Ravin Kumar
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Astro and Planetary Science
- Gamma-ray bursts and supernovae
- Pulsars and Gravitational Waves Research
Papers in
-
- Computational Physics and Python Applications 3
- Gaussian Processes and Bayesian Inference 2
- Bayesian Methods and Mixture Models 2
- Logic, programming, and type systems 1
- AI-based Problem Solving and Planning 1
-
- Time Series Analysis and Forecasting 2
- Co-authors
- Osvaldo A. Martin (9 shared papers)Ari Hartikainen (1 shared paper)Junpeng Lao (7 shared papers)Christopher Fonnesbeck (1 shared paper)Michael Osthege (1 shared paper)Robert Zinkov (1 shared paper)Virgile Andreani (1 shared paper)Oriol Abril (1 shared paper)
- Journals
- Journal of Statistical Software (1 paper)PeerJ Computer Science (1 paper)Open MIND (1 paper)The Journal of Open Source Software (1 paper)
- Partner nations
- ArgentinaFinlandUnited States
In The Last Decade
Ravin Kumar
8 papers receiving 666 citations
Ravin Kumar's Hit Papers
Peers
Comparison fields: 5 of 151
- Instrumentation 45
- Astronomy and Astrophysics 155
- General Decision Sciences 17
- Statistics and Probability 42
- Statistics, Probability and Uncertainty 30
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 12 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 | 350 |
| 2 | PyMC: a modern, and comprehensive probabilistic programming framework in Python Hit paper breakdown → | 2023 | 276 |
| 3 | 2022 | 45 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 0 |
About Ravin Kumar
Ravin Kumar is a scholar working on Artificial Intelligence, Signal Processing, Statistics and Probability, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 9 papers that have together received 703 indexed citations. Recurring topics across this work include Computational Physics and Python Applications (3 papers), Gaussian Processes and Bayesian Inference (2 papers), Time Series Analysis and Forecasting (2 papers), Bayesian Methods and Mixture Models (2 papers), Logic, programming, and type systems (1 paper), Simulation Techniques and Applications (1 paper), AI-based Problem Solving and Planning (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Instrumentation (45 citations), Astronomy and Astrophysics (155 citations), General Decision Sciences (17 citations), Statistics and Probability (42 citations) and Statistics, Probability and Uncertainty (30 citations). Ravin Kumar has collaborated with scholars based in Argentina, Finland and United States. Frequent co-authors include Osvaldo A. Martin, Ari Hartikainen, Junpeng Lao, Christopher Fonnesbeck, Michael Osthege, Robert Zinkov, Virgile Andreani, Oriol Abril, Thomas V. Wiecki and Christian C. Luhmann. Their work appears in journals such as Journal of Statistical Software, PeerJ Computer Science, Open MIND 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.