Monica Bobra
- Astronomy and Astrophysics top 2%
- Molecular Biology
- Artificial Intelligence top 5%
- Renewable Energy, Sustainability and the Environment
- Computer Vision and Pattern Recognition
- Topics
- Solar and Space Plasma Dynamics (27 papers)Stellar, planetary, and galactic studies (12 papers)Solar Radiation and Photovoltaics (11 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Monica Bobra
33 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Astronomy and Astrophysics 1.4k
- Molecular Biology 395
- Artificial Intelligence 380
- Renewable Energy, Sustainability and the Environment 64
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Monica Bobra
This map shows the geographic impact of Monica Bobra'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 Monica Bobra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Bobra more than expected).
Fields of papers citing papers by Monica Bobra
This network shows the impact of papers produced by Monica Bobra. 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 Monica Bobra. The network helps show where Monica Bobra may publish in the future.
Co-authorship network of co-authors of Monica Bobra
This figure shows the co-authorship network connecting the top 25 collaborators of Monica Bobra. A scholar is included among the top collaborators of Monica Bobra 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 Monica Bobra. Monica Bobra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 40 | |
| 3 | 3 | |
| 4 | 25 | |
| 5 | A Survey of Computational Tools in Solar Physics | 4 |
| 6 | 51 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 50 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | Using Sun's Far-Side Images Inferred by the Time-Distance Helioseismic Imaging to Improve Synoptic Maps of Magnetic Field: Importance and Methodology | 1 |
| 13 | Predicting Solar Activity Using Machine-Learning Methods | 2 |
| 14 | CME Prediction Using SDO, SoHO, and STEREO data with a Machine Learning Algorithm | 1 |
| 15 | Solar Flare Forecasting Using Time Series of SDO/HMI Vector Magnetic Field Data and Machine Learning Methods | 1 |
| 16 | Solar Flare Predictions Using Time Series of SDO/HMI Observations and Machine Learning Methods | 1 |
| 17 | 35 | |
| 18 | Tracked Active Region Patches for MDI and HMI | 1 |
| 19 | SHARPs - A New Space Weather Data Product from SDO/HMI | 0 |
| 20 | Magnetic activity and the solar corona: first results from the Hinode satellite . | 1 |
About Monica Bobra
Monica Bobra is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Geophysics, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (27 papers), Stellar, planetary, and galactic studies (12 papers) and Solar Radiation and Photovoltaics (11 papers). The work is most often cited by research in Astronomy and Astrophysics (1.4k citations), Artificial Intelligence (380 citations) and Molecular Biology (395 citations). Monica Bobra has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include J. T. Hoeksema, Xudong Sun, Yang Liu, Keiji Hayashi, M. Turmon, G. Barnes, K. D. Leka, A. A. Norton, J. Schou and Sébastien Couvidat. Their work appears in journals such as Science, The Astrophysical Journal and Geophysical Research Letters.
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.