Arun Rajkumar

631 citations
37 papers · 410 · h-index 10

Impact in

Papers in

Arun Rajkumar

34 papers receiving 380 citations

Peers

Arun Rajkumar
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 246
  • Electronic, Optical and Magnetic Materials 68
  • Artificial Intelligence 113
  • Materials Chemistry 145
  • Control and Systems Engineering 72
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Citations per year

Countries citing papers authored by Arun Rajkumar

Since Specialization
Citations

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

Fields of papers citing papers by Arun Rajkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Arun Rajkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arun Rajkumar Line = papers co-authored together Arun Rajkumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200898
2
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data
201450
3
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
201246
4 200241
5 201920
6 200419
7
Multi-source iterative adaptation for cross-domain classification
201617
8 200814
9 201310
10 202210
11 20109
12 20068
13 19888
14 20028
15
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions
20165
16 20065
17 20145
18 20135
19 20214
20
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top
20153

About Arun Rajkumar

Arun Rajkumar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics, having authored 37 papers that have together received 410 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (9 papers), Multilevel Inverters and Converters (7 papers), Advanced DC-DC Converters (5 papers), Advanced Bandit Algorithms Research (5 papers), Power Systems Fault Detection (4 papers), Auction Theory and Applications (4 papers), Electric Motor Design and Analysis (4 papers) and Magnetic Properties and Applications (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (246 citations), Electronic, Optical and Magnetic Materials (68 citations), Artificial Intelligence (113 citations), Materials Chemistry (145 citations) and Control and Systems Engineering (72 citations). Arun Rajkumar has collaborated with scholars based in India, United States and France. Frequent co-authors include Shivani Agarwal, Himanshu S. Bhatt, Shourya Roy, P.V.N. Prasad, V. Indragandhi, B. Gunasekaran, Faruk Kazi, H. A. Mangalvedekar, Manjesh K. Hanawal and T. M. Thamizh Thentral. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, Ain Shams Engineering Journal, Tunnelling and Underground Space Technology, IEEE Transactions on Instrumentation and Measurement and IET Science Measurement & Technology.

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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