Nipun D. Nath
- Radiological and Ultrasound Technology top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Civil and Structural Engineering top 5%
- Social Psychology top 10%
- Building and Construction top 5%
- Topics
- Occupational Health and Safety Research (8 papers)Infrastructure Maintenance and Monitoring (5 papers)Advanced Neural Network Applications (5 papers)
- Partner nations
- United States
In The Last Decade
Nipun D. Nath
18 papers receiving 965 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Radiological and Ultrasound Technology 381
- Computer Vision and Pattern Recognition 233
- Civil and Structural Engineering 229
- Social Psychology 141
- Building and Construction 123
Countries citing papers authored by Nipun D. Nath
This map shows the geographic impact of Nipun D. Nath'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 Nipun D. Nath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nipun D. Nath more than expected).
Fields of papers citing papers by Nipun D. Nath
This network shows the impact of papers produced by Nipun D. Nath. 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 Nipun D. Nath. The network helps show where Nipun D. Nath may publish in the future.
Co-authorship network of co-authors of Nipun D. Nath
This figure shows the co-authorship network connecting the top 25 collaborators of Nipun D. Nath. A scholar is included among the top collaborators of Nipun D. Nath 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 Nipun D. Nath. Nipun D. Nath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 35 | |
| 3 | 51 | |
| 4 | 11 | |
| 5 | 47 | |
| 6 | 9 | |
| 7 | Deep learning for site safety: Real-time detection of personal protective equipmentbreakdown → | 308 |
| 8 | 5 | |
| 9 | 203 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 98 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 173 | |
| 16 | 16 | |
| 17 | Construction Ergonomic Risk and Productivity Assessment Using Mobile Technology and Machine Learning | 2 |
| 18 | 2 | |
| 19 | Practical approach to the classification of Citrus. | 8 |
About Nipun D. Nath
Nipun D. Nath is a scholar working on Radiological and Ultrasound Technology, Geology and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 997 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (8 papers), Infrastructure Maintenance and Monitoring (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (381 citations), Medical Laboratory Technology (44 citations) and Geology (79 citations). Nipun D. Nath has collaborated with scholars based in United States. Frequent co-authors include Amir H. Behzadan, Stephanie German Paal, Yalong Pi, Reza Akhavian and Theodora Chaspari. Their work appears in journals such as Automation in Construction, Applied Ergonomics and Advanced Engineering Informatics.
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.