M. Sasikumar

985 citations
111 papers · 747 · h-index 12

Impact in

Papers in

M. Sasikumar

104 papers receiving 645 citations

Peers

M. Sasikumar
Comparison fields: 5 of 91
  • Information Systems 251
  • Computer Science Applications 61
  • Human Factors and Ergonomics 25
  • Computer Vision and Pattern Recognition 158
  • Occupational Therapy 23
Replace Željko Obrenović with:
Željko Obrenović Netherlands
Asterios Leonidis Greece
Neelu Jyothi Ahuja India
Davide Mulfari Italy
Windson Viana Brazil
Marco Manca Italy
Sébastien Cuendet Switzerland
Bruno Dumas Belgium
Dušan Starčević Serbia
Ephraim P. Glinert United States
M. Sasikumar relative to Željko Obrenović Netherlands Željko Obrenović's profile →
Citations per field
00.5×
Željko Obrenović · 1×
Citations per year

Countries citing papers authored by M. Sasikumar

Since Specialization
Citations

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

Fields of papers citing papers by M. Sasikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Sasikumar, 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 M. Sasikumar Line = papers co-authored together M. Sasikumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201593
2 201064
3 201563
4 200847
5 201222
6 201220
7 201518
8 201918
9 201813
10 201613
11 201112
12 201111
13 201211
14 201011
15 201610
16 200710
17 201210
18 201410
19 201110
20 20159

About M. Sasikumar

M. Sasikumar is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Control and Systems Engineering, having authored 111 papers that have together received 747 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (29 papers), Advanced DC-DC Converters (19 papers), Microgrid Control and Optimization (15 papers), Innovative Teaching and Learning Methods (10 papers), Wind Turbine Control Systems (9 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers), Cloud Data Security Solutions (8 papers) and Photovoltaic System Optimization Techniques (7 papers). The work is most often cited by research in Information Systems (251 citations), Computer Science Applications (61 citations), Human Factors and Ergonomics (25 citations), Computer Vision and Pattern Recognition (158 citations) and Occupational Therapy (23 citations). M. Sasikumar has collaborated with scholars based in India, Nepal and United States. Frequent co-authors include Rizwana Shaikh, S. Chenthur Pandian, Sridhar Iyer, Abhijit Joshi, Akshay Kumar, S. Senthilkumar, V. Sridevi, Shitanshu Mishra, Amarjeet Kaur and Rathi Mahendran. Their work appears in journals such as Indian Journal of Science and Technology, Research and Practice in Technology Enhanced Learning, SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Infectious Diseases and Journal of Testing and Evaluation.

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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