Alok Choudhary

23.2k total citations · 7 hit papers
486 papers, 14.8k citations indexed

About

Alok Choudhary is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Alok Choudhary has authored 486 papers receiving a total of 14.8k indexed citations (citations by other indexed papers that have themselves been cited), including 240 papers in Computer Networks and Communications, 198 papers in Hardware and Architecture and 119 papers in Artificial Intelligence. Recurrent topics in Alok Choudhary's work include Parallel Computing and Optimization Techniques (178 papers), Advanced Data Storage Technologies (158 papers) and Distributed and Parallel Computing Systems (106 papers). Alok Choudhary is often cited by papers focused on Parallel Computing and Optimization Techniques (178 papers), Advanced Data Storage Technologies (158 papers) and Distributed and Parallel Computing Systems (106 papers). Alok Choudhary collaborates with scholars based in United States, China and Philippines. Alok Choudhary's co-authors include Ankit Agrawal, Wei‐keng Liao, Logan Ward, Christopher Wolverton, Mahmut Kandemir, Gokhan Memik, Kasthurirangan Gopalakrishnan, Siddhartha Kumar Khaitan, Rajeev Thakur and Chris Wolverton and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Alok Choudhary

458 papers receiving 14.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A general-purpose machine learning framework for predicting properties of inorganic materials

2016 1.2k citations Ankit Agrawal, Alok Choudhary et al. npj Computational Materials profile →
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science

2016 908 citations Ankit Agrawal, Alok Choudhary profile →
Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection

2017 747 citations Kasthurirangan Gopalakrishnan, Alok Choudhary et al. profile →
Recent advances and applications of deep learning methods in materials science

2022 652 citations Kamal Choudhary, Brian DeCost et al. npj Computational Materials profile →
Combinatorial screening for new materials in unconstrained composition space with machine learning

2014 549 citations Ankit Agrawal, Alok Choudhary et al. profile →
Terascale direct numerical simulations of turbulent combustion using S3D

2009 458 citations Alok Choudhary, Wei‐keng Liao et al. profile →
Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

2018 269 citations Wei‐keng Liao, Alok Choudhary et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alok Choudhary United States	51	4.3k	4.0k	3.2k	2.4k	1.9k	486	14.8k
Ananth Grama United States	38	1.9k 0.4×	1.7k 0.4×	666 0.2×	1.2k 0.5×	1.2k 0.6×	190	8.2k
Vipin Kumar United States	40	680 0.2×	4.1k 1.0×	3.0k 1.0×	2.2k 0.9×	3.7k 1.9×	137	12.3k
Shuai Liu China	79	1.6k 0.4×	9.1k 2.3×	244 0.1×	2.2k 0.9×	4.2k 2.2×	1.2k	27.8k
James E. Smith United States	61	290 0.1×	7.1k 1.8×	8.0k 2.5×	4.0k 1.7×	3.3k 1.7×	479	17.4k
Asok Ray United States	43	1.9k 0.4×	1.6k 0.4×	330 0.1×	1.5k 0.6×	904 0.5×	678	10.0k
E. Dijkstra Switzerland	19	291 0.1×	4.6k 1.1×	1.4k 0.4×	2.8k 1.2×	2.8k 1.4×	65	18.8k
Michael Pecht United States	91	1.8k 0.4×	995 0.2×	936 0.3×	1.8k 0.8×	21.6k 11.1×	1.0k	39.5k
Wei‐keng Liao United States	31	1.1k 0.3×	1.4k 0.3×	821 0.3×	782 0.3×	282 0.1×	199	4.5k
Yu Wang China	55	831 0.2×	1.9k 0.5×	1.7k 0.5×	1.9k 0.8×	6.5k 3.3×	664	11.9k
George Cybenko United States	30	269 0.1×	2.3k 0.6×	450 0.1×	5.3k 2.3×	1.4k 0.7×	151	12.9k

Countries citing papers authored by Alok Choudhary

Since Specialization

Citations

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

Fields of papers citing papers by Alok Choudhary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alok Choudhary

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

Li, Y., Robert Latham, Robert Ross, et al.. (2025). Parallel Data Object Creation: Scalable Metadata Management in Parallel I/O Library. 1385–1395.

Aaryashree, Aaryashree, et al.. (2025). Non-invasive detection of arsenic-induced changes in lentil seed activity using biospeckle optical coherence tomography. Optics Continuum. 4(5). 968–968. 1 indexed citations

Choudhary, Alok, et al.. (2025). Exploring microplastic pollution from origin to environmental impact and remediation approaches. Discover Environment. 3(1).

Keshavarz, Shahriyar, Youjia Li, Andrew Reid, et al.. (2024). A deep learning-based crystal plasticity finite element model. Scripta Materialia. 254. 116315–116315. 5 indexed citations

Gupta, Vishu, Kamal Choudhary, Brian DeCost, et al.. (2024). Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets. npj Computational Materials. 10(1). 44 indexed citations

Wang, Kewei, Mahmudul Hasan, Vishu Gupta, et al.. (2024). Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing. 236–241. 1 indexed citations

Day, Alexandra, Carolin B. Wahl, Roberto dos Reis, et al.. (2024). Rapid Image Segmentation Pipeline to Support Multimodal STEM Acquisition. Microscopy and Microanalysis. 30(Supplement_1).

Gupta, Vishu, Wei‐keng Liao, Alok Choudhary, & Ankit Agrawal. (2023). Evolution of artificial intelligence for application in contemporary materials science. MRS Communications. 13(5). 754–763. 12 indexed citations

Gopalakrishnan, Kasthurirangan, et al.. (2018). CRACK DAMAGE DETECTION IN UNMANNED AERIAL VEHICLE IMAGES OF CIVIL INFRASTRUCTURE USING PRE-TRAINED DEEP LEARNING MODEL. International Journal for Traffic and Transport Engineering. 8(1). 1–14. 89 indexed citations

10.

Lee, Kathy, Ankit Agrawal, & Alok Choudhary. (2013). Real-time digital flu surveillance using twitter data. 4 indexed citations

11.

Narayanan, Ramanathan, et al.. (2010). Voice of the customers: mining online customer reviews for product feature-based ranking. 11–11. 94 indexed citations

12.

Das, Abhishek, Gokhan Memik, Joseph Zambreno, & Alok Choudhary. (2010). Detecting/preventing information leakage on the memory bus due to malicious hardware. Design, Automation, and Test in Europe. 861–866. 16 indexed citations

13.

Zambreno, Joseph, et al.. (2006). Performance Characterization of Data Mining Applications using MineBench. 23(7). 14 indexed citations

14.

Choudhary, Alok, et al.. (2005). Design and optimization of architectures for data intensive computing. Circulation Cardiovascular Quality and Outcomes. 15(10). 226–226. 1 indexed citations

15.

Choudhary, Alok & Sanjay Goil. (1999). High-performance on-line analytical processing and data mining on parallel computers. Orphanet Journal of Rare Diseases. 15(1). 253–253. 12 indexed citations

16.

Kandemir, Mahmut, J. Ramanujam, & Alok Choudhary. (1997). Compiler algorithms for optimizing locality and parallelism on shared and distributed memory machines. International Conference on Parallel Architectures and Compilation Techniques. 236–245. 4 indexed citations

17.

Kandemir, Mahmut, Alok Choudhary, J. Ramanujam, & Rajesh Bordawekar. (1997). Optimizing Out-of-Core Computations in Uniprocessors. 1 indexed citations

18.

Kandemir, Mahmut, P. Banerjee, Alok Choudhary, J. Ramanujam, & Niraj Shenoy. (1997). Optimizing Communication Using Global Dataflow Analysis. 1 indexed citations

19.

Kandemir, Mahmut, et al.. (1997). Unified compiler algorithm for optimizing locality, parallelism and communication in out-of-core computations. 79–92. 1 indexed citations

20.

Choudhary, Alok & J.H. Patel. (1988). A Parallel Processing Architecture for an Integrated Vision System.. Proceedings of the International Conference on Parallel Processing. 383–387. 6 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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