Pratik Gajane
About
In The Last Decade
Pratik Gajane
3 papers receiving 25 citations
Peers
Comparison fields: 5 of 10
- Artificial Intelligence 19
- Management Science and Operations Research 18
- Electrical and Electronic Engineering 7
- Computer Networks and Communications 6
- Control and Systems Engineering 4
Countries citing papers authored by Pratik Gajane
This map shows the geographic impact of Pratik Gajane'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 Pratik Gajane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratik Gajane more than expected).
Fields of papers citing papers by Pratik Gajane
This network shows the impact of papers produced by Pratik Gajane. 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 Pratik Gajane. The network helps show where Pratik Gajane may publish in the future.
Co-authorship network of co-authors of Pratik Gajane
This figure shows the co-authorship network connecting the top 25 collaborators of Pratik Gajane. A scholar is included among the top collaborators of Pratik Gajane 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 Pratik Gajane. Pratik Gajane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Variational Regret Bounds for Reinforcement Learning | 5 |
| 2 | Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information | 1 |
| 3 | Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes | 19 |
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.