L. Sivakumar

415 citations
33 papers · 274 indexed · h-index 9

Impact in

Papers in

L. Sivakumar

32 papers receiving 256 citations

Peers

L. Sivakumar
Comparison fields: 5 of 46
  • Control and Systems Engineering 173
  • Numerical Analysis 13
  • Signal Processing 22
  • Computational Mechanics 41
  • Statistical and Nonlinear Physics 19
Replace R. Su with:
R. Su United States
Alok Kumar India
Lotfi Belkoura France
Eşref Eşkinat Türkiye
G. Hostetter United States
Yongsong Xiao China
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Hiromitsu Ohmori Japan
D. Soloway United States
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Citations per field
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Citations per year

Countries citing papers authored by L. Sivakumar

Since Specialization
Citations

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

Fields of papers citing papers by L. Sivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside L. Sivakumar, 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 L. Sivakumar Line = papers co-authored together L. Sivakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20162
2 20152
3 20151
4 20143
5 20141
6 20145
7
IMPLEMENTATION OF A REAL TIME SUPERVISORY CONTROLLER FOR AN ISOLATED HYBRID (WIND/ SOLAR/DIESEL) POWER SYSTEM
20142
8 20131
9 201312
10 20131
11
A Reduced Order Transfer Function Models for Alstom Gasifier using Genetic Algorithm
20126
12 20116
13
AN EFFECT OF BLADE GEOMETRY ON HEAT TRANSFER PERFORMANCE IN STIRRED VESSEL - COAL WATER SLURRY SYSTEM USING COAL GASIFICATION
20104
14 20093
15 200014
16 19826
17 19822
18 19823
19 198117
20 197549

About L. Sivakumar

L. Sivakumar is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology, Computational Mechanics, Artificial Intelligence and Mechanical Engineering, having authored 33 papers that have together received 274 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (12 papers), Control Systems and Identification (12 papers), Fault Detection and Control Systems (9 papers), Advanced Control Systems Design (8 papers), Advanced Adaptive Filtering Techniques (3 papers), Coal Combustion and Slurry Processing (3 papers), Neural Networks and Applications (3 papers) and Extremum Seeking Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (173 citations), Numerical Analysis (13 citations), Signal Processing (22 citations), Computational Mechanics (41 citations) and Statistical and Nonlinear Physics (19 citations). L. Sivakumar has collaborated with scholars based in India and United Kingdom. Frequent co-authors include G.P. Rao, B. L. Deekshatulu, N. Yadaiah, A. Ragupathy, K.K. Rajan, Vittal S. Rao, G. Padmakumar, M. Umapathy, J. Jayakumar and P. Kalyanasundaram. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE, Applied Soft Computing, Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy and Journal of Process Control.

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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