Ishika Singh
Impact in
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- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- AI-based Problem Solving and Planning
- Reinforcement Learning in Robotics
Papers in
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- Multimodal Machine Learning Applications 2
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- Co-authors
- Jesse Thomason (3 shared papers)Dieter Fox (3 shared papers)Animesh Garg (2 shared papers)Valts Blukis (2 shared papers)Arsalan Mousavian (2 shared papers)Jonathan Tremblay (2 shared papers)Ankit Goyal (2 shared papers)Danfei Xu (2 shared papers)
- Journals
- Autonomous Robots (1 paper)Journal of Biological Chemistry (1 paper)Journal of Pharmacognosy and Phytochemistry (3 papers)
- Partner nations
- United States
In The Last Decade
Ishika Singh
5 papers receiving 338 citations
Ishika Singh's Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 122
- Artificial Intelligence 169
- Control and Systems Engineering 102
- Health Informatics 5
- Industrial and Manufacturing Engineering 30
Countries citing papers authored by Ishika Singh
This map shows the geographic impact of Ishika Singh'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 Ishika Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ishika Singh more than expected).
Fields of papers citing papers by Ishika Singh
This network shows the impact of papers produced by Ishika Singh. 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 Ishika Singh. The network helps show where Ishika Singh may publish in the future.
Co-authors
The 13 scholars most cited alongside Ishika Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ProgPrompt: Generating Situated Robot Task Plans using Large Language Models Hit paper breakdown → | 2023 | 298 |
| 2 | 2023 | 40 | |
| 3 | 2024 | 12 | |
| 4 | 2025 | 2 | |
| 5 | Estimation runoff by using curve number (CN) method for Kaushambi micro-watershed, Allahabad region, Uttar Pradesh | 2020 | 1 |
| 6 | Technology for production of edible grade de-oiled cake from groundnut and its diversified use in baked products | 2018 | 0 |
| 7 | Performance evaluation of drip irrigation under high density planting of papaya | 2018 | 0 |
About Ishika Singh
Ishika Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Soil Science, Molecular Biology and Control and Systems Engineering, having authored 7 papers that have together received 353 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (2 papers), Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Irrigation Practices and Water Management (2 papers), Hydrology and Watershed Management Studies (1 paper), Soil erosion and sediment transport (1 paper), Ion Transport and Channel Regulation (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Artificial Intelligence (169 citations), Control and Systems Engineering (102 citations), Health Informatics (5 citations) and Industrial and Manufacturing Engineering (30 citations). Ishika Singh has collaborated with scholars based in United States. Frequent co-authors include Jesse Thomason, Dieter Fox, Animesh Garg, Valts Blukis, Arsalan Mousavian, Jonathan Tremblay, Ankit Goyal, Danfei Xu, Jiafei Duan and Ranjay Krishna. Their work appears in journals such as Autonomous Robots, Journal of Biological Chemistry and Journal of Pharmacognosy and Phytochemistry.
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.