Pulkit Verma
Impact in
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- Speech and Audio Processing
- Music and Audio Processing
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- Speech Recognition and Synthesis
- Reinforcement Learning in Robotics
- AI-based Problem Solving and Planning
- Natural Language Processing Techniques
- Topic Modeling
Papers in
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- AI-based Problem Solving and Planning 3
- Logic, Reasoning, and Knowledge 2
- Speech Recognition and Synthesis 2
- Reinforcement Learning in Robotics 2
- Topic Modeling 2
- Explainable Artificial Intelligence (XAI) 2
- Data Stream Mining Techniques 1
- Co-authors
- Pradip K. Das (3 shared papers)Siddharth Srivastava (5 shared papers)Sourav Banerjee (1 shared paper)Mayank Gupta (2 shared papers)Siddharth G. Chatterjee (1 shared paper)Neeraj Kumar (1 shared paper)Kamalakar Karlapalem (1 shared paper)
- Journals
- International Journal of Speech Technology (1 paper)arXiv (Cornell University) (2 papers)International Journal of Health Sciences and Research (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Pulkit Verma
11 papers receiving 63 citations
Peers
Comparison fields: 5 of 31
- Signal Processing 24
- Artificial Intelligence 44
- Health Informatics 1
- Computer Vision and Pattern Recognition 8
- Radiological and Ultrasound Technology 2
Countries citing papers authored by Pulkit Verma
This map shows the geographic impact of Pulkit Verma'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 Pulkit Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pulkit Verma more than expected).
Fields of papers citing papers by Pulkit Verma
This network shows the impact of papers produced by Pulkit Verma. 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 Pulkit Verma. The network helps show where Pulkit Verma may publish in the future.
Co-authors
The 7 scholars most cited alongside Pulkit Verma, 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 | 2015 | 33 | |
| 2 | 2024 | 8 | |
| 3 | 2021 | 8 | |
| 4 | 2019 | 4 | |
| 5 | 2014 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2015 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2016 | 1 | |
| 11 | 2019 | 1 | |
| 12 | Learning Generalized Models by Interrogating Black-Box Autonomous Agents | 2019 | 0 |
About Pulkit Verma
Pulkit Verma is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and General Health Professions, having authored 12 papers that have together received 67 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (3 papers), Logic, Reasoning, and Knowledge (2 papers), Speech Recognition and Synthesis (2 papers), Reinforcement Learning in Robotics (2 papers), Topic Modeling (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Data Stream Mining Techniques (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Signal Processing (24 citations), Artificial Intelligence (44 citations), Health Informatics (1 citation), Computer Vision and Pattern Recognition (8 citations) and Radiological and Ultrasound Technology (2 citations). Pulkit Verma has collaborated with scholars based in India and United States. Frequent co-authors include Pradip K. Das, Siddharth Srivastava, Sourav Banerjee, Mayank Gupta, Siddharth G. Chatterjee, Neeraj Kumar and Kamalakar Karlapalem. Their work appears in journals such as International Journal of Speech Technology, arXiv (Cornell University), International Journal of Health Sciences and Research and Proceedings of the AAAI Conference on Artificial Intelligence.
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.