Harmandeep Singh Gill
- Plant Science
- Analytical Chemistry top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Baljit Singh KhehraLovepreet KaurOsamah Ibrahim KhalafSaleh AlghamdiYouseef AlotaibiFawaz AlasseryGuna Sekhar SajjaGaurav Gupta
- Topics
- Smart Agriculture and AI (11 papers)Spectroscopy and Chemometric Analyses (9 papers)Image Enhancement Techniques (5 papers)
- Journals
- Scientific ReportsComputers and Electronics in AgricultureMultimedia Tools and Applications
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Harmandeep Singh Gill
14 papers receiving 298 citations
Peers
Comparison fields: 5 of 82
- Plant Science 126
- Analytical Chemistry 93
- Computer Vision and Pattern Recognition 75
- Artificial Intelligence 47
- Biomedical Engineering 46
Countries citing papers authored by Harmandeep Singh Gill
This map shows the geographic impact of Harmandeep Singh Gill'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 Harmandeep Singh Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harmandeep Singh Gill more than expected).
Fields of papers citing papers by Harmandeep Singh Gill
This network shows the impact of papers produced by Harmandeep Singh Gill. 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 Harmandeep Singh Gill. The network helps show where Harmandeep Singh Gill may publish in the future.
Co-authorship network of co-authors of Harmandeep Singh Gill
This figure shows the co-authorship network connecting the top 25 collaborators of Harmandeep Singh Gill. A scholar is included among the top collaborators of Harmandeep Singh Gill 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 Harmandeep Singh Gill. Harmandeep Singh Gill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 30 | |
| 4 | 30 | |
| 5 | 36 | |
| 6 | 40 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 30 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 73 |
About Harmandeep Singh Gill
Harmandeep Singh Gill is a scholar working on Analytical Chemistry, Health Informatics and Media Technology, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Health Informatics (18 citations), Analytical Chemistry (93 citations) and Media Technology (34 citations). Harmandeep Singh Gill has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Baljit Singh Khehra, Lovepreet Kaur, Osamah Ibrahim Khalaf, Saleh Alghamdi, Youseef Alotaibi, Fawaz Alassery, Guna Sekhar Sajja, Gaurav Gupta, Abhishek Bhatt and G. Murugesan. Their work appears in journals such as Scientific Reports, Computers and Electronics in Agriculture and Multimedia Tools and Applications.
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.