Ojas Pradhan
Impact in
- Building and Construction top 5%
- Building Energy and Comfort Optimization
Papers in
-
- Fault Detection and Control Systems 5
- Smart Grid Security and Resilience 2
- Elevator Systems and Control 2
-
- Building Energy and Comfort Optimization 7
- Co-authors
- Jin Wen (12 shared papers)Zheng O’Neill (11 shared papers)Yimin Chen (3 shared papers)Teresa Wu (9 shared papers)John Clauß (1 shared paper)Marco Savino Piscitelli (1 shared paper)Franz Hengel (1 shared paper)Shohei Miyata (1 shared paper)
- Journals
- Science and Technology for the Built Environment (3 papers)Energy and Buildings (3 papers)Applied Energy (2 papers)Information Sciences (1 paper)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Ojas Pradhan
12 papers receiving 286 citations
Ojas Pradhan's Hit Papers
Peers
Comparison fields: 5 of 56
- Building and Construction 116
- Medical Laboratory Technology 7
- Control and Systems Engineering 110
- Industrial and Manufacturing Engineering 23
- Statistics, Probability and Uncertainty 13
Countries citing papers authored by Ojas Pradhan
This map shows the geographic impact of Ojas Pradhan'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 Ojas Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ojas Pradhan more than expected).
Fields of papers citing papers by Ojas Pradhan
This network shows the impact of papers produced by Ojas Pradhan. 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 Ojas Pradhan. The network helps show where Ojas Pradhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ojas Pradhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A review of data-driven fault detection and diagnostics for building HVAC systems Hit paper breakdown → | 2023 | 173 |
| 2 | 2022 | 35 | |
| 3 | 2022 | 32 | |
| 4 | 2022 | 9 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 |
About Ojas Pradhan
Ojas Pradhan is a scholar working on Control and Systems Engineering, Building and Construction, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (7 papers), Fault Detection and Control Systems (5 papers), Anomaly Detection Techniques and Applications (4 papers), Smart Grid Security and Resilience (2 papers), Elevator Systems and Control (2 papers), Electrostatic Discharge in Electronics (2 papers), Imbalanced Data Classification Techniques (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Building and Construction (116 citations), Medical Laboratory Technology (7 citations), Control and Systems Engineering (110 citations), Industrial and Manufacturing Engineering (23 citations) and Statistics, Probability and Uncertainty (13 citations). Ojas Pradhan has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Jin Wen, Zheng O’Neill, Yimin Chen, Teresa Wu, John Clauß, Marco Savino Piscitelli, Franz Hengel, Shohei Miyata, Wei Liu and Seungjae Lee. Their work appears in journals such as Science and Technology for the Built Environment, Energy and Buildings, Applied Energy and Information Sciences.
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.