Rajat Sen

832 total citations
23 papers, 150 citations indexed

About

Rajat Sen is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Rajat Sen has authored 23 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in Rajat Sen's work include Advanced Bandit Algorithms Research (9 papers), Electrodeposition and Electroless Coatings (8 papers) and Corrosion Behavior and Inhibition (4 papers). Rajat Sen is often cited by papers focused on Advanced Bandit Algorithms Research (9 papers), Electrodeposition and Electroless Coatings (8 papers) and Corrosion Behavior and Inhibition (4 papers). Rajat Sen collaborates with scholars based in India, United States and Germany. Rajat Sen's co-authors include Gautam Majumdar, Sanjay Shakkottai, B. Ghosh, Kirthevasan Kandasamy, Samik Dutta, Ranjan Sen, Sewoong Oh, Gustavo de Veciana, Karthikeyan Shanmugam and Ayesha Khalid and has published in prestigious journals such as Thin Solid Films, IEEE/ACM Transactions on Networking and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Rajat Sen

20 papers receiving 141 citations

Peers

Rajat Sen
Comparison fields: 5 of 45
  • Electrical and Electronic Engineering 72
  • Materials Chemistry 52
  • Artificial Intelligence 28
  • Mechanical Engineering 21
  • Management Science and Operations Research 20
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Citations per field, relative to Rajat Sen
Rajat Sen · 1×
Citations per year, relative to Rajat Sen
Rajat Sen · 1×

Countries citing papers authored by Rajat Sen

Since Specialization
Citations

This map shows the geographic impact of Rajat Sen'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 Rajat Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajat Sen more than expected).

Fields of papers citing papers by Rajat Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajat Sen. 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 Rajat Sen. The network helps show where Rajat Sen may publish in the future.

Co-authorship network of co-authors of Rajat Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Rajat Sen. A scholar is included among the top collaborators of Rajat Sen 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 Rajat Sen. Rajat Sen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 7
5 1
6
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
3
7
Blocking Bandits
1
8 6
9 5
10
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions
12
11
Contextual Bandits with Stochastic Experts.
1
12
Model-Powered Conditional Independence Test
3
13 4
14 0
15 10
16 4
17 26
18 4
19 6
20 24

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.

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