Puneet Agarwal
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Environmental Engineering top 5%
- Co-authors
- Gautam ShroffLovekesh VigPankaj MalhotraLance ManuelVishnu TvScot McNeillRamesh B. MallaRais Ahmad
- Topics
- Wind and Air Flow Studies (14 papers)Wind Energy Research and Development (12 papers)Topic Modeling (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEngineering Structures
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Puneet Agarwal
80 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 644
- Signal Processing 326
- Computer Networks and Communications 322
- Control and Systems Engineering 201
- Environmental Engineering 195
Countries citing papers authored by Puneet Agarwal
This map shows the geographic impact of Puneet Agarwal'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 Puneet Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puneet Agarwal more than expected).
Fields of papers citing papers by Puneet Agarwal
This network shows the impact of papers produced by Puneet Agarwal. 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 Puneet Agarwal. The network helps show where Puneet Agarwal may publish in the future.
Co-authorship network of co-authors of Puneet Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Puneet Agarwal. A scholar is included among the top collaborators of Puneet Agarwal 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 Puneet Agarwal. Puneet Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | Improved Question Answering using Domain Prediction. | 2 |
| 5 | 6 | |
| 6 | 22 | |
| 7 | TimeNet: Pre-trained deep recurrent neural network for time series classification. | 6 |
| 8 | Visual Bayesian fusion to navigate a data lake | 3 |
| 9 | 1 | |
| 10 | Long Short Term Memory Networks for Anomaly Detection in Time Series.breakdown → | 748 |
| 11 | Business data fusion | 6 |
| 12 | 6 | |
| 13 | Prescriptive information fusion | 7 |
| 14 | Graph-Parallel Entity Resolution using LSH & IMM | 6 |
| 15 | Incremental entity fusion from linked documents | 1 |
| 16 | 19 | |
| 17 | A blackboard architecture for data-intensive information fusion using locality-sensitive hashing | 0 |
| 18 | Enterprise information fusion for real-time business intelligence | 10 |
| 19 | 5 | |
| 20 | 1 |
About Puneet Agarwal
Puneet Agarwal is a scholar working on Statistics, Probability and Uncertainty, Ocean Engineering and Environmental Engineering, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (14 papers), Wind Energy Research and Development (12 papers) and Topic Modeling (11 papers). The work is most often cited by research in Signal Processing (326 citations), Artificial Intelligence (644 citations) and Statistics, Probability and Uncertainty (120 citations). Puneet Agarwal has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Gautam Shroff, Lovekesh Vig, Pankaj Malhotra, Lance Manuel, Pankaj Malhotra, Vishnu Tv, Scot McNeill, Ramesh B. Malla, Rais Ahmad and Rajesh M. Hegde. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Engineering Structures.
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.