Aditya Prakash
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Aerospace Engineering
- Strategy and Management
- Co-authors
- Kashyap ChittaZehao YuAndreas GeigerBernhard JaegerArpit AgarwalAnkit AgarwalAbhishek GuptaNamrata Gupta
- Topics
- Quality and Supply Management (2 papers)Air Quality and Health Impacts (1 paper)Mathematics, Computing, and Information Processing (1 paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceMaterials Today ProceedingsIndian Journal of Anaesthesia
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Aditya Prakash
11 papers receiving 241 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 97
- Automotive Engineering 90
- Artificial Intelligence 70
- Aerospace Engineering 33
- Strategy and Management 26
Countries citing papers authored by Aditya Prakash
This map shows the geographic impact of Aditya Prakash'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 Aditya Prakash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Prakash more than expected).
Fields of papers citing papers by Aditya Prakash
This network shows the impact of papers produced by Aditya Prakash. 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 Aditya Prakash. The network helps show where Aditya Prakash may publish in the future.
Co-authorship network of co-authors of Aditya Prakash
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Prakash. A scholar is included among the top collaborators of Aditya Prakash 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 Aditya Prakash. Aditya Prakash 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 | 2 | |
| 3 | TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Drivingbreakdown → | 189 |
| 4 | 1 | |
| 5 | 33 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | A Document Retrieval System for Math Queries. | 15 |
| 9 | The role of government expenditures in affecting fiscal deficit in India: an empirical analysis | 1 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | A study on the impact of traffic pollution on the health of roadside vendors in Hyderabad city Andhra Pradesh India | 1 |
| 13 | Human settlements: A self-sustaining approach | 1 |
About Aditya Prakash
Aditya Prakash is a scholar working on Management Information Systems, Automotive Engineering and Biochemistry, having authored 13 papers that have together received 255 indexed citations. Recurring topics across this work include Quality and Supply Management (2 papers), Air Quality and Health Impacts (1 paper) and Mathematics, Computing, and Information Processing (1 paper). The work is most often cited by research in Automotive Engineering (90 citations), Computer Vision and Pattern Recognition (97 citations) and Artificial Intelligence (70 citations). Aditya Prakash has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Kashyap Chitta, Zehao Yu, Andreas Geiger, Bernhard Jaeger, Arpit Agarwal, Ankit Agarwal, Abhishek Gupta, Namrata Gupta, Nitika Gupta and Akash Garg. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Materials Today Proceedings and Indian Journal of Anaesthesia.
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.