Maya P. Bhatia
- Atmospheric Science top 2%
- Ecology top 5%
- Oceanography top 5%
- Paleontology top 2%
- Environmental Chemistry top 5%
- Co-authors
- Sarah B. DasElizabeth B. KujawinskiMatthew A. CharetteIan M. HowatDaniel LizarraldeIan JoughinM. D. BehnMatt A. King
- Topics
- Cryospheric studies and observations (12 papers)Microbial Community Ecology and Physiology (10 papers)Polar Research and Ecology (8 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Maya P. Bhatia
23 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Atmospheric Science 1.2k
- Ecology 647
- Oceanography 406
- Paleontology 368
- Environmental Chemistry 250
Countries citing papers authored by Maya P. Bhatia
This map shows the geographic impact of Maya P. Bhatia'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 Maya P. Bhatia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya P. Bhatia more than expected).
Fields of papers citing papers by Maya P. Bhatia
This network shows the impact of papers produced by Maya P. Bhatia. 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 Maya P. Bhatia. The network helps show where Maya P. Bhatia may publish in the future.
Co-authorship network of co-authors of Maya P. Bhatia
This figure shows the co-authorship network connecting the top 25 collaborators of Maya P. Bhatia. A scholar is included among the top collaborators of Maya P. Bhatia 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 Maya P. Bhatia. Maya P. Bhatia 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 35 | |
| 8 | 22 | |
| 9 | 36 | |
| 10 | 88 | |
| 11 | 15 | |
| 12 | 40 | |
| 13 | 51 | |
| 14 | 230 | |
| 15 | 124 | |
| 16 | 52 | |
| 17 | 161 | |
| 18 | 10 | |
| 19 | Fossil steroids record the appearance of Demospongiae during the Cryogenian periodbreakdown → | 519 |
| 20 | Direct Observations of Melt-Water Lake Drainage and the Establishment of an Efficient Surface to Basal Water Connection on the Greenland Ice Sheet | 1 |
About Maya P. Bhatia
Maya P. Bhatia is a scholar working on Atmospheric Science, Ecology and Oceanography, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cryospheric studies and observations (12 papers), Microbial Community Ecology and Physiology (10 papers) and Polar Research and Ecology (8 papers). The work is most often cited by research in Atmospheric Science (1.2k citations), Paleontology (368 citations) and Oceanography (406 citations). Maya P. Bhatia has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Sarah B. Das, Elizabeth B. Kujawinski, Matthew A. Charette, Ian M. Howat, Daniel Lizarralde, Ian Joughin, M. D. Behn, Matt A. King, Paul B. Henderson and Krista Longnecker. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.