Lovedeep Singh Dhingra
About
In The Last Decade
Lovedeep Singh Dhingra
34 papers receiving 415 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cardiology and Cardiovascular Medicine 221
- Health Informatics 91
- Radiology, Nuclear Medicine and Imaging 71
- Artificial Intelligence 54
- Health Information Management 37
Countries citing papers authored by Lovedeep Singh Dhingra
This map shows the geographic impact of Lovedeep Singh Dhingra'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 Lovedeep Singh Dhingra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lovedeep Singh Dhingra more than expected).
Fields of papers citing papers by Lovedeep Singh Dhingra
This network shows the impact of papers produced by Lovedeep Singh Dhingra. 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 Lovedeep Singh Dhingra. The network helps show where Lovedeep Singh Dhingra may publish in the future.
Co-authorship network of co-authors of Lovedeep Singh Dhingra
This figure shows the co-authorship network connecting the top 25 collaborators of Lovedeep Singh Dhingra. A scholar is included among the top collaborators of Lovedeep Singh Dhingra 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 Lovedeep Singh Dhingra. Lovedeep Singh Dhingra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study breakdown → | 20 |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 63 | |
| 12 | 44 | |
| 13 | 2 | |
| 14 | Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020 breakdown → | 71 |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 20 | |
| 20 | 36 |
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.