Nipun D. Nath

1.4k total citations · 1 hit paper
19 papers, 997 citations indexed

About

Nipun D. Nath is a scholar working on Computer Vision and Pattern Recognition, Radiological and Ultrasound Technology and Civil and Structural Engineering. According to data from OpenAlex, Nipun D. Nath has authored 19 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Radiological and Ultrasound Technology and 5 papers in Civil and Structural Engineering. Recurrent topics in Nipun D. Nath's work include Occupational Health and Safety Research (8 papers), Infrastructure Maintenance and Monitoring (5 papers) and Advanced Neural Network Applications (5 papers). Nipun D. Nath is often cited by papers focused on Occupational Health and Safety Research (8 papers), Infrastructure Maintenance and Monitoring (5 papers) and Advanced Neural Network Applications (5 papers). Nipun D. Nath collaborates with scholars based in United States. Nipun D. Nath's co-authors include Amir H. Behzadan, Stephanie German Paal, Yalong Pi, Reza Akhavian and Theodora Chaspari and has published in prestigious journals such as Automation in Construction, Applied Ergonomics and Advanced Engineering Informatics.

In The Last Decade

Nipun D. Nath

18 papers receiving 965 citations

Hit Papers

Deep learning for site safety: Real-time detection of per... 2020 2026 2022 2024 2020 100 200 300

Peers

Nipun D. Nath
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
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Citations per field, relative to Nipun D. Nath
Nipun D. Nath · 1×
Citations per year, relative to Nipun D. Nath
Nipun D. Nath · 1×

Countries citing papers authored by Nipun D. Nath

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
# 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 equipment breakdown →
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

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.

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