Ravin Kumar
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Astrophysics and Star Formation Studies
- Gamma-ray bursts and supernovae
- Pulsars and Gravitational Waves Research
Papers in
-
- Computational Physics and Python Applications 3
- Bayesian Methods and Mixture Models 2
- Gaussian Processes and Bayesian Inference 2
- AI-based Problem Solving and Planning 1
- Bayesian Modeling and Causal Inference 1
- Co-authors
- Osvaldo A. Martin (9 shared papers)Ari Hartikainen (1 shared paper)Colin Carroll (1 shared paper)Junpeng Lao (7 shared papers)Larry Dong (1 shared paper)Christopher Fonnesbeck (1 shared paper)Virgile Andreani (1 shared paper)Oriol Abril Pla (1 shared paper)
- Journals
- PeerJ Computer Science (1 paper)Journal of Statistical Software (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- ArgentinaFinlandUnited States
In The Last Decade
Ravin Kumar
8 papers receiving 796 citations
Ravin Kumar's Hit Papers
Peers
Comparison fields: 5 of 160
- Instrumentation 69
- Astronomy and Astrophysics 231
- General Decision Sciences 17
- Statistics and Probability 41
- Statistics, Probability and Uncertainty 31
Countries citing papers authored by Ravin Kumar
This map shows the geographic impact of Ravin Kumar'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 Ravin Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravin Kumar more than expected).
Fields of papers citing papers by Ravin Kumar
This network shows the impact of papers produced by Ravin Kumar. 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 Ravin Kumar. The network helps show where Ravin Kumar may publish in the future.
Co-authors
The 14 scholars most cited alongside Ravin Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ArviZ a unified library for exploratory analysis of Bayesian models in Python Hit paper breakdown → | 2019 | 432 |
| 2 | PyMC: a modern, and comprehensive probabilistic programming framework in Python Hit paper breakdown → | 2023 | 335 |
| 3 | 2022 | 50 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 0 |
About Ravin Kumar
Ravin Kumar is a scholar working on Artificial Intelligence, Statistics and Probability, Signal Processing, Management Science and Operations Research and Computational Theory and Mathematics, having authored 9 papers that have together received 850 indexed citations. Recurring topics across this work include Computational Physics and Python Applications (3 papers), Bayesian Methods and Mixture Models (2 papers), Time Series Analysis and Forecasting (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Face and Expression Recognition (1 paper), AI-based Problem Solving and Planning (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Instrumentation (69 citations), Astronomy and Astrophysics (231 citations), General Decision Sciences (17 citations), Statistics and Probability (41 citations) and Statistics, Probability and Uncertainty (31 citations). Ravin Kumar has collaborated with scholars based in Argentina, Finland and United States. Frequent co-authors include Osvaldo A. Martin, Ari Hartikainen, Colin Carroll, Junpeng Lao, Larry Dong, Christopher Fonnesbeck, Virgile Andreani, Oriol Abril Pla, Thomas V. Wiecki and Christian C. Luhmann. Their work appears in journals such as PeerJ Computer Science, Journal of Statistical Software and The Journal of Open Source Software.
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.