Sandeep Pattnaik
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Oceanography top 5%
- Environmental Engineering top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- T. N. KrishnamurtiP. V. RajeshS. AbhilashA. K. SahaiRobert S. RossP. S. SalvekarMedha DeshpandeD. S. Pai
- Topics
- Meteorological Phenomena and Simulations (60 papers)Climate variability and models (59 papers)Tropical and Extratropical Cyclones Research (46 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sandeep Pattnaik
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 53
- Atmospheric Science 988
- Global and Planetary Change 898
- Oceanography 256
- Environmental Engineering 94
- Ecology, Evolution, Behavior and Systematics 39
Countries citing papers authored by Sandeep Pattnaik
This map shows the geographic impact of Sandeep Pattnaik'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 Sandeep Pattnaik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Pattnaik more than expected).
Fields of papers citing papers by Sandeep Pattnaik
This network shows the impact of papers produced by Sandeep Pattnaik. 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 Sandeep Pattnaik. The network helps show where Sandeep Pattnaik may publish in the future.
Co-authorship network of co-authors of Sandeep Pattnaik
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Pattnaik. A scholar is included among the top collaborators of Sandeep Pattnaik 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 Sandeep Pattnaik. Sandeep Pattnaik 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 94 | |
| 16 | 22 | |
| 17 | The INCOMPASS project field and modelling campaign: Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea | 1 |
| 18 | Simulation and extended range prediction of monsoon intraseasonal oscillations in NCEP CFS/GFS version 2 framework | 67 |
| 19 | 50 | |
| 20 | 29 |
About Sandeep Pattnaik
Sandeep Pattnaik is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (60 papers), Climate variability and models (59 papers) and Tropical and Extratropical Cyclones Research (46 papers). The work is most often cited by research in Atmospheric Science (988 citations), Global and Planetary Change (898 citations) and Oceanography (256 citations). Sandeep Pattnaik has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include T. N. Krishnamurti, T. N. Krishnamurti, P. V. Rajesh, S. Abhilash, A. K. Sahai, Robert S. Ross, P. S. Salvekar, Medha Deshpande, D. S. Pai and Arun Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.