Computational Physics and Python Applications (3 papers)Gaussian Processes and Bayesian Inference (2 papers)Time Series Analysis and Forecasting (2 papers)
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
ArviZ a unified library for exploratory analysis of Bayesian models in Python
2019330 citationsRavin Kumar, Ari Hartikainen et al.The Journal of Open Source Softwareprofile →
PyMC: a modern, and comprehensive probabilistic programming framework in Python
2023244 citationsOriol Abril, Virgile Andreani et al.PeerJ Computer Scienceprofile →
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).
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-authorship network of co-authors of Ravin Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Ravin Kumar.
A scholar is included among the top collaborators of Ravin Kumar 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 Ravin Kumar. Ravin Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
4 of 4 papers shown
#
Work
Indexed citations
1
PyMC: a modern, and comprehensive probabilistic programming framework in Pythonbreakdown →
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.