Nandini Kannan
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Safety, Risk, Reliability and Quality top 2%
- Global and Planetary Change
- Pulmonary and Respiratory Medicine
- Co-authors
- N. BalakrishnanDebasis KunduChien‐Tai LinHon Keung Tony NgAndrew A. PilmanisSam J. S. WuJames T. WebbRam C. Tripathi
- Topics
- Statistical Distribution Estimation and Applications (14 papers)Cardiovascular and Diving-Related Complications (10 papers)High Altitude and Hypoxia (10 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Nandini Kannan
32 papers receiving 714 citations
Peers
Comparison fields: 5 of 94
- Statistics and Probability 569
- Statistics, Probability and Uncertainty 385
- Safety, Risk, Reliability and Quality 176
- Global and Planetary Change 87
- Pulmonary and Respiratory Medicine 74
Countries citing papers authored by Nandini Kannan
This map shows the geographic impact of Nandini Kannan'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 Nandini Kannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nandini Kannan more than expected).
Fields of papers citing papers by Nandini Kannan
This network shows the impact of papers produced by Nandini Kannan. 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 Nandini Kannan. The network helps show where Nandini Kannan may publish in the future.
Co-authorship network of co-authors of Nandini Kannan
This figure shows the co-authorship network connecting the top 25 collaborators of Nandini Kannan. A scholar is included among the top collaborators of Nandini Kannan 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 Nandini Kannan. Nandini Kannan 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 | 2 | |
| 3 | NSF Big Data Funding Opportunity for the Statistics Community | 1 |
| 4 | 33 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 107 | |
| 9 | 123 | |
| 10 | 51 | |
| 11 | 91 | |
| 12 | Statistical Methods and Practice: Recent Advances | 10 |
| 13 | 1 | |
| 14 | 22 | |
| 15 | Altitude Decompression Sickness Risk Prediction Research | 2 |
| 16 | The effect of staged decompression while breathing 100% oxygen on altitude decompression sickness. | 5 |
| 17 | Relating Venous Gas Emboli (VGE) Scores to Altitude Decompression Sickness (DCS) Symptoms | 1 |
| 18 | 6 | |
| 19 | 44 | |
| 20 | 4 |
About Nandini Kannan
Nandini Kannan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Genetics, having authored 33 papers that have together received 760 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (14 papers), Cardiovascular and Diving-Related Complications (10 papers) and High Altitude and Hypoxia (10 papers). The work is most often cited by research in Statistics and Probability (569 citations), Statistics, Probability and Uncertainty (385 citations) and Safety, Risk, Reliability and Quality (176 citations). Nandini Kannan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include N. Balakrishnan, Debasis Kundu, Chien‐Tai Lin, Hon Keung Tony Ng, Andrew A. Pilmanis, Sam J. S. Wu, James T. Webb, Ram C. Tripathi, Jerome P. Keating and Ulf I Balldin. Their work appears in journals such as Signal Processing, Mathematical Biosciences and Computational Statistics & Data Analysis.
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.