Ayush Shrivastava
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Dilek Hakkani-TürGökhan TürRajeev SrivastavaVibhav Prakash SinghRobinson PiramuthuJesse ThomasonSpandana GellaPatrick Lange
- Topics
- Advanced Image and Video Retrieval Techniques (4 papers)Multimodal Machine Learning Applications (4 papers)Topic Modeling (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Indian Journal of PediatricsarXiv (Cornell University)
- Partner nations
- United StatesIndia
In The Last Decade
Ayush Shrivastava
11 papers receiving 147 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 97
- Computer Vision and Pattern Recognition 84
- Radiology, Nuclear Medicine and Imaging 20
- Aerospace Engineering 15
- Control and Systems Engineering 9
Countries citing papers authored by Ayush Shrivastava
This map shows the geographic impact of Ayush Shrivastava'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 Ayush Shrivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Shrivastava more than expected).
Fields of papers citing papers by Ayush Shrivastava
This network shows the impact of papers produced by Ayush Shrivastava. 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 Ayush Shrivastava. The network helps show where Ayush Shrivastava may publish in the future.
Co-authorship network of co-authors of Ayush Shrivastava
This figure shows the co-authorship network connecting the top 25 collaborators of Ayush Shrivastava. A scholar is included among the top collaborators of Ayush Shrivastava 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 Ayush Shrivastava. Ayush Shrivastava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 19 | |
| 3 | 6 | |
| 4 | 59 | |
| 5 | 3 | |
| 6 | Chasing Ghosts: Instruction Following as Bayesian State Tracking | 10 |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 8 |
About Ayush Shrivastava
Ayush Shrivastava is a scholar working on Space and Planetary Science, Health Informatics and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 158 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (84 citations), Artificial Intelligence (97 citations) and Health Informatics (3 citations). Ayush Shrivastava has collaborated with scholars based in United States and India. Frequent co-authors include Dilek Hakkani-Tür, Gökhan Tür, Rajeev Srivastava, Vibhav Prakash Singh, Robinson Piramuthu, Jesse Thomason, Spandana Gella, Patrick Lange, Andrew Owens and Chenhao Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, The Indian Journal of Pediatrics and arXiv (Cornell University).
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.