Nishant Shukla
- Biomedical Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Molecular Biology
- Co-authors
- Song‐Chun ZhuJames P. LandersCaiming XiongWenlong XiongJingyi LiGazi A. AhmedShannon T. KraussJoyce Chai
- Topics
- Microwave Engineering and Waveguides (5 papers)Gas Sensing Nanomaterials and Sensors (4 papers)Robot Manipulation and Learning (4 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Nishant Shukla
30 papers receiving 252 citations
Peers
Comparison fields: 5 of 94
- Biomedical Engineering 87
- Artificial Intelligence 62
- Electrical and Electronic Engineering 59
- Computer Vision and Pattern Recognition 41
- Molecular Biology 32
Countries citing papers authored by Nishant Shukla
This map shows the geographic impact of Nishant Shukla'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 Nishant Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant Shukla more than expected).
Fields of papers citing papers by Nishant Shukla
This network shows the impact of papers produced by Nishant Shukla. 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 Nishant Shukla. The network helps show where Nishant Shukla may publish in the future.
Co-authorship network of co-authors of Nishant Shukla
This figure shows the co-authorship network connecting the top 25 collaborators of Nishant Shukla. A scholar is included among the top collaborators of Nishant Shukla 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 Nishant Shukla. Nishant Shukla 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | Utility Learning, Non-Markovian Planning, and Task-Oriented Programming Language | 1 |
| 17 | Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics | 5 |
| 18 | 19 | |
| 19 | A Unified Framework for Human-Robot Knowledge Transfer. | 3 |
| 20 | 20 |
About Nishant Shukla
Nishant Shukla is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Environmental Chemistry, having authored 33 papers that have together received 266 indexed citations. Recurring topics across this work include Microwave Engineering and Waveguides (5 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (41 citations), Biomedical Engineering (87 citations) and Artificial Intelligence (62 citations). Nishant Shukla has collaborated with scholars based in India and United States. Frequent co-authors include Song‐Chun Zhu, James P. Landers, Caiming Xiong, Wenlong Xiong, Jingyi Li, Gazi A. Ahmed, Shannon T. Krauss, Joyce Chai, Changsong Liu and Ankur Gogoi. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Journal of Materials Science.
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.