S. Devendiran

559 citations
32 papers · 428 indexed · h-index 13

Impact in

Papers in

S. Devendiran

30 papers receiving 401 citations

Peers

S. Devendiran
Comparison fields: 5 of 62
  • Mechanical Engineering 267
  • Bioengineering 34
  • Control and Systems Engineering 94
  • Electrical and Electronic Engineering 207
  • Industrial and Manufacturing Engineering 33
Replace Haotian Shi with:
Haotian Shi China
Iñaki Bravo-Imaz Spain
Yuzhong Cao China
Yunlong Wang China
Songyuan Li China
Bob Willis United Kingdom
Zbigniew Nadolny Poland
Xiaodong Shao China
Chunguang Suo China
Ludovico Ortombina Italy
S. Devendiran relative to Haotian Shi China Haotian Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Devendiran

Since Specialization
Citations

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

Fields of papers citing papers by S. Devendiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside S. Devendiran, 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 S. Devendiran Line = papers co-authored together S. Devendiran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201444
2 201643
3 201937
4 202030
5 201428
6 202227
7 202326
8 201925
9 201921
10 202020
11 201818
12 201814
13 201813
14 201911
15 201911
16 201811
17
Diagnostics of gear faults using ensemble empirical mode decomposition, hybrid binary bat algorithm and machine learning algorithms
201510
18 20188
19 20227
20 20246

About S. Devendiran

S. Devendiran is a scholar working on Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Ecological Modeling, having authored 32 papers that have together received 428 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (16 papers), Advanced Machining and Optimization Techniques (15 papers), Advanced Surface Polishing Techniques (9 papers), Machine Fault Diagnosis Techniques (7 papers), Fault Detection and Control Systems (5 papers), Gear and Bearing Dynamics Analysis (5 papers), Gas Sensing Nanomaterials and Sensors (3 papers) and Engineering Diagnostics and Reliability (3 papers). The work is most often cited by research in Mechanical Engineering (267 citations), Bioengineering (34 citations), Control and Systems Engineering (94 citations), Electrical and Electronic Engineering (207 citations) and Industrial and Manufacturing Engineering (33 citations). S. Devendiran has collaborated with scholars based in India, Egypt and Iran. Frequent co-authors include K. Venkatesan, D. Sastikumar, K. Manivannan, Sathiyabhama Balasubramaniam, Arun Tom Mathew, Nouby M. Ghazaly, B. Saravanan, M.A. Asokan, Sahil Gupta and Swathi Jamjala Narayanan. Their work appears in journals such as Materials and Manufacturing Processes, Canadian Metallurgical Quarterly, Measurement, Optical Fiber Technology and Sensors and Actuators B Chemical.

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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