–2257. 12 indexed citations
11.
Vila, Fernando D., J. J. Rehr, Himadri Pathak, et al.. (2022). Real-time equation-of-motion CC cumulant and CC Green’s function simulations of photoemission spectra of water and water dimer. The Journal of Chemical Physics. 157(4). 44101–44101. 1 indexed citations
12.
Vila, Fernando D., J. J. Rehr, Himadri Pathak, et al.. (2022). Real-time equation-of-motion CC cumulant and CC Green's function simulations of photoemission spectra of water and water dimer. arXiv (Cornell University). 6 indexed citations
13.
14.
Kim, Jinsung, Aravind Sukumaran-Rajam, Sriram Krishnamoorthy, et al.. (2019). A code generator for high-performance tensor contractions on GPUs. 85–95. 13 indexed citations
15.
Kim, Jinsung, Aravind Sukumaran-Rajam, Sriram Krishnamoorthy, et al.. (2019). A Code Generator for High-Performance Tensor Contractions on GPUs. 85–95. 21 indexed citations
16.
Kim, Jinsung, Aravind Sukumaran-Rajam, Changwan Hong, et al.. (2018). Optimizing Tensor Contractions in CCSD(T) for Efficient Execution on GPUs. 96–106. 12 indexed citations
17.
Sukumaran-Rajam, Aravind, Jinsung Kim, Changwan Hong, et al.. (2018). TTLG - An Efficient Tensor Transposition Library for GPUs. 578–588. 2 indexed citations
18.
Panyala, Ajay, et al.. (2017). Approximate Computing Techniques for Iterative Graph Algorithms. 23–32. 6 indexed citations
19.
Chavarría-Miranda, Daniel, et al.. (2015). Optimizing irregular applications for energy and performance on the Tilera many-core architecture. 1–8. 4 indexed citations
20.
Chavarría-Miranda, Daniel, et al.. (2015). Global transformations for legacy parallel applications via structural analysis and rewriting. Parallel Computing. 43. 1–26. 5 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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