Gurmail Singh
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Kin‐Choong YowStéfano Frizzo StefenonG. S. BhallaRoberto Zanetti FreireAnirban BhattacharyaAjay BatishVikas ChawlaNiraj Bala
- Topics
- Advanced Neural Network Applications (7 papers)High-Temperature Coating Behaviors (6 papers)Advanced Topics in Algebra (5 papers)
- Cited by
- Health InformaticsGeneral Agricultural and Biological SciencesComputer Vision and Pattern Recognition
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
Gurmail Singh
30 papers receiving 715 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Mechanical Engineering 279
- Electrical and Electronic Engineering 219
- Computer Vision and Pattern Recognition 158
- Artificial Intelligence 131
- Biomedical Engineering 114
Countries citing papers authored by Gurmail Singh
This map shows the geographic impact of Gurmail 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 Gurmail Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gurmail Singh more than expected).
Fields of papers citing papers by Gurmail Singh
This network shows the impact of papers produced by Gurmail 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 Gurmail Singh. The network helps show where Gurmail Singh may publish in the future.
Co-authorship network of co-authors of Gurmail Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Gurmail Singh. A scholar is included among the top collaborators of Gurmail Singh 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 Gurmail Singh. Gurmail Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 34 | |
| 4 | 46 | |
| 5 | Hybrid-YOLO for classification of insulators defects in transmission lines based on UAVbreakdown → | 118 |
| 6 | 3 | |
| 7 | 29 | |
| 8 | 38 | |
| 9 | 17 | |
| 10 | 44 | |
| 11 | 45 | |
| 12 | 16 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 0 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | Economic liberalisation and Indian agriculture: a statewise analysis. | 77 |
| 20 | Rural development in Punjab : a success story going astray | 8 |
About Gurmail Singh
Gurmail Singh is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Geometry and Topology, having authored 35 papers that have together received 779 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), High-Temperature Coating Behaviors (6 papers) and Advanced Topics in Algebra (5 papers). The work is most often cited by research in Health Informatics (19 citations), General Agricultural and Biological Sciences (83 citations) and Computer Vision and Pattern Recognition (158 citations). Gurmail Singh has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Kin‐Choong Yow, Stéfano Frizzo Stefenon, G. S. Bhalla, Roberto Zanetti Freire, Anirban Bhattacharya, Ajay Batish, Vikas Chawla, Niraj Bala, Alessandro Cimatti and Yogesh Kumar Singla. Their work appears in journals such as Scientific Reports, IEEE Access and Corrosion 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.