Pradeep Kundu

38 papers receiving 840 citations

Hit Papers

An adaptive feature mode decomposition based on a novel h...20242026202520241020304050

Peers

Pradeep Kundu
Comparison fields: 5 of 80
  • Control and Systems Engineering 499
  • Mechanical Engineering 429
  • Mechanics of Materials 193
  • Industrial and Manufacturing Engineering 126
  • Safety, Risk, Reliability and Quality 92
Replace Yuanhang Wang with:
Yuanhang Wang China
Xiaolong Liu China
Pooja Kamat India
Jiacheng Xie China
Sasan Sattarpanah Karganroudi Canada
Zexian Wei China
Chuanhai Chen China
Changchang Che China
Adam Thelen United States
Pradeep Kundu relative to Yuanhang Wang China Yuanhang Wang's profile →
Citations per field
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Yuanhang Wang · 1×
Citations per year

Countries citing papers authored by Pradeep Kundu

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kundu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Kundu

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Kundu. A scholar is included among the top collaborators of Pradeep Kundu 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 Pradeep Kundu. Pradeep Kundu 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
#WorkIndexed citations
1 7
2 1
3 11
4 4
5 2
6 5
7 27
8 15
9 1
10 10
11 4
12 5
13 14
14 1
15 5
16 2
17 94
18 15
19 9
20
Development of a Risk Based Maintenance Strategy to Optimize Forecast of a Gas Turbine Failures
5

About Pradeep Kundu

Pradeep Kundu is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Metals and Alloys, having authored 38 papers that have together received 868 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (19 papers), Gear and Bearing Dynamics Analysis (14 papers) and Engineering Diagnostics and Reliability (8 papers). The work is most often cited by research in Control and Systems Engineering (499 citations), Medical Laboratory Technology (21 citations) and Industrial and Manufacturing Engineering (126 citations). Pradeep Kundu has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Ashish K. Darpe, Makarand S. Kulkarni, Jay Lee, Govind Vashishtha, Anil Kumar, Hesheng Tang, Jiawei Xiang, Bhupesh Kumar Lad, Adam Głowacz and Rajendra Kumar Shukla. Their work appears in journals such as Expert Systems with Applications, Mechanical Systems and Signal Processing and Reliability Engineering & System Safety.

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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