Vijay Gadepally

2.7k total citations
53 papers, 670 citations indexed

About

Vijay Gadepally is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vijay Gadepally has authored 53 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 19 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vijay Gadepally's work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (8 papers) and Advanced Database Systems and Queries (7 papers). Vijay Gadepally is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (8 papers) and Advanced Database Systems and Queries (7 papers). Vijay Gadepally collaborates with scholars based in United States, Mexico and United Kingdom. Vijay Gadepally's co-authors include Ashok Krishnamurthy, Ümi̇t Özgüner, Devesh Tiwari, Baolin Li, Emily Shen, Arkady Yerukhimovich, Nathan C. Frey, Jeremy Kepner, Michael Stonebraker and Siddharth Samsi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Proceedings of the VLDB Endowment.

In The Last Decade

Vijay Gadepally

49 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vijay Gadepally United States 13 251 221 178 101 95 53 670
Yuxin Mao China 14 157 0.6× 181 0.8× 111 0.6× 140 1.4× 43 0.5× 66 554
Osbert Bastani United States 16 329 1.3× 85 0.4× 183 1.0× 66 0.7× 41 0.4× 48 668
Deheng Ye China 15 544 2.2× 115 0.5× 364 2.0× 85 0.8× 19 0.2× 29 885
Abid Mehmood United Arab Emirates 13 331 1.3× 173 0.8× 223 1.3× 219 2.2× 16 0.2× 32 773
Xiaoyuan Xie China 19 353 1.4× 377 1.7× 814 4.6× 80 0.8× 18 0.2× 69 1.5k
George K. Thiruvathukal United States 13 150 0.6× 210 1.0× 125 0.7× 110 1.1× 11 0.1× 109 582
Zhaobin Liu China 15 153 0.6× 262 1.2× 267 1.5× 64 0.6× 28 0.3× 75 675

Countries citing papers authored by Vijay Gadepally

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Gadepally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Gadepally

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Gadepally. A scholar is included among the top collaborators of Vijay Gadepally 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 Vijay Gadepally. Vijay Gadepally 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
1.
Roy, Rohan Basu, Tirthak Patel, Baolin Li, et al.. (2025). GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores. 475–489.
2.
Li, Baolin, et al.. (2024). LLM Inference Serving: Survey of Recent Advances and Opportunities. 1–8. 9 indexed citations
3.
Bergeron, Bill, Matthew Hubbell, Albert Reuther, et al.. (2024). Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. 1–8.
4.
Li, Baolin, et al.. (2024). Sprout: Green Generative AI with Carbon-Efficient LLM Inference. 21799–21813. 3 indexed citations
5.
Frey, Nathan C., Ryan Soklaski, Simon Axelrod, et al.. (2023). Neural scaling of deep chemical models. Nature Machine Intelligence. 5(11). 1297–1305. 54 indexed citations
6.
Byun, Chansup, William Arcand, David Bestor, et al.. (2023). pPython Performance Study. 1–7.
7.
McDonald, J.C., Baolin Li, Nathan C. Frey, et al.. (2022). Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. 1962–1970. 31 indexed citations
8.
Frey, Nathan C., Simon Axelrod, Michael Jones, et al.. (2022). Energy-aware neural architecture selection and hyperparameter optimization. 732–741. 1 indexed citations
9.
Frey, Nathan C., Baolin Li, Michael Jones, et al.. (2022). Benchmarking Resource Usage for Efficient Distributed Deep Learning. 1–8. 7 indexed citations
10.
11.
Gadepally, Vijay, Timothy G. Mattson, Michael Stonebraker, et al.. (2021). Heterogeneous Data Management, Polystores, and Analytics for Healthcare. Lecture notes in computer science. 5 indexed citations
12.
Davis, Tim D., et al.. (2019). RedisGraph GraphBLAS Enabled Graph Database. arXiv (Cornell University). 285–286. 9 indexed citations
13.
Gadepally, Vijay, Jeremy Kepner, Lauren Milechin, et al.. (2018). Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. 1–6. 4 indexed citations
14.
Mattson, Tim, et al.. (2017). Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis.. Conference on Innovative Data Systems Research. 7 indexed citations
15.
Chirkova, Rada, et al.. (2017). Enabling query processing across heterogeneous data models: A survey. 3211–3220. 26 indexed citations
16.
Moyer, Thomas & Vijay Gadepally. (2016). High-throughput ingest of data provenance records into Accumulo. 1–6. 6 indexed citations
17.
Johnson, Luke B., et al.. (2015). Sampling large graphs for anticipatory analytics. 1–6. 3 indexed citations
18.
Gadepally, Vijay. (2013). Estimation of Driver Behavior for Autonomous Vehicle Applications. OhioLink ETD Center (Ohio Library and Information Network). 6 indexed citations
19.
Gadepally, Vijay, Arda Kurt, Ashok Krishnamurthy, & Ümi̇t Özgüner. (2011). Driver/vehicle state estimation and detection. 582–587. 18 indexed citations
20.
Hudak, David E., et al.. (2007). Developing a Computational Science IDE for HPC Systems. 2. 5–5. 8 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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