Abhishek Gupta
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Alagan AnpalaganLing GuanAhmed Shaharyar KhwajaXavier FernandoWojciech T. SołowskiMohit KumarOlivia DasRob Johnson
- Topics
- UAV Applications and Optimization (7 papers)Vehicular Ad Hoc Networks (VANETs) (4 papers)Autonomous Vehicle Technology and Safety (3 papers)
- Journals
- SensorsEngineering GeologyDrones
In The Last Decade
Abhishek Gupta
20 papers receiving 475 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 199
- Automotive Engineering 107
- Aerospace Engineering 103
- Artificial Intelligence 95
- Electrical and Electronic Engineering 94
Countries citing papers authored by Abhishek Gupta
This map shows the geographic impact of Abhishek Gupta'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 Abhishek Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Gupta more than expected).
Fields of papers citing papers by Abhishek Gupta
This network shows the impact of papers produced by Abhishek Gupta. 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 Abhishek Gupta. The network helps show where Abhishek Gupta may publish in the future.
Co-authorship network of co-authors of Abhishek Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Gupta. A scholar is included among the top collaborators of Abhishek Gupta 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 Abhishek Gupta. Abhishek Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 53 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issuesbreakdown → | 324 |
| 14 | 1 | |
| 15 | 16 | |
| 16 | 7 | |
| 17 | SplinterDB: Closing the bandwidth gap for NVMe key-value stores | 13 |
| 18 | Hybrid Circuit Breaker | 2 |
| 19 | 5G : – The Future Mobile Wireless Technology by 2020 | 6 |
| 20 | Future of all technologies - The Cloud and Cyber Physical Systems | 13 |
About Abhishek Gupta
Abhishek Gupta is a scholar working on Aerospace Engineering, Computer Networks and Communications and Automotive Engineering, having authored 22 papers that have together received 498 indexed citations. Recurring topics across this work include UAV Applications and Optimization (7 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Automotive Engineering (107 citations) and Health Informatics (10 citations). Abhishek Gupta has collaborated with scholars based in Canada, Sweden and India. Frequent co-authors include Alagan Anpalagan, Ling Guan, Ahmed Shaharyar Khwaja, Xavier Fernando, Wojciech T. Sołowski, Mohit Kumar, Olivia Das, Rob Johnson, A.T. Tai and Bala Venkatesh. Their work appears in journals such as Sensors, Engineering Geology and Drones.
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.