Himanshu Pant
Impact in
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- Machine Learning and ELM
- Speech Recognition and Synthesis
- Imbalanced Data Classification Techniques
Papers in
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- Machine Learning and ELM 4
- Imbalanced Data Classification Techniques 4
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- COVID-19 diagnosis using AI 5
- Co-authors
- Janmejay Pant (14 shared papers)R. P. Pant (2 shared papers)Devesh Pratap Singh (1 shared paper)Manoj Kumar Singh (1 shared paper)Jayadeva (8 shared papers)Mayank Sharma (6 shared papers)Sumit Soman (7 shared papers)Sachin Taran (1 shared paper)
- Journals
- Neurocomputing (2 papers)Measurement (1 paper)Neural Processing Letters (1 paper)Neural Networks (1 paper)Anaesthesia and Intensive Care (1 paper)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Himanshu Pant
35 papers receiving 254 citations
Peers
Comparison fields: 5 of 94
- Drug Discovery 1
- Artificial Intelligence 78
- Software 7
- Plant Science 65
- Signal Processing 16
Countries citing papers authored by Himanshu Pant
This map shows the geographic impact of Himanshu Pant'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 Himanshu Pant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Himanshu Pant more than expected).
Fields of papers citing papers by Himanshu Pant
This network shows the impact of papers produced by Himanshu Pant. 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 Himanshu Pant. The network helps show where Himanshu Pant may publish in the future.
Co-authors
The 25 scholars most cited alongside Himanshu Pant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2019 | 22 | |
| 3 | 2007 | 20 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 15 | |
| 6 | 2010 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2017 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2002 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2008 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 1977 | 3 |
About Himanshu Pant
Himanshu Pant is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Plant Science, having authored 45 papers that have together received 274 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), COVID-19 diagnosis using AI (5 papers), Face and Expression Recognition (5 papers), Machine Learning and ELM (4 papers), Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Artificial Intelligence (78 citations), Software (7 citations), Plant Science (65 citations) and Signal Processing (16 citations). Himanshu Pant has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Janmejay Pant, R. P. Pant, Devesh Pratap Singh, Manoj Kumar Singh, Jayadeva, Mayank Sharma, Sumit Soman, Sachin Taran, Ashutosh Kumar Bhatt and P.H. Lambert. Their work appears in journals such as Neurocomputing, Measurement, Neural Processing Letters, Neural Networks and Anaesthesia and Intensive Care.
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.