Vijay Gadepally
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Co-authors
- Ashok KrishnamurthyÜmi̇t ÖzgünerDevesh TiwariBaolin LiArkady YerukhimovichEmily ShenNathan C. FreyMichael Stonebraker
- Topics
- Distributed and Parallel Computing Systems (10 papers)Advanced Data Storage Technologies (8 papers)Advanced Database Systems and Queries (7 papers)
- Journals
- IEEE AccessIEEE Transactions on Intelligent Transportation SystemsProceedings of the VLDB Endowment
- Partner nations
- United StatesMexicoUnited Kingdom
In The Last Decade
Vijay Gadepally
49 papers receiving 633 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 251
- Computer Networks and Communications 221
- Information Systems 178
- Computer Vision and Pattern Recognition 101
- Automotive Engineering 95
Countries citing papers authored by Vijay Gadepally
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 54 | |
| 6 | 0 | |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis. | 7 |
| 16 | 26 | |
| 17 | 3 | |
| 18 | Estimation of Driver Behavior for Autonomous Vehicle Applications | 6 |
| 19 | 18 | |
| 20 | 8 |
About Vijay Gadepally
Vijay Gadepally is a scholar working on Information Systems and Management, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 670 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (8 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Computer Networks and Communications (221 citations), Information Systems and Management (55 citations) and Information Systems (178 citations). Vijay Gadepally has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Ashok Krishnamurthy, Ümi̇t Özgüner, Devesh Tiwari, Baolin Li, Arkady Yerukhimovich, Emily Shen, Nathan C. Frey, Michael Stonebraker, Jeremy Kepner and Siddharth Samsi. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Proceedings of the VLDB Endowment.
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.